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class="profile-user-info DesignSystem"><div class="social-profile-container"><div class="left-panel-container"><div class="user-info-component-wrapper"><div class="user-summary-cta-container"><div class="user-summary-container"><div class="social-profile-avatar-container"><img class="profile-avatar u-positionAbsolute" alt="Andrew F Beck" border="0" onerror="if (this.src != '//a.academia-assets.com/images/s200_no_pic.png') this.src = '//a.academia-assets.com/images/s200_no_pic.png';" width="200" height="200" src="https://0.academia-photos.com/41901989/12122605/13502928/s200_andrew.beck.jpg" /></div><div class="title-container"><h1 class="ds2-5-heading-sans-serif-sm">Andrew F Beck</h1><div class="affiliations-container fake-truncate js-profile-affiliations"><div><a class="u-tcGrayDarker" href="https://cchmc.academia.edu/">Cincinnati Children's Hospital Medical Center</a>, <a class="u-tcGrayDarker" 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id="social-redesign-work-container"><div class="upload-header"><h2 class="ds2-5-heading-sans-serif-xs">Uploads</h2></div><div class="nav-container backbone-profile-documents-nav hidden-xs"><ul class="nav-tablist" role="tablist"><li class="nav-chip active" role="presentation"><a data-section-name="" data-toggle="tab" href="#all" role="tab">all</a></li><li class="nav-chip" role="presentation"><a class="js-profile-docs-nav-section u-textTruncate" data-click-track="profile-works-tab" data-section-name="Papers" data-toggle="tab" href="#papers" role="tab" title="Papers"><span>86</span> <span class="ds2-5-body-sm-bold">Papers</span></a></li><li class="nav-chip" role="presentation"><a class="js-profile-docs-nav-section u-textTruncate" data-click-track="profile-works-tab" data-section-name="Publications" data-toggle="tab" href="#publications" role="tab" title="Publications"><span>1</span> <span class="ds2-5-body-sm-bold">Publications</span></a></li></ul></div><div class="divider ds-divider-16" style="margin: 0px;"></div><div class="documents-container backbone-social-profile-documents" style="width: 100%;"><div class="u-taCenter"></div><div class="profile--tab_content_container js-tab-pane tab-pane active" id="all"><div class="profile--tab_heading_container js-section-heading" data-section="Papers" id="Papers"><h3 class="profile--tab_heading_container">Papers by Andrew F Beck</h3></div><div class="js-work-strip profile--work_container" data-work-id="23673245"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/23673245/Geographic_Variation_in_Hospitalization_for_Pediatric_Lower_Respiratory_Tract_Infections_Across_One_County"><img alt="Research paper thumbnail of Geographic Variation in Hospitalization for Pediatric Lower Respiratory Tract Infections Across One County" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div 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href="https://www.academia.edu/21518182/Video_Curriculum_on_Screening_for_the_Social_Determinants_of_Health">Video Curriculum on Screening for the Social Determinants of Health</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/AdrienneHenize">Adrienne Henize</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://cchmc.academia.edu/AndrewBeck">Andrew F Beck</a></span></div><div class="wp-workCard_item"><span>MedEdPORTAL Publications</span><span>, 2013</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="21518182"><a class="js-profile-work-strip-edit-button" 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</script> <div class="js-work-strip profile--work_container" data-work-id="20511709"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/20511709/The_Family_Perspective_on_Hospital_to_Home_Transitions_A_Qualitative_Study"><img alt="Research paper thumbnail of The Family Perspective on Hospital to Home Transitions: A Qualitative Study" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/20511709/The_Family_Perspective_on_Hospital_to_Home_Transitions_A_Qualitative_Study">The Family Perspective on Hospital to Home Transitions: A Qualitative Study</a></div><div class="wp-workCard_item"><span>Pediatrics</span><span>, 2015</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Transitions from the hospital to home can be difficult for patients and families. Family-informed...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Transitions from the hospital to home can be difficult for patients and families. Family-informed characterization of this vulnerable period may facilitate the identification of interventions to improve transitions home. Our objective was to develop a comprehensive understanding of hospital-to-home transitions from the family perspective. Using qualitative methods, focus groups and individual interviews were held with caregivers of children discharged from the hospital in the preceding 30 days. Focus groups were stratified based upon socioeconomic status. The open-ended, semistructured question guide included questions about communication and understanding of care plans, transition home, and postdischarge events. Using inductive thematic analysis, investigators coded the transcripts, resolving differences through consensus. Sixty-one caregivers participated across 11 focus groups and 4 individual interviews. 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Using inductive thematic analysis, investigators coded the transcripts, resolving differences through consensus. Sixty-one caregivers participated across 11 focus groups and 4 individual interviews. Participants were 87% female and 46% nonwhite; 38% were the only adult in t...","internal_url":"https://www.academia.edu/20511709/The_Family_Perspective_on_Hospital_to_Home_Transitions_A_Qualitative_Study","translated_internal_url":"","created_at":"2016-01-22T03:18:21.258-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":41901989,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":13359274,"work_id":20511709,"tagging_user_id":41901989,"tagged_user_id":null,"co_author_invite_id":598520,"email":"d***r@gmail.com","display_order":0,"name":"Samir Shah","title":"The Family Perspective on Hospital to Home Transitions: A Qualitative Study"},{"id":13359286,"work_id":20511709,"tagging_user_id":41901989,"tagged_user_id":null,"co_author_invite_id":3127888,"email":"j***s@cchmc.org","display_order":4194304,"name":"Jeffrey Simmons","title":"The Family Perspective on Hospital to Home Transitions: A Qualitative Study"},{"id":13359293,"work_id":20511709,"tagging_user_id":41901989,"tagged_user_id":null,"co_author_invite_id":3127889,"email":"h***s@cchmc.org","display_order":6291456,"name":"Hadley Sauers","title":"The Family Perspective on Hospital to Home Transitions: A Qualitative Study"},{"id":13359383,"work_id":20511709,"tagging_user_id":41901989,"tagged_user_id":null,"co_author_invite_id":1938030,"email":"l***n@cchmc.org","display_order":7340032,"name":"Lauren Solan","title":"The Family Perspective on Hospital to Home Transitions: A Qualitative Study"},{"id":13359384,"work_id":20511709,"tagging_user_id":41901989,"tagged_user_id":null,"co_author_invite_id":3127918,"email":"s***s@cinci.rr.com","display_order":7864320,"name":"Susan Sherman","title":"The Family Perspective on Hospital to Home Transitions: A Qualitative Study"}],"downloadable_attachments":[],"slug":"The_Family_Perspective_on_Hospital_to_Home_Transitions_A_Qualitative_Study","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":41901989,"first_name":"Andrew","middle_initials":"F","last_name":"Beck","page_name":"AndrewBeck","domain_name":"cchmc","created_at":"2016-01-22T03:17:27.931-08:00","display_name":"Andrew F Beck","url":"https://cchmc.academia.edu/AndrewBeck"},"attachments":[],"research_interests":[{"id":631,"name":"Pediatrics","url":"https://www.academia.edu/Documents/in/Pediatrics"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="20511703"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/20511703/A_Road_Map_to_Address_the_Social_Determinants_of_Health_Through_Community_Collaboration"><img alt="Research paper thumbnail of A Road Map to Address the Social Determinants of Health Through Community Collaboration" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/20511703/A_Road_Map_to_Address_the_Social_Determinants_of_Health_Through_Community_Collaboration">A Road Map to Address the Social Determinants of Health Through Community Collaboration</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://cchmc.academia.edu/AndrewBeck">Andrew F Beck</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/AdrienneHenize">Adrienne Henize</a></span></div><div class="wp-workCard_item"><span>Pediatrics</span><span>, 2015</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Economic, environmental, and psychosocial needs are common and wide-ranging among families cared ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Economic, environmental, and psychosocial needs are common and wide-ranging among families cared for in primary care settings. Still, pediatric care delivery models are not set up to systematically address these fundamental risks to health. We offer a roadmap to help structure primary care approaches to these needs through the development of comprehensive and effective collaborations between the primary care setting and community partners. We use Maslow&#39;s Hierarchy of Needs as a well-recognized conceptual model to organize, prioritize, and determine appropriate interventions that can be adapted to both small and large practices. Specifically, collaborations with community organizations expert in addressing issues commonly encountered in primary care centers can be designed and executed in a phased manner: (1) build the case for action through a family-centered risk assessment, (2) organize and prioritize risks and interventions, (3) develop and sustain interventions, and (4) ope...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="20511703"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="20511703"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 20511703; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=20511703]").text(description); $(".js-view-count[data-work-id=20511703]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 20511703; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='20511703']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 20511703, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=20511703]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":20511703,"title":"A Road Map to Address the Social Determinants of Health Through Community Collaboration","translated_title":"","metadata":{"abstract":"Economic, environmental, and psychosocial needs are common and wide-ranging among families cared for in primary care settings. Still, pediatric care delivery models are not set up to systematically address these fundamental risks to health. We offer a roadmap to help structure primary care approaches to these needs through the development of comprehensive and effective collaborations between the primary care setting and community partners. We use Maslow\u0026#39;s Hierarchy of Needs as a well-recognized conceptual model to organize, prioritize, and determine appropriate interventions that can be adapted to both small and large practices. Specifically, collaborations with community organizations expert in addressing issues commonly encountered in primary care centers can be designed and executed in a phased manner: (1) build the case for action through a family-centered risk assessment, (2) organize and prioritize risks and interventions, (3) develop and sustain interventions, and (4) ope...","publication_date":{"day":null,"month":null,"year":2015,"errors":{}},"publication_name":"Pediatrics"},"translated_abstract":"Economic, environmental, and psychosocial needs are common and wide-ranging among families cared for in primary care settings. Still, pediatric care delivery models are not set up to systematically address these fundamental risks to health. We offer a roadmap to help structure primary care approaches to these needs through the development of comprehensive and effective collaborations between the primary care setting and community partners. We use Maslow\u0026#39;s Hierarchy of Needs as a well-recognized conceptual model to organize, prioritize, and determine appropriate interventions that can be adapted to both small and large practices. Specifically, collaborations with community organizations expert in addressing issues commonly encountered in primary care centers can be designed and executed in a phased manner: (1) build the case for action through a family-centered risk assessment, (2) organize and prioritize risks and interventions, (3) develop and sustain interventions, and (4) ope...","internal_url":"https://www.academia.edu/20511703/A_Road_Map_to_Address_the_Social_Determinants_of_Health_Through_Community_Collaboration","translated_internal_url":"","created_at":"2016-01-22T03:18:20.377-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":41901989,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":13359321,"work_id":20511703,"tagging_user_id":41901989,"tagged_user_id":null,"co_author_invite_id":1970691,"email":"r***n@cchmc.org","display_order":0,"name":"Robert Kahn","title":"A Road Map to Address the Social Determinants of Health Through Community Collaboration"},{"id":13359336,"work_id":20511703,"tagging_user_id":41901989,"tagged_user_id":42302972,"co_author_invite_id":3098957,"email":"m***n@cchmc.org","display_order":4194304,"name":"Melissa Klein","title":"A Road Map to Address the Social Determinants of Health Through Community Collaboration"},{"id":13359359,"work_id":20511703,"tagging_user_id":41901989,"tagged_user_id":42616647,"co_author_invite_id":3127897,"email":"a***e@cchmc.org","display_order":6291456,"name":"Adrienne Henize","title":"A Road Map to Address the Social Determinants of Health Through Community Collaboration"}],"downloadable_attachments":[],"slug":"A_Road_Map_to_Address_the_Social_Determinants_of_Health_Through_Community_Collaboration","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":41901989,"first_name":"Andrew","middle_initials":"F","last_name":"Beck","page_name":"AndrewBeck","domain_name":"cchmc","created_at":"2016-01-22T03:17:27.931-08:00","display_name":"Andrew F Beck","url":"https://cchmc.academia.edu/AndrewBeck"},"attachments":[],"research_interests":[{"id":631,"name":"Pediatrics","url":"https://www.academia.edu/Documents/in/Pediatrics"},{"id":2974,"name":"Primary Health Care","url":"https://www.academia.edu/Documents/in/Primary_Health_Care"},{"id":7272,"name":"Social Determinants of Health","url":"https://www.academia.edu/Documents/in/Social_Determinants_of_Health"},{"id":64933,"name":"Child","url":"https://www.academia.edu/Documents/in/Child"},{"id":65981,"name":"Needs Assessment","url":"https://www.academia.edu/Documents/in/Needs_Assessment"},{"id":98134,"name":"United States","url":"https://www.academia.edu/Documents/in/United_States"},{"id":496530,"name":"Community Networks","url":"https://www.academia.edu/Documents/in/Community_Networks"},{"id":1153482,"name":"Cooperative Behavior","url":"https://www.academia.edu/Documents/in/Cooperative_Behavior"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="20511697"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/20511697/Childhood_Asthma_Control_and_Community_Pharmacies_Moving_to_Population_Health"><img alt="Research paper thumbnail of Childhood Asthma Control and Community Pharmacies: Moving to Population Health" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/20511697/Childhood_Asthma_Control_and_Community_Pharmacies_Moving_to_Population_Health">Childhood Asthma Control and Community Pharmacies: Moving to Population Health</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Background Childhood asthma morbidity varies tremendously across regions. Pharmacies are well-pos...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Background Childhood asthma morbidity varies tremendously across regions. Pharmacies are well-positioned for an increased role in population health management. We hypothesized that the asthma medication ratio (AMR), a nationally-recognized patient-level quality metric, could be calculated at the pharmacy-level (Ph-AMR) and would be associated with community morbidity. Methods We examined asthma medication fills for children (0-18 years) between 1/31/2010-1/30/2012 at 29 retail pharmacies in a single chain within Greater Cincinnati. Medications were categorized “controller” (inhaled corticosteroids, leukotriene receptor antagonists) or “rescue” (inhaled beta-agonists). Ph-AMR was calculated by dividing controller by controller+rescue fills, similar to the patient-level AMR where ratios &lt;0.5 are associated with increased morbidity. Community asthma morbidity was defined as utilization (emergency department visitation or hospitalization) rates in the census tracts where the pharmaci...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="20511697"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="20511697"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 20511697; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=20511697]").text(description); $(".js-view-count[data-work-id=20511697]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 20511697; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='20511697']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 20511697, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=20511697]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":20511697,"title":"Childhood Asthma Control and Community Pharmacies: Moving to Population Health","translated_title":"","metadata":{"abstract":"Background Childhood asthma morbidity varies tremendously across regions. Pharmacies are well-positioned for an increased role in population health management. We hypothesized that the asthma medication ratio (AMR), a nationally-recognized patient-level quality metric, could be calculated at the pharmacy-level (Ph-AMR) and would be associated with community morbidity. Methods We examined asthma medication fills for children (0-18 years) between 1/31/2010-1/30/2012 at 29 retail pharmacies in a single chain within Greater Cincinnati. Medications were categorized “controller” (inhaled corticosteroids, leukotriene receptor antagonists) or “rescue” (inhaled beta-agonists). Ph-AMR was calculated by dividing controller by controller+rescue fills, similar to the patient-level AMR where ratios \u0026lt;0.5 are associated with increased morbidity. Community asthma morbidity was defined as utilization (emergency department visitation or hospitalization) rates in the census tracts where the pharmaci..."},"translated_abstract":"Background Childhood asthma morbidity varies tremendously across regions. Pharmacies are well-positioned for an increased role in population health management. We hypothesized that the asthma medication ratio (AMR), a nationally-recognized patient-level quality metric, could be calculated at the pharmacy-level (Ph-AMR) and would be associated with community morbidity. Methods We examined asthma medication fills for children (0-18 years) between 1/31/2010-1/30/2012 at 29 retail pharmacies in a single chain within Greater Cincinnati. Medications were categorized “controller” (inhaled corticosteroids, leukotriene receptor antagonists) or “rescue” (inhaled beta-agonists). Ph-AMR was calculated by dividing controller by controller+rescue fills, similar to the patient-level AMR where ratios \u0026lt;0.5 are associated with increased morbidity. Community asthma morbidity was defined as utilization (emergency department visitation or hospitalization) rates in the census tracts where the pharmaci...","internal_url":"https://www.academia.edu/20511697/Childhood_Asthma_Control_and_Community_Pharmacies_Moving_to_Population_Health","translated_internal_url":"","created_at":"2016-01-22T03:18:18.560-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":41901989,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":13359322,"work_id":20511697,"tagging_user_id":41901989,"tagged_user_id":null,"co_author_invite_id":1970691,"email":"r***n@cchmc.org","display_order":0,"name":"Robert Kahn","title":"Childhood Asthma Control and Community Pharmacies: Moving to Population Health"}],"downloadable_attachments":[],"slug":"Childhood_Asthma_Control_and_Community_Pharmacies_Moving_to_Population_Health","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":41901989,"first_name":"Andrew","middle_initials":"F","last_name":"Beck","page_name":"AndrewBeck","domain_name":"cchmc","created_at":"2016-01-22T03:17:27.931-08:00","display_name":"Andrew F Beck","url":"https://cchmc.academia.edu/AndrewBeck"},"attachments":[],"research_interests":[],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="20511695"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/20511695/Echocardiographic_Screening_for_Pulmonary_Hypertension_in_Preterm_Infants_with_Bronchopulmonary_Dysplasia_Is_There_a_Clinical_Phenotype_Predictive_of_Pulmonary_Hypertension"><img alt="Research paper thumbnail of Echocardiographic Screening for Pulmonary Hypertension in Preterm Infants with Bronchopulmonary Dysplasia: Is There a Clinical Phenotype Predictive of Pulmonary Hypertension?" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/20511695/Echocardiographic_Screening_for_Pulmonary_Hypertension_in_Preterm_Infants_with_Bronchopulmonary_Dysplasia_Is_There_a_Clinical_Phenotype_Predictive_of_Pulmonary_Hypertension">Echocardiographic Screening for Pulmonary Hypertension in Preterm Infants with Bronchopulmonary Dysplasia: Is There a Clinical Phenotype Predictive of Pulmonary Hypertension?</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://cchmc.academia.edu/AndrewBeck">Andrew F Beck</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/PrattJesse">Jesse Pratt</a></span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="20511695"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="20511695"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 20511695; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="20511689"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/20511689/The_pharmacy_level_asthma_medication_ratio_and_population_health"><img alt="Research paper thumbnail of The pharmacy-level asthma medication ratio and population health" class="work-thumbnail" src="https://attachments.academia-assets.com/41412131/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/20511689/The_pharmacy_level_asthma_medication_ratio_and_population_health">The pharmacy-level asthma medication ratio and population health</a></div><div class="wp-workCard_item"><span>Pediatrics</span><span>, 2015</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Community pharmacies may be positioned for an increased role in population health. We sought to d...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Community pharmacies may be positioned for an increased role in population health. We sought to develop a population-level measure of asthma medication fills and assess its relationship to asthma-related utilization. We conducted a retrospective, ecological study (2010-2012). Medication data from a chain of pharmacies (n = 27) within 1 county were used to calculate a Pharmacy-level Asthma Medication Ratio (Ph-AMR), defined as controller fills divided by controller plus rescue fills. Higher values are superior because they indicate more controller compared with rescue fills. The outcome was the asthma-related utilization rate among children in the same census tract as the pharmacy, calculated by dividing all emergency visits and hospitalizations by the number of children in that tract. Covariates, including ecological measures of poverty and access to care, were used in multivariable linear regression. Overall, 35 467 medications were filled. The median Ph-AMR was 0.53 (range 0.38-0....</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="415c89434e1d5deea649b498598e220c" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":41412131,"asset_id":20511689,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/41412131/download_file?st=MTczMjgxMzkxMSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="20511689"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="20511689"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 20511689; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=20511689]").text(description); $(".js-view-count[data-work-id=20511689]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 20511689; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='20511689']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 20511689, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "415c89434e1d5deea649b498598e220c" } } $('.js-work-strip[data-work-id=20511689]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":20511689,"title":"The pharmacy-level asthma medication ratio and population health","translated_title":"","metadata":{"abstract":"Community pharmacies may be positioned for an increased role in population health. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="20511688"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/20511688/Localizing_molecular_probes_Inclusion_of_Re_I_complexes_in_%CE%B2_cyclodextrin"><img alt="Research paper thumbnail of Localizing molecular probes: Inclusion of Re(I) complexes in β-cyclodextrin" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/20511688/Localizing_molecular_probes_Inclusion_of_Re_I_complexes_in_%CE%B2_cyclodextrin">Localizing molecular probes: Inclusion of Re(I) complexes in β-cyclodextrin</a></div><div class="wp-workCard_item"><span>Coordination Chemistry Reviews</span><span>, 2007</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The inclusion of a series of luminescent Re(I) complexes in α- and β-cyclodextrin in water is des...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The inclusion of a series of luminescent Re(I) complexes in α- and β-cyclodextrin in water is described. The complex&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;#x27;s general structure is [L2Re(CO)3(4-R-pyridine)][ClO4] where L2 represents the α-diimine ligands 2,2′-bipyridine or 1,10 phenanthroline. The R groups were selected to span a range of hydrophobicity from –H to –(CH2)12CH3. These R&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;#x27;s showed a variety of binding constants of the complexes to</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="20511688"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="20511688"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 20511688; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=20511688]").text(description); $(".js-view-count[data-work-id=20511688]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 20511688; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='20511688']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 20511688, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=20511688]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":20511688,"title":"Localizing molecular probes: Inclusion of Re(I) complexes in β-cyclodextrin","translated_title":"","metadata":{"abstract":"The inclusion of a series of luminescent Re(I) complexes in α- and β-cyclodextrin in water is described. 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The...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Poverty is a risk factor for both language delay and failure to access appropriate therapies. The objective of this study was to increase the percentage of children 0 to 3 years old referred from an urban primary care center who attended an initial appointment with speech pathology or audiology within 60 days from 40% to 60%. The Model for Improvement was used to develop and test the intervention, which addressed potential logistical barriers faced by low-income families. Adherence was plotted on run charts in time series to assess overall improvement, and subgroups were analyzed to identify reduction in disparities. Median referral adherence improved from 40% to 60%. Families from lower income neighborhoods had lower preintervention adherence; these differences were eliminated postintervention. System-level changes improved access to evaluation and treatment for low-income children with language delay and narrowed the gap in access between families in lower versus higher income nei...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="8d0e5b7c12b327095cbb51d9ea07af07" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":41412128,"asset_id":20511687,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/41412128/download_file?st=MTczMjgxMzkxMSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="20511687"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="20511687"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 20511687; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=20511687]").text(description); $(".js-view-count[data-work-id=20511687]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 20511687; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='20511687']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 20511687, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "8d0e5b7c12b327095cbb51d9ea07af07" } } $('.js-work-strip[data-work-id=20511687]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":20511687,"title":"Narrowing Care Gaps for Early Language Delay: A Quality Improvement Study","translated_title":"","metadata":{"abstract":"Poverty is a risk factor for both language delay and failure to access appropriate therapies. 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data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/20511683/Abstract_3269_QTLs_in_breast_tumor_and_breast_normal_adjacent_FFPE_specimens_from_the_Nurses_Health_Study"><img alt="Research paper thumbnail of Abstract 3269: QTLs in breast tumor and breast normal adjacent FFPE specimens from the Nurses’ Health Study" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/20511683/Abstract_3269_QTLs_in_breast_tumor_and_breast_normal_adjacent_FFPE_specimens_from_the_Nurses_Health_Study">Abstract 3269: QTLs in breast tumor and breast normal adjacent FFPE specimens from the Nurses’ Health Study</a></div><div class="wp-workCard_item"><span>Cancer Research</span><span>, 2014</span></div><div 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})(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=20511683]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":20511683,"title":"Abstract 3269: QTLs in breast tumor and breast normal adjacent FFPE specimens from the Nurses’ Health Study","translated_title":"","metadata":{"publication_date":{"day":null,"month":null,"year":2014,"errors":{}},"publication_name":"Cancer 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3269: QTLs in breast tumor and breast normal adjacent FFPE specimens from the Nurses’ Health Study"},{"id":13359452,"work_id":20511683,"tagging_user_id":41901989,"tagged_user_id":null,"co_author_invite_id":3127930,"email":"a***a@channing.harvard.edu","display_order":6291456,"name":"Aditi Hazra","title":"Abstract 3269: QTLs in breast tumor and breast normal adjacent FFPE specimens from the Nurses’ Health Study"}],"downloadable_attachments":[],"slug":"Abstract_3269_QTLs_in_breast_tumor_and_breast_normal_adjacent_FFPE_specimens_from_the_Nurses_Health_Study","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":41901989,"first_name":"Andrew","middle_initials":"F","last_name":"Beck","page_name":"AndrewBeck","domain_name":"cchmc","created_at":"2016-01-22T03:17:27.931-08:00","display_name":"Andrew F Beck","url":"https://cchmc.academia.edu/AndrewBeck"},"attachments":[],"research_interests":[{"id":6021,"name":"Cancer","url":"https://www.academia.edu/Documents/in/Cancer"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="20511681"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/20511681/Clinically_relevant_molecular_subtypes_in_leiomyosarcoma"><img alt="Research paper thumbnail of Clinically relevant molecular subtypes in leiomyosarcoma" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/20511681/Clinically_relevant_molecular_subtypes_in_leiomyosarcoma">Clinically relevant molecular subtypes in leiomyosarcoma</a></div><div class="wp-workCard_item"><span>Clinical cancer research : an official journal of the American Association for Cancer Research</span><span>, Jan 20, 2015</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Leiomyosarcoma (LMS) is a malignant neoplasm with smooth muscle differentiation. Little is known ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Leiomyosarcoma (LMS) is a malignant neoplasm with smooth muscle differentiation. Little is known about its molecular heterogeneity and no targeted therapy currently exists for LMS. Recognition of different molecular subtypes is necessary to evaluate novel therapeutic options. In a previous study on 51 LMS, we identified three molecular subtypes in LMS. The current study was performed to determine whether the existence of these subtypes could be confirmed in independent cohorts. 99 cases of LMS were expression profiled with 3&#39;end RNA-Sequencing (3SEQ). Consensus Clustering was conducted to determine the optimal number of subtypes. We identified 3 LMS molecular subtypes and confirmed this finding by analyzing publically available data on 82 LMS from The Cancer Genome Atlas (TCGA). We identified two new FFPE tissue-compatible diagnostic immunohistochemical markers; LMOD1 for subtype I LMS and ARL4C for subtype II LMS. An LMS tissue microarray with known clinical outcome was used to...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="20511681"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="20511681"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 20511681; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=20511681]").text(description); $(".js-view-count[data-work-id=20511681]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 20511681; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='20511681']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 20511681, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=20511681]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":20511681,"title":"Clinically relevant molecular subtypes in leiomyosarcoma","translated_title":"","metadata":{"abstract":"Leiomyosarcoma (LMS) is a malignant neoplasm with smooth muscle differentiation. Little is known about its molecular heterogeneity and no targeted therapy currently exists for LMS. Recognition of different molecular subtypes is necessary to evaluate novel therapeutic options. In a previous study on 51 LMS, we identified three molecular subtypes in LMS. The current study was performed to determine whether the existence of these subtypes could be confirmed in independent cohorts. 99 cases of LMS were expression profiled with 3\u0026#39;end RNA-Sequencing (3SEQ). Consensus Clustering was conducted to determine the optimal number of subtypes. We identified 3 LMS molecular subtypes and confirmed this finding by analyzing publically available data on 82 LMS from The Cancer Genome Atlas (TCGA). We identified two new FFPE tissue-compatible diagnostic immunohistochemical markers; LMOD1 for subtype I LMS and ARL4C for subtype II LMS. An LMS tissue microarray with known clinical outcome was used to...","publication_date":{"day":20,"month":1,"year":2015,"errors":{}},"publication_name":"Clinical cancer research : an official journal of the American Association for Cancer Research"},"translated_abstract":"Leiomyosarcoma (LMS) is a malignant neoplasm with smooth muscle differentiation. Little is known about its molecular heterogeneity and no targeted therapy currently exists for LMS. Recognition of different molecular subtypes is necessary to evaluate novel therapeutic options. In a previous study on 51 LMS, we identified three molecular subtypes in LMS. The current study was performed to determine whether the existence of these subtypes could be confirmed in independent cohorts. 99 cases of LMS were expression profiled with 3\u0026#39;end RNA-Sequencing (3SEQ). Consensus Clustering was conducted to determine the optimal number of subtypes. We identified 3 LMS molecular subtypes and confirmed this finding by analyzing publically available data on 82 LMS from The Cancer Genome Atlas (TCGA). We identified two new FFPE tissue-compatible diagnostic immunohistochemical markers; LMOD1 for subtype I LMS and ARL4C for subtype II LMS. An LMS tissue microarray with known clinical outcome was used to...","internal_url":"https://www.academia.edu/20511681/Clinically_relevant_molecular_subtypes_in_leiomyosarcoma","translated_internal_url":"","created_at":"2016-01-22T03:18:15.546-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":41901989,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":13359485,"work_id":20511681,"tagging_user_id":41901989,"tagged_user_id":41978088,"co_author_invite_id":2357078,"email":"a***1@gmail.com","display_order":0,"name":"Anne Mills","title":"Clinically relevant molecular subtypes in leiomyosarcoma"},{"id":13359492,"work_id":20511681,"tagging_user_id":41901989,"tagged_user_id":null,"co_author_invite_id":3127937,"email":"m***i@mondo.com","display_order":4194304,"name":"Marisa Nucci","title":"Clinically relevant molecular subtypes in leiomyosarcoma"},{"id":13359494,"work_id":20511681,"tagging_user_id":41901989,"tagged_user_id":null,"co_author_invite_id":3127938,"email":"s***a@udel.edu","display_order":6291456,"name":"Sharon Anderson","title":"Clinically relevant molecular subtypes in leiomyosarcoma"},{"id":13359498,"work_id":20511681,"tagging_user_id":41901989,"tagged_user_id":null,"co_author_invite_id":1687672,"email":"k***o@va.gov","display_order":7340032,"name":"Kristen Ganjoo","title":"Clinically relevant molecular subtypes in leiomyosarcoma"},{"id":13359500,"work_id":20511681,"tagging_user_id":41901989,"tagged_user_id":null,"co_author_invite_id":2648393,"email":"c***r@ualberta.ca","display_order":7864320,"name":"Christopher Fletcher","title":"Clinically relevant molecular subtypes in leiomyosarcoma"},{"id":13359509,"work_id":20511681,"tagging_user_id":41901989,"tagged_user_id":null,"co_author_invite_id":1615790,"email":"c***n@wur.nl","display_order":8126464,"name":"Matt van de Rijn","title":"Clinically relevant molecular subtypes in leiomyosarcoma"}],"downloadable_attachments":[],"slug":"Clinically_relevant_molecular_subtypes_in_leiomyosarcoma","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":41901989,"first_name":"Andrew","middle_initials":"F","last_name":"Beck","page_name":"AndrewBeck","domain_name":"cchmc","created_at":"2016-01-22T03:17:27.931-08:00","display_name":"Andrew F Beck","url":"https://cchmc.academia.edu/AndrewBeck"},"attachments":[],"research_interests":[],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="20511680"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/20511680/Adult_body_size_and_physical_activity_in_relation_to_risk_of_breast_cancer_according_to_tumor_androgen_receptor_status"><img alt="Research paper thumbnail of Adult body size and physical activity in relation to risk of breast cancer according to tumor androgen receptor status" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/20511680/Adult_body_size_and_physical_activity_in_relation_to_risk_of_breast_cancer_according_to_tumor_androgen_receptor_status">Adult body size and physical activity in relation to risk of breast cancer according to tumor androgen receptor status</a></div><div class="wp-workCard_item"><span>Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology</span><span>, Jan 8, 2015</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Obesity and physical activity have been hypothesized to affect breast cancer risk partly via the ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Obesity and physical activity have been hypothesized to affect breast cancer risk partly via the androgen signaling pathway. We conducted the first study to evaluate these associations by tumor androgen receptor (AR) status. Height, weight, and physical activity were assessed using questionnaires in the Nurses&#39; Health Study. AR, estrogen receptor (ER) and progesterone receptor (PR) status were determined using immunohistochemistry on tumor tissue and medical/pathology reports. 1,701 AR+ and 497 AR- cases were documented during 26 years of follow-up of 103,577 women. After adjusting for ER/PR status and other risk factors, the relative risks (RRs) and 95% confidence intervals (95%CIs) for every 5 kg/m2 increase in body mass index (BMI) were 1.07(1.01-1.13) for AR+ and 1.16(1.05-1.29) for AR- tumors (p-heterogeneity=0.17). The RRs(95%CIs) per 5 hours of brisk walking/week were 0.87(0.73-1.04) for AR+ and 0.67(0.45-0.99) for AR- tumors (p-heterogeneity=0.22). Further, BMI, but not ...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="20511680"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="20511680"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 20511680; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=20511680]").text(description); $(".js-view-count[data-work-id=20511680]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 20511680; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='20511680']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 20511680, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=20511680]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":20511680,"title":"Adult body size and physical activity in relation to risk of breast cancer according to tumor androgen receptor status","translated_title":"","metadata":{"abstract":"Obesity and physical activity have been hypothesized to affect breast cancer risk partly via the androgen signaling pathway. We conducted the first study to evaluate these associations by tumor androgen receptor (AR) status. Height, weight, and physical activity were assessed using questionnaires in the Nurses\u0026#39; Health Study. AR, estrogen receptor (ER) and progesterone receptor (PR) status were determined using immunohistochemistry on tumor tissue and medical/pathology reports. 1,701 AR+ and 497 AR- cases were documented during 26 years of follow-up of 103,577 women. After adjusting for ER/PR status and other risk factors, the relative risks (RRs) and 95% confidence intervals (95%CIs) for every 5 kg/m2 increase in body mass index (BMI) were 1.07(1.01-1.13) for AR+ and 1.16(1.05-1.29) for AR- tumors (p-heterogeneity=0.17). The RRs(95%CIs) per 5 hours of brisk walking/week were 0.87(0.73-1.04) for AR+ and 0.67(0.45-0.99) for AR- tumors (p-heterogeneity=0.22). Further, BMI, but not ...","publication_date":{"day":8,"month":1,"year":2015,"errors":{}},"publication_name":"Cancer epidemiology, biomarkers \u0026 prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology"},"translated_abstract":"Obesity and physical activity have been hypothesized to affect breast cancer risk partly via the androgen signaling pathway. We conducted the first study to evaluate these associations by tumor androgen receptor (AR) status. Height, weight, and physical activity were assessed using questionnaires in the Nurses\u0026#39; Health Study. AR, estrogen receptor (ER) and progesterone receptor (PR) status were determined using immunohistochemistry on tumor tissue and medical/pathology reports. 1,701 AR+ and 497 AR- cases were documented during 26 years of follow-up of 103,577 women. After adjusting for ER/PR status and other risk factors, the relative risks (RRs) and 95% confidence intervals (95%CIs) for every 5 kg/m2 increase in body mass index (BMI) were 1.07(1.01-1.13) for AR+ and 1.16(1.05-1.29) for AR- tumors (p-heterogeneity=0.17). The RRs(95%CIs) per 5 hours of brisk walking/week were 0.87(0.73-1.04) for AR+ and 0.67(0.45-0.99) for AR- tumors (p-heterogeneity=0.22). Further, BMI, but not ...","internal_url":"https://www.academia.edu/20511680/Adult_body_size_and_physical_activity_in_relation_to_risk_of_breast_cancer_according_to_tumor_androgen_receptor_status","translated_internal_url":"","created_at":"2016-01-22T03:18:15.251-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":41901989,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":13359413,"work_id":20511680,"tagging_user_id":41901989,"tagged_user_id":null,"co_author_invite_id":311143,"email":"s***n@schoolph.umass.edu","display_order":0,"name":"Susan Hankinson","title":"Adult body size and physical activity in relation to risk of breast cancer according to tumor androgen receptor status"},{"id":13359423,"work_id":20511680,"tagging_user_id":41901989,"tagged_user_id":33735382,"co_author_invite_id":3127923,"email":"n***t@channing.harvard.edu","affiliation":"Harvard Medical School","display_order":4194304,"name":"Rulla Tamimi","title":"Adult body size and physical activity in relation to risk of breast cancer according to tumor androgen receptor status"},{"id":13359431,"work_id":20511680,"tagging_user_id":41901989,"tagged_user_id":null,"co_author_invite_id":3127924,"email":"h***e@hsph.harvard.edu","display_order":6291456,"name":"Heather Eliassen","title":"Adult body size and physical activity in relation to risk of breast cancer according to tumor androgen receptor status"},{"id":13359449,"work_id":20511680,"tagging_user_id":41901989,"tagged_user_id":null,"co_author_invite_id":3127930,"email":"a***a@channing.harvard.edu","display_order":7340032,"name":"Aditi Hazra","title":"Adult body size and physical activity in relation to risk of breast cancer according to tumor androgen receptor status"},{"id":13359458,"work_id":20511680,"tagging_user_id":41901989,"tagged_user_id":null,"co_author_invite_id":251008,"email":"b***2@mail.nih.gov","display_order":7864320,"name":"Myles Brown","title":"Adult body size and physical activity in relation to risk of breast cancer according to tumor androgen receptor status"}],"downloadable_attachments":[],"slug":"Adult_body_size_and_physical_activity_in_relation_to_risk_of_breast_cancer_according_to_tumor_androgen_receptor_status","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":41901989,"first_name":"Andrew","middle_initials":"F","last_name":"Beck","page_name":"AndrewBeck","domain_name":"cchmc","created_at":"2016-01-22T03:17:27.931-08:00","display_name":"Andrew F Beck","url":"https://cchmc.academia.edu/AndrewBeck"},"attachments":[],"research_interests":[],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="20511678"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/20511678/_title_Real_time_diagnosis_of_bladder_cancer_with_probe_based_confocal_laser_endomicroscopy_title_"><img alt="Research paper thumbnail of <title>Real time diagnosis of bladder cancer with probe-based confocal laser endomicroscopy</title>" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/20511678/_title_Real_time_diagnosis_of_bladder_cancer_with_probe_based_confocal_laser_endomicroscopy_title_"><title>Real time diagnosis of bladder cancer with probe-based confocal laser endomicroscopy</title></a></div><div class="wp-workCard_item"><span>Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues IX</span><span>, 2011</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Probe-based confocal laser endomicroscopy (pCLE) is an emerging technology for in vivo optical im...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Probe-based confocal laser endomicroscopy (pCLE) is an emerging technology for in vivo optical imaging of the urinary tract. Particularly for bladder cancer, real time optical biopsy of suspected lesions will likely lead to improved management of bladder cancer. With pCLE, micron scale resolution is achieved with sterilizable imaging probes (1.4 or 2.6 mm diameter), which are compatible with standard cystoscopes</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="20511678"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="20511678"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 20511678; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=20511678]").text(description); $(".js-view-count[data-work-id=20511678]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 20511678; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='20511678']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 20511678, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=20511678]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":20511678,"title":"\u003ctitle\u003eReal time diagnosis of bladder cancer with probe-based confocal laser endomicroscopy\u003c/title\u003e","translated_title":"","metadata":{"abstract":"Probe-based confocal laser endomicroscopy (pCLE) is an emerging technology for in vivo optical imaging of the urinary tract. Particularly for bladder cancer, real time optical biopsy of suspected lesions will likely lead to improved management of bladder cancer. With pCLE, micron scale resolution is achieved with sterilizable imaging probes (1.4 or 2.6 mm diameter), which are compatible with standard cystoscopes","publication_date":{"day":null,"month":null,"year":2011,"errors":{}},"publication_name":"Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues IX"},"translated_abstract":"Probe-based confocal laser endomicroscopy (pCLE) is an emerging technology for in vivo optical imaging of the urinary tract. Particularly for bladder cancer, real time optical biopsy of suspected lesions will likely lead to improved management of bladder cancer. With pCLE, micron scale resolution is achieved with sterilizable imaging probes (1.4 or 2.6 mm diameter), which are compatible with standard cystoscopes","internal_url":"https://www.academia.edu/20511678/_title_Real_time_diagnosis_of_bladder_cancer_with_probe_based_confocal_laser_endomicroscopy_title_","translated_internal_url":"","created_at":"2016-01-22T03:18:14.972-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":41901989,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":13359472,"work_id":20511678,"tagging_user_id":41901989,"tagged_user_id":64422821,"co_author_invite_id":3127932,"email":"k***l@yahoo.com","display_order":0,"name":"Kristin Jensen","title":"\u003ctitle\u003eReal time diagnosis of bladder cancer with probe-based confocal laser endomicroscopy\u003c/title\u003e"}],"downloadable_attachments":[],"slug":"_title_Real_time_diagnosis_of_bladder_cancer_with_probe_based_confocal_laser_endomicroscopy_title_","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":41901989,"first_name":"Andrew","middle_initials":"F","last_name":"Beck","page_name":"AndrewBeck","domain_name":"cchmc","created_at":"2016-01-22T03:17:27.931-08:00","display_name":"Andrew F Beck","url":"https://cchmc.academia.edu/AndrewBeck"},"attachments":[],"research_interests":[{"id":1185,"name":"Image Processing","url":"https://www.academia.edu/Documents/in/Image_Processing"},{"id":33302,"name":"Optical Imaging","url":"https://www.academia.edu/Documents/in/Optical_Imaging"},{"id":58274,"name":"Bladder Cancer","url":"https://www.academia.edu/Documents/in/Bladder_Cancer"},{"id":229390,"name":"Real Time","url":"https://www.academia.edu/Documents/in/Real_Time"},{"id":363553,"name":"Urinary Tract","url":"https://www.academia.edu/Documents/in/Urinary_Tract"},{"id":406886,"name":"Emerging Technology","url":"https://www.academia.edu/Documents/in/Emerging_Technology"},{"id":534293,"name":"White Light","url":"https://www.academia.edu/Documents/in/White_Light"},{"id":675221,"name":"Diagnostic Accuracy","url":"https://www.academia.edu/Documents/in/Diagnostic_Accuracy"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="20511677"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/20511677/NFAT1_promotes_intratumoral_neutrophil_infiltration_by_regulating_IL8_expression_in_breast_cancer"><img alt="Research paper thumbnail of NFAT1 promotes intratumoral neutrophil infiltration by regulating IL8 expression in breast cancer" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/20511677/NFAT1_promotes_intratumoral_neutrophil_infiltration_by_regulating_IL8_expression_in_breast_cancer">NFAT1 promotes intratumoral neutrophil infiltration by regulating IL8 expression in breast cancer</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://cchmc.academia.edu/AndrewBeck">Andrew F Beck</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/LuoBo1">Luo Bo</a></span></div><div class="wp-workCard_item"><span>Molecular oncology</span><span>, Jan 19, 2015</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">NFAT transcription factors are key regulators of gene expression in immune cells. In addition, NF...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">NFAT transcription factors are key regulators of gene expression in immune cells. In addition, NFAT1-induced genes play diverse roles in mediating the progression of various solid tumors. Here we show that NFAT1 induces the expression of the IL8 gene by binding to its promoter and leading to IL8 secretion. Thapsigargin stimulation of breast cancer cells induces IL8 expression in an NFAT-dependent manner. Moreover, we show that NFAT1-mediated IL8 production promotes the migration of primary human neutrophils in vitro and also promotes neutrophil infiltration in tumor xenografts. Furthermore, expression of active NFAT1 effectively suppresses the growth of nascent and established tumors by a non cell-autonomous mechanism. Evaluation of breast tumor tissue reveals that while the levels of NFAT1 are similar in tumor cells and normal breast epithelium, cells in the tumor stroma express higher levels of NFAT1 compared to normal stroma. Elevated levels of NFAT1 also correlate with increased...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="20511677"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="20511677"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 20511677; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=20511677]").text(description); $(".js-view-count[data-work-id=20511677]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 20511677; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='20511677']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 20511677, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=20511677]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":20511677,"title":"NFAT1 promotes intratumoral neutrophil infiltration by regulating IL8 expression in breast cancer","translated_title":"","metadata":{"abstract":"NFAT transcription factors are key regulators of gene expression in immune cells. In addition, NFAT1-induced genes play diverse roles in mediating the progression of various solid tumors. Here we show that NFAT1 induces the expression of the IL8 gene by binding to its promoter and leading to IL8 secretion. Thapsigargin stimulation of breast cancer cells induces IL8 expression in an NFAT-dependent manner. Moreover, we show that NFAT1-mediated IL8 production promotes the migration of primary human neutrophils in vitro and also promotes neutrophil infiltration in tumor xenografts. Furthermore, expression of active NFAT1 effectively suppresses the growth of nascent and established tumors by a non cell-autonomous mechanism. Evaluation of breast tumor tissue reveals that while the levels of NFAT1 are similar in tumor cells and normal breast epithelium, cells in the tumor stroma express higher levels of NFAT1 compared to normal stroma. Elevated levels of NFAT1 also correlate with increased...","publication_date":{"day":19,"month":1,"year":2015,"errors":{}},"publication_name":"Molecular oncology"},"translated_abstract":"NFAT transcription factors are key regulators of gene expression in immune cells. In addition, NFAT1-induced genes play diverse roles in mediating the progression of various solid tumors. Here we show that NFAT1 induces the expression of the IL8 gene by binding to its promoter and leading to IL8 secretion. Thapsigargin stimulation of breast cancer cells induces IL8 expression in an NFAT-dependent manner. Moreover, we show that NFAT1-mediated IL8 production promotes the migration of primary human neutrophils in vitro and also promotes neutrophil infiltration in tumor xenografts. Furthermore, expression of active NFAT1 effectively suppresses the growth of nascent and established tumors by a non cell-autonomous mechanism. Evaluation of breast tumor tissue reveals that while the levels of NFAT1 are similar in tumor cells and normal breast epithelium, cells in the tumor stroma express higher levels of NFAT1 compared to normal stroma. Elevated levels of NFAT1 also correlate with increased...","internal_url":"https://www.academia.edu/20511677/NFAT1_promotes_intratumoral_neutrophil_infiltration_by_regulating_IL8_expression_in_breast_cancer","translated_internal_url":"","created_at":"2016-01-22T03:18:14.600-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":41901989,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":13359478,"work_id":20511677,"tagging_user_id":41901989,"tagged_user_id":42065170,"co_author_invite_id":1806201,"email":"l***i@gmail.com","display_order":0,"name":"L. Montaser-kouhsari","title":"NFAT1 promotes intratumoral neutrophil infiltration by regulating IL8 expression in breast cancer"},{"id":13359530,"work_id":20511677,"tagging_user_id":41901989,"tagged_user_id":null,"co_author_invite_id":3127941,"email":"l***2@yahoo.com","display_order":4194304,"name":"Li Zhao","title":"NFAT1 promotes intratumoral neutrophil infiltration by regulating IL8 expression in breast cancer"},{"id":13359531,"work_id":20511677,"tagging_user_id":41901989,"tagged_user_id":41974708,"co_author_invite_id":3062695,"email":"h***o@childrens.harvard.edu","display_order":6291456,"name":"Luo Bo","title":"NFAT1 promotes intratumoral neutrophil infiltration by regulating IL8 expression in breast cancer"},{"id":13359533,"work_id":20511677,"tagging_user_id":41901989,"tagged_user_id":null,"co_author_invite_id":1470513,"email":"a***r@bidmc.harvard.edu","display_order":7340032,"name":"Alex Toker","title":"NFAT1 promotes intratumoral neutrophil infiltration by regulating IL8 expression in breast cancer"}],"downloadable_attachments":[],"slug":"NFAT1_promotes_intratumoral_neutrophil_infiltration_by_regulating_IL8_expression_in_breast_cancer","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":41901989,"first_name":"Andrew","middle_initials":"F","last_name":"Beck","page_name":"AndrewBeck","domain_name":"cchmc","created_at":"2016-01-22T03:17:27.931-08:00","display_name":"Andrew F Beck","url":"https://cchmc.academia.edu/AndrewBeck"},"attachments":[],"research_interests":[{"id":64508,"name":"Molecular Oncology","url":"https://www.academia.edu/Documents/in/Molecular_Oncology"},{"id":1924712,"name":"Interleukin","url":"https://www.academia.edu/Documents/in/Interleukin"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="20511675"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/20511675/Dense_and_Non_dense_Mammographic_Area_and_Risk_of_Breast_Cancer_by_Age_and_Tumor_Characteristics"><img alt="Research paper thumbnail of Dense and Non-dense Mammographic Area and Risk of Breast Cancer by Age and Tumor Characteristics" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/20511675/Dense_and_Non_dense_Mammographic_Area_and_Risk_of_Breast_Cancer_by_Age_and_Tumor_Characteristics">Dense and Non-dense Mammographic Area and Risk of Breast Cancer by Age and Tumor Characteristics</a></div><div class="wp-workCard_item"><span>Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology</span><span>, Jan 25, 2015</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Background:Mammographic density (MD) is a strong breast cancer risk factor. We previously reporte...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Background:Mammographic density (MD) is a strong breast cancer risk factor. We previously reported associations of percent MD with larger and node-positive tumors across all ages, and estrogen receptor (ER)-negative status among women ages &lt;55 years. To provide insight into these associations, we examined the components of percent MD (dense area (DA) and non-dense area (NDA) with breast cancer subtypes. Methods:Data were pooled from six studies including 4095 breast cancers and 8558 controls. DA and NDA were assessed from digitized film-screen mammograms and standardized across studies. Breast cancer odds by density phenotypes and age according to histopathological characteristics and receptor status were calculated using polytomous logistic regression. Results:DA was associated with increased breast cancer risk [odds ratios (OR) for quartiles: 0.65, 1.00(Ref), 1.22, 1.55; p-trend &lt;0.001] and NDA was associated with decreased risk [ORs for quartiles: 1.39, 1.00(Ref), 0.88, 0.7...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="20511675"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="20511675"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 20511675; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=20511675]").text(description); $(".js-view-count[data-work-id=20511675]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 20511675; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='20511675']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 20511675, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=20511675]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":20511675,"title":"Dense and Non-dense Mammographic Area and Risk of Breast Cancer by Age and Tumor Characteristics","translated_title":"","metadata":{"abstract":"Background:Mammographic density (MD) is a strong breast cancer risk factor. We previously reported associations of percent MD with larger and node-positive tumors across all ages, and estrogen receptor (ER)-negative status among women ages \u0026lt;55 years. To provide insight into these associations, we examined the components of percent MD (dense area (DA) and non-dense area (NDA) with breast cancer subtypes. Methods:Data were pooled from six studies including 4095 breast cancers and 8558 controls. DA and NDA were assessed from digitized film-screen mammograms and standardized across studies. Breast cancer odds by density phenotypes and age according to histopathological characteristics and receptor status were calculated using polytomous logistic regression. Results:DA was associated with increased breast cancer risk [odds ratios (OR) for quartiles: 0.65, 1.00(Ref), 1.22, 1.55; p-trend \u0026lt;0.001] and NDA was associated with decreased risk [ORs for quartiles: 1.39, 1.00(Ref), 0.88, 0.7...","publication_date":{"day":25,"month":1,"year":2015,"errors":{}},"publication_name":"Cancer epidemiology, biomarkers \u0026 prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology"},"translated_abstract":"Background:Mammographic density (MD) is a strong breast cancer risk factor. We previously reported associations of percent MD with larger and node-positive tumors across all ages, and estrogen receptor (ER)-negative status among women ages \u0026lt;55 years. To provide insight into these associations, we examined the components of percent MD (dense area (DA) and non-dense area (NDA) with breast cancer subtypes. Methods:Data were pooled from six studies including 4095 breast cancers and 8558 controls. DA and NDA were assessed from digitized film-screen mammograms and standardized across studies. Breast cancer odds by density phenotypes and age according to histopathological characteristics and receptor status were calculated using polytomous logistic regression. Results:DA was associated with increased breast cancer risk [odds ratios (OR) for quartiles: 0.65, 1.00(Ref), 1.22, 1.55; p-trend \u0026lt;0.001] and NDA was associated with decreased risk [ORs for quartiles: 1.39, 1.00(Ref), 0.88, 0.7...","internal_url":"https://www.academia.edu/20511675/Dense_and_Non_dense_Mammographic_Area_and_Risk_of_Breast_Cancer_by_Age_and_Tumor_Characteristics","translated_internal_url":"","created_at":"2016-01-22T03:18:14.231-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":41901989,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":13359424,"work_id":20511675,"tagging_user_id":41901989,"tagged_user_id":33735382,"co_author_invite_id":3127923,"email":"n***t@channing.harvard.edu","affiliation":"Harvard Medical School","display_order":0,"name":"Rulla Tamimi","title":"Dense and Non-dense Mammographic Area and Risk of Breast Cancer by Age and Tumor 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<div class="js-work-strip profile--work_container" data-work-id="20511674"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/20511674/109_Prevalence_of_Cockroach_and_Mouse_Sensitization_Among_Children_Hospitalized_for_Wheezing_and_Asthma"><img alt="Research paper thumbnail of 109 Prevalence of Cockroach and Mouse Sensitization Among Children Hospitalized for Wheezing and Asthma" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/20511674/109_Prevalence_of_Cockroach_and_Mouse_Sensitization_Among_Children_Hospitalized_for_Wheezing_and_Asthma">109 Prevalence of Cockroach and Mouse Sensitization Among Children Hospitalized for Wheezing and Asthma</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://cchmc.academia.edu/AndrewBeck">Andrew F Beck</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/StrongHeather">Heather Strong</a></span></div><div class="wp-workCard_item"><span>World Allergy Organization Journal</span><span>, 2012</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">ABSTRACT</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="20511674"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa 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href="https://independent.academia.edu/HuynhThang2">Huynh Thang</a></span></div><div class="wp-workCard_item"><span>Nature</span><span>, 2012</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="decea67112e5da7b80391bde460d339a" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":41412129,"asset_id":20511672,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/41412129/download_file?st=MTczMjgxMzkxMiw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="20511672"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa 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class="js-work-more-abstract-truncated">Pseudomembranous colitis is most often associated with antibiotic use and caused most often by Cl...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Pseudomembranous colitis is most often associated with antibiotic use and caused most often by Clostridium difficile. 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P...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Leiomyosarcoma (LMS) is a malignant, soft-tissue tumor for which few effective therapies exist. Previously, we showed that there are three molecular subtypes of LMS. Here, we analyzed genes differentially expressed in each of the three LMS subtypes as compared to benign leiomyomas and then used the Connectivity Map (cmap) to calculate enrichment scores for the 1309 cmap drugs in order to identify candidate molecules with the potential to induce a benign, leiomyoma-like phenotype in LMS cells. 11 drugs were selected and tested for their ability to inhibit the growth of three human LMS cell lines. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="21518182"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/21518182/Video_Curriculum_on_Screening_for_the_Social_Determinants_of_Health"><img alt="Research paper thumbnail of Video Curriculum on Screening for the Social Determinants of Health" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/21518182/Video_Curriculum_on_Screening_for_the_Social_Determinants_of_Health">Video Curriculum on Screening for the Social Determinants of Health</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/AdrienneHenize">Adrienne Henize</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://cchmc.academia.edu/AndrewBeck">Andrew F Beck</a></span></div><div class="wp-workCard_item"><span>MedEdPORTAL Publications</span><span>, 2013</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="21518182"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="21518182"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 21518182; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="20511709"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/20511709/The_Family_Perspective_on_Hospital_to_Home_Transitions_A_Qualitative_Study"><img alt="Research paper thumbnail of The Family Perspective on Hospital to Home Transitions: A Qualitative Study" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/20511709/The_Family_Perspective_on_Hospital_to_Home_Transitions_A_Qualitative_Study">The Family Perspective on Hospital to Home Transitions: A Qualitative Study</a></div><div class="wp-workCard_item"><span>Pediatrics</span><span>, 2015</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Transitions from the hospital to home can be difficult for patients and families. Family-informed...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Transitions from the hospital to home can be difficult for patients and families. Family-informed characterization of this vulnerable period may facilitate the identification of interventions to improve transitions home. Our objective was to develop a comprehensive understanding of hospital-to-home transitions from the family perspective. Using qualitative methods, focus groups and individual interviews were held with caregivers of children discharged from the hospital in the preceding 30 days. Focus groups were stratified based upon socioeconomic status. The open-ended, semistructured question guide included questions about communication and understanding of care plans, transition home, and postdischarge events. Using inductive thematic analysis, investigators coded the transcripts, resolving differences through consensus. Sixty-one caregivers participated across 11 focus groups and 4 individual interviews. Participants were 87% female and 46% nonwhite; 38% were the only adult in t...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="20511709"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="20511709"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 20511709; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=20511709]").text(description); $(".js-view-count[data-work-id=20511709]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 20511709; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='20511709']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 20511709, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=20511709]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":20511709,"title":"The Family Perspective on Hospital to Home Transitions: A Qualitative Study","translated_title":"","metadata":{"abstract":"Transitions from the hospital to home can be difficult for patients and families. 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Using inductive thematic analysis, investigators coded the transcripts, resolving differences through consensus. Sixty-one caregivers participated across 11 focus groups and 4 individual interviews. Participants were 87% female and 46% nonwhite; 38% were the only adult in t...","internal_url":"https://www.academia.edu/20511709/The_Family_Perspective_on_Hospital_to_Home_Transitions_A_Qualitative_Study","translated_internal_url":"","created_at":"2016-01-22T03:18:21.258-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":41901989,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":13359274,"work_id":20511709,"tagging_user_id":41901989,"tagged_user_id":null,"co_author_invite_id":598520,"email":"d***r@gmail.com","display_order":0,"name":"Samir Shah","title":"The Family Perspective on Hospital to Home Transitions: A Qualitative Study"},{"id":13359286,"work_id":20511709,"tagging_user_id":41901989,"tagged_user_id":null,"co_author_invite_id":3127888,"email":"j***s@cchmc.org","display_order":4194304,"name":"Jeffrey Simmons","title":"The Family Perspective on Hospital to Home Transitions: A Qualitative Study"},{"id":13359293,"work_id":20511709,"tagging_user_id":41901989,"tagged_user_id":null,"co_author_invite_id":3127889,"email":"h***s@cchmc.org","display_order":6291456,"name":"Hadley Sauers","title":"The Family Perspective on Hospital to Home Transitions: A Qualitative Study"},{"id":13359383,"work_id":20511709,"tagging_user_id":41901989,"tagged_user_id":null,"co_author_invite_id":1938030,"email":"l***n@cchmc.org","display_order":7340032,"name":"Lauren Solan","title":"The Family Perspective on Hospital to Home Transitions: A Qualitative Study"},{"id":13359384,"work_id":20511709,"tagging_user_id":41901989,"tagged_user_id":null,"co_author_invite_id":3127918,"email":"s***s@cinci.rr.com","display_order":7864320,"name":"Susan Sherman","title":"The Family Perspective on Hospital to Home Transitions: A Qualitative Study"}],"downloadable_attachments":[],"slug":"The_Family_Perspective_on_Hospital_to_Home_Transitions_A_Qualitative_Study","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":41901989,"first_name":"Andrew","middle_initials":"F","last_name":"Beck","page_name":"AndrewBeck","domain_name":"cchmc","created_at":"2016-01-22T03:17:27.931-08:00","display_name":"Andrew F Beck","url":"https://cchmc.academia.edu/AndrewBeck"},"attachments":[],"research_interests":[{"id":631,"name":"Pediatrics","url":"https://www.academia.edu/Documents/in/Pediatrics"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="20511703"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/20511703/A_Road_Map_to_Address_the_Social_Determinants_of_Health_Through_Community_Collaboration"><img alt="Research paper thumbnail of A Road Map to Address the Social Determinants of Health Through Community Collaboration" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/20511703/A_Road_Map_to_Address_the_Social_Determinants_of_Health_Through_Community_Collaboration">A Road Map to Address the Social Determinants of Health Through Community Collaboration</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://cchmc.academia.edu/AndrewBeck">Andrew F Beck</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/AdrienneHenize">Adrienne Henize</a></span></div><div class="wp-workCard_item"><span>Pediatrics</span><span>, 2015</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Economic, environmental, and psychosocial needs are common and wide-ranging among families cared ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Economic, environmental, and psychosocial needs are common and wide-ranging among families cared for in primary care settings. Still, pediatric care delivery models are not set up to systematically address these fundamental risks to health. We offer a roadmap to help structure primary care approaches to these needs through the development of comprehensive and effective collaborations between the primary care setting and community partners. We use Maslow&#39;s Hierarchy of Needs as a well-recognized conceptual model to organize, prioritize, and determine appropriate interventions that can be adapted to both small and large practices. Specifically, collaborations with community organizations expert in addressing issues commonly encountered in primary care centers can be designed and executed in a phased manner: (1) build the case for action through a family-centered risk assessment, (2) organize and prioritize risks and interventions, (3) develop and sustain interventions, and (4) ope...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="20511703"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="20511703"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 20511703; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=20511703]").text(description); $(".js-view-count[data-work-id=20511703]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 20511703; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='20511703']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 20511703, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=20511703]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":20511703,"title":"A Road Map to Address the Social Determinants of Health Through Community Collaboration","translated_title":"","metadata":{"abstract":"Economic, environmental, and psychosocial needs are common and wide-ranging among families cared for in primary care settings. Still, pediatric care delivery models are not set up to systematically address these fundamental risks to health. We offer a roadmap to help structure primary care approaches to these needs through the development of comprehensive and effective collaborations between the primary care setting and community partners. We use Maslow\u0026#39;s Hierarchy of Needs as a well-recognized conceptual model to organize, prioritize, and determine appropriate interventions that can be adapted to both small and large practices. Specifically, collaborations with community organizations expert in addressing issues commonly encountered in primary care centers can be designed and executed in a phased manner: (1) build the case for action through a family-centered risk assessment, (2) organize and prioritize risks and interventions, (3) develop and sustain interventions, and (4) ope...","publication_date":{"day":null,"month":null,"year":2015,"errors":{}},"publication_name":"Pediatrics"},"translated_abstract":"Economic, environmental, and psychosocial needs are common and wide-ranging among families cared for in primary care settings. Still, pediatric care delivery models are not set up to systematically address these fundamental risks to health. We offer a roadmap to help structure primary care approaches to these needs through the development of comprehensive and effective collaborations between the primary care setting and community partners. We use Maslow\u0026#39;s Hierarchy of Needs as a well-recognized conceptual model to organize, prioritize, and determine appropriate interventions that can be adapted to both small and large practices. Specifically, collaborations with community organizations expert in addressing issues commonly encountered in primary care centers can be designed and executed in a phased manner: (1) build the case for action through a family-centered risk assessment, (2) organize and prioritize risks and interventions, (3) develop and sustain interventions, and (4) ope...","internal_url":"https://www.academia.edu/20511703/A_Road_Map_to_Address_the_Social_Determinants_of_Health_Through_Community_Collaboration","translated_internal_url":"","created_at":"2016-01-22T03:18:20.377-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":41901989,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":13359321,"work_id":20511703,"tagging_user_id":41901989,"tagged_user_id":null,"co_author_invite_id":1970691,"email":"r***n@cchmc.org","display_order":0,"name":"Robert Kahn","title":"A Road Map to Address the Social Determinants of Health Through Community Collaboration"},{"id":13359336,"work_id":20511703,"tagging_user_id":41901989,"tagged_user_id":42302972,"co_author_invite_id":3098957,"email":"m***n@cchmc.org","display_order":4194304,"name":"Melissa Klein","title":"A Road Map to Address the Social Determinants of Health Through Community Collaboration"},{"id":13359359,"work_id":20511703,"tagging_user_id":41901989,"tagged_user_id":42616647,"co_author_invite_id":3127897,"email":"a***e@cchmc.org","display_order":6291456,"name":"Adrienne Henize","title":"A Road Map to Address the Social Determinants of Health Through Community Collaboration"}],"downloadable_attachments":[],"slug":"A_Road_Map_to_Address_the_Social_Determinants_of_Health_Through_Community_Collaboration","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":41901989,"first_name":"Andrew","middle_initials":"F","last_name":"Beck","page_name":"AndrewBeck","domain_name":"cchmc","created_at":"2016-01-22T03:17:27.931-08:00","display_name":"Andrew F Beck","url":"https://cchmc.academia.edu/AndrewBeck"},"attachments":[],"research_interests":[{"id":631,"name":"Pediatrics","url":"https://www.academia.edu/Documents/in/Pediatrics"},{"id":2974,"name":"Primary Health Care","url":"https://www.academia.edu/Documents/in/Primary_Health_Care"},{"id":7272,"name":"Social Determinants of Health","url":"https://www.academia.edu/Documents/in/Social_Determinants_of_Health"},{"id":64933,"name":"Child","url":"https://www.academia.edu/Documents/in/Child"},{"id":65981,"name":"Needs Assessment","url":"https://www.academia.edu/Documents/in/Needs_Assessment"},{"id":98134,"name":"United States","url":"https://www.academia.edu/Documents/in/United_States"},{"id":496530,"name":"Community Networks","url":"https://www.academia.edu/Documents/in/Community_Networks"},{"id":1153482,"name":"Cooperative Behavior","url":"https://www.academia.edu/Documents/in/Cooperative_Behavior"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="20511697"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/20511697/Childhood_Asthma_Control_and_Community_Pharmacies_Moving_to_Population_Health"><img alt="Research paper thumbnail of Childhood Asthma Control and Community Pharmacies: Moving to Population Health" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/20511697/Childhood_Asthma_Control_and_Community_Pharmacies_Moving_to_Population_Health">Childhood Asthma Control and Community Pharmacies: Moving to Population Health</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Background Childhood asthma morbidity varies tremendously across regions. Pharmacies are well-pos...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Background Childhood asthma morbidity varies tremendously across regions. Pharmacies are well-positioned for an increased role in population health management. We hypothesized that the asthma medication ratio (AMR), a nationally-recognized patient-level quality metric, could be calculated at the pharmacy-level (Ph-AMR) and would be associated with community morbidity. Methods We examined asthma medication fills for children (0-18 years) between 1/31/2010-1/30/2012 at 29 retail pharmacies in a single chain within Greater Cincinnati. Medications were categorized “controller” (inhaled corticosteroids, leukotriene receptor antagonists) or “rescue” (inhaled beta-agonists). Ph-AMR was calculated by dividing controller by controller+rescue fills, similar to the patient-level AMR where ratios &lt;0.5 are associated with increased morbidity. Community asthma morbidity was defined as utilization (emergency department visitation or hospitalization) rates in the census tracts where the pharmaci...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="20511697"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="20511697"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 20511697; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=20511697]").text(description); $(".js-view-count[data-work-id=20511697]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 20511697; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='20511697']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 20511697, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=20511697]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":20511697,"title":"Childhood Asthma Control and Community Pharmacies: Moving to Population Health","translated_title":"","metadata":{"abstract":"Background Childhood asthma morbidity varies tremendously across regions. Pharmacies are well-positioned for an increased role in population health management. We hypothesized that the asthma medication ratio (AMR), a nationally-recognized patient-level quality metric, could be calculated at the pharmacy-level (Ph-AMR) and would be associated with community morbidity. Methods We examined asthma medication fills for children (0-18 years) between 1/31/2010-1/30/2012 at 29 retail pharmacies in a single chain within Greater Cincinnati. Medications were categorized “controller” (inhaled corticosteroids, leukotriene receptor antagonists) or “rescue” (inhaled beta-agonists). Ph-AMR was calculated by dividing controller by controller+rescue fills, similar to the patient-level AMR where ratios \u0026lt;0.5 are associated with increased morbidity. Community asthma morbidity was defined as utilization (emergency department visitation or hospitalization) rates in the census tracts where the pharmaci..."},"translated_abstract":"Background Childhood asthma morbidity varies tremendously across regions. Pharmacies are well-positioned for an increased role in population health management. We hypothesized that the asthma medication ratio (AMR), a nationally-recognized patient-level quality metric, could be calculated at the pharmacy-level (Ph-AMR) and would be associated with community morbidity. Methods We examined asthma medication fills for children (0-18 years) between 1/31/2010-1/30/2012 at 29 retail pharmacies in a single chain within Greater Cincinnati. Medications were categorized “controller” (inhaled corticosteroids, leukotriene receptor antagonists) or “rescue” (inhaled beta-agonists). Ph-AMR was calculated by dividing controller by controller+rescue fills, similar to the patient-level AMR where ratios \u0026lt;0.5 are associated with increased morbidity. Community asthma morbidity was defined as utilization (emergency department visitation or hospitalization) rates in the census tracts where the pharmaci...","internal_url":"https://www.academia.edu/20511697/Childhood_Asthma_Control_and_Community_Pharmacies_Moving_to_Population_Health","translated_internal_url":"","created_at":"2016-01-22T03:18:18.560-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":41901989,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":13359322,"work_id":20511697,"tagging_user_id":41901989,"tagged_user_id":null,"co_author_invite_id":1970691,"email":"r***n@cchmc.org","display_order":0,"name":"Robert Kahn","title":"Childhood Asthma Control and Community Pharmacies: Moving to Population Health"}],"downloadable_attachments":[],"slug":"Childhood_Asthma_Control_and_Community_Pharmacies_Moving_to_Population_Health","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":41901989,"first_name":"Andrew","middle_initials":"F","last_name":"Beck","page_name":"AndrewBeck","domain_name":"cchmc","created_at":"2016-01-22T03:17:27.931-08:00","display_name":"Andrew F Beck","url":"https://cchmc.academia.edu/AndrewBeck"},"attachments":[],"research_interests":[],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="20511695"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/20511695/Echocardiographic_Screening_for_Pulmonary_Hypertension_in_Preterm_Infants_with_Bronchopulmonary_Dysplasia_Is_There_a_Clinical_Phenotype_Predictive_of_Pulmonary_Hypertension"><img alt="Research paper thumbnail of Echocardiographic Screening for Pulmonary Hypertension in Preterm Infants with Bronchopulmonary Dysplasia: Is There a Clinical Phenotype Predictive of Pulmonary Hypertension?" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/20511695/Echocardiographic_Screening_for_Pulmonary_Hypertension_in_Preterm_Infants_with_Bronchopulmonary_Dysplasia_Is_There_a_Clinical_Phenotype_Predictive_of_Pulmonary_Hypertension">Echocardiographic Screening for Pulmonary Hypertension in Preterm Infants with Bronchopulmonary Dysplasia: Is There a Clinical Phenotype Predictive of Pulmonary Hypertension?</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://cchmc.academia.edu/AndrewBeck">Andrew F Beck</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/PrattJesse">Jesse Pratt</a></span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="20511695"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="20511695"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 20511695; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="20511689"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/20511689/The_pharmacy_level_asthma_medication_ratio_and_population_health"><img alt="Research paper thumbnail of The pharmacy-level asthma medication ratio and population health" class="work-thumbnail" src="https://attachments.academia-assets.com/41412131/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/20511689/The_pharmacy_level_asthma_medication_ratio_and_population_health">The pharmacy-level asthma medication ratio and population health</a></div><div class="wp-workCard_item"><span>Pediatrics</span><span>, 2015</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Community pharmacies may be positioned for an increased role in population health. We sought to d...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Community pharmacies may be positioned for an increased role in population health. We sought to develop a population-level measure of asthma medication fills and assess its relationship to asthma-related utilization. We conducted a retrospective, ecological study (2010-2012). Medication data from a chain of pharmacies (n = 27) within 1 county were used to calculate a Pharmacy-level Asthma Medication Ratio (Ph-AMR), defined as controller fills divided by controller plus rescue fills. Higher values are superior because they indicate more controller compared with rescue fills. The outcome was the asthma-related utilization rate among children in the same census tract as the pharmacy, calculated by dividing all emergency visits and hospitalizations by the number of children in that tract. Covariates, including ecological measures of poverty and access to care, were used in multivariable linear regression. Overall, 35 467 medications were filled. The median Ph-AMR was 0.53 (range 0.38-0....</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="415c89434e1d5deea649b498598e220c" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":41412131,"asset_id":20511689,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/41412131/download_file?st=MTczMjgxMzkxMiw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="20511689"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="20511689"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 20511689; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=20511689]").text(description); $(".js-view-count[data-work-id=20511689]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 20511689; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='20511689']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 20511689, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "415c89434e1d5deea649b498598e220c" } } $('.js-work-strip[data-work-id=20511689]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":20511689,"title":"The pharmacy-level asthma medication ratio and population health","translated_title":"","metadata":{"abstract":"Community pharmacies may be positioned for an increased role in population health. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="20511688"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/20511688/Localizing_molecular_probes_Inclusion_of_Re_I_complexes_in_%CE%B2_cyclodextrin"><img alt="Research paper thumbnail of Localizing molecular probes: Inclusion of Re(I) complexes in β-cyclodextrin" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/20511688/Localizing_molecular_probes_Inclusion_of_Re_I_complexes_in_%CE%B2_cyclodextrin">Localizing molecular probes: Inclusion of Re(I) complexes in β-cyclodextrin</a></div><div class="wp-workCard_item"><span>Coordination Chemistry Reviews</span><span>, 2007</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The inclusion of a series of luminescent Re(I) complexes in α- and β-cyclodextrin in water is des...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The inclusion of a series of luminescent Re(I) complexes in α- and β-cyclodextrin in water is described. The complex&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;#x27;s general structure is [L2Re(CO)3(4-R-pyridine)][ClO4] where L2 represents the α-diimine ligands 2,2′-bipyridine or 1,10 phenanthroline. The R groups were selected to span a range of hydrophobicity from –H to –(CH2)12CH3. These R&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;#x27;s showed a variety of binding constants of the complexes to</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="20511688"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="20511688"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 20511688; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=20511688]").text(description); $(".js-view-count[data-work-id=20511688]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 20511688; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='20511688']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 20511688, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=20511688]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":20511688,"title":"Localizing molecular probes: Inclusion of Re(I) complexes in β-cyclodextrin","translated_title":"","metadata":{"abstract":"The inclusion of a series of luminescent Re(I) complexes in α- and β-cyclodextrin in water is described. 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The...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Poverty is a risk factor for both language delay and failure to access appropriate therapies. The objective of this study was to increase the percentage of children 0 to 3 years old referred from an urban primary care center who attended an initial appointment with speech pathology or audiology within 60 days from 40% to 60%. The Model for Improvement was used to develop and test the intervention, which addressed potential logistical barriers faced by low-income families. Adherence was plotted on run charts in time series to assess overall improvement, and subgroups were analyzed to identify reduction in disparities. Median referral adherence improved from 40% to 60%. Families from lower income neighborhoods had lower preintervention adherence; these differences were eliminated postintervention. System-level changes improved access to evaluation and treatment for low-income children with language delay and narrowed the gap in access between families in lower versus higher income nei...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="8d0e5b7c12b327095cbb51d9ea07af07" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":41412128,"asset_id":20511687,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/41412128/download_file?st=MTczMjgxMzkxMiw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="20511687"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="20511687"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 20511687; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=20511687]").text(description); $(".js-view-count[data-work-id=20511687]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 20511687; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='20511687']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 20511687, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "8d0e5b7c12b327095cbb51d9ea07af07" } } $('.js-work-strip[data-work-id=20511687]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":20511687,"title":"Narrowing Care Gaps for Early Language Delay: A Quality Improvement Study","translated_title":"","metadata":{"abstract":"Poverty is a risk factor for both language delay and failure to access appropriate therapies. 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data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/20511683/Abstract_3269_QTLs_in_breast_tumor_and_breast_normal_adjacent_FFPE_specimens_from_the_Nurses_Health_Study"><img alt="Research paper thumbnail of Abstract 3269: QTLs in breast tumor and breast normal adjacent FFPE specimens from the Nurses’ Health Study" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/20511683/Abstract_3269_QTLs_in_breast_tumor_and_breast_normal_adjacent_FFPE_specimens_from_the_Nurses_Health_Study">Abstract 3269: QTLs in breast tumor and breast normal adjacent FFPE specimens from the Nurses’ Health Study</a></div><div class="wp-workCard_item"><span>Cancer Research</span><span>, 2014</span></div><div 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})(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=20511683]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":20511683,"title":"Abstract 3269: QTLs in breast tumor and breast normal adjacent FFPE specimens from the Nurses’ Health Study","translated_title":"","metadata":{"publication_date":{"day":null,"month":null,"year":2014,"errors":{}},"publication_name":"Cancer 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3269: QTLs in breast tumor and breast normal adjacent FFPE specimens from the Nurses’ Health Study"},{"id":13359452,"work_id":20511683,"tagging_user_id":41901989,"tagged_user_id":null,"co_author_invite_id":3127930,"email":"a***a@channing.harvard.edu","display_order":6291456,"name":"Aditi Hazra","title":"Abstract 3269: QTLs in breast tumor and breast normal adjacent FFPE specimens from the Nurses’ Health Study"}],"downloadable_attachments":[],"slug":"Abstract_3269_QTLs_in_breast_tumor_and_breast_normal_adjacent_FFPE_specimens_from_the_Nurses_Health_Study","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":41901989,"first_name":"Andrew","middle_initials":"F","last_name":"Beck","page_name":"AndrewBeck","domain_name":"cchmc","created_at":"2016-01-22T03:17:27.931-08:00","display_name":"Andrew F Beck","url":"https://cchmc.academia.edu/AndrewBeck"},"attachments":[],"research_interests":[{"id":6021,"name":"Cancer","url":"https://www.academia.edu/Documents/in/Cancer"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="20511681"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/20511681/Clinically_relevant_molecular_subtypes_in_leiomyosarcoma"><img alt="Research paper thumbnail of Clinically relevant molecular subtypes in leiomyosarcoma" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/20511681/Clinically_relevant_molecular_subtypes_in_leiomyosarcoma">Clinically relevant molecular subtypes in leiomyosarcoma</a></div><div class="wp-workCard_item"><span>Clinical cancer research : an official journal of the American Association for Cancer Research</span><span>, Jan 20, 2015</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Leiomyosarcoma (LMS) is a malignant neoplasm with smooth muscle differentiation. Little is known ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Leiomyosarcoma (LMS) is a malignant neoplasm with smooth muscle differentiation. Little is known about its molecular heterogeneity and no targeted therapy currently exists for LMS. Recognition of different molecular subtypes is necessary to evaluate novel therapeutic options. In a previous study on 51 LMS, we identified three molecular subtypes in LMS. The current study was performed to determine whether the existence of these subtypes could be confirmed in independent cohorts. 99 cases of LMS were expression profiled with 3&#39;end RNA-Sequencing (3SEQ). Consensus Clustering was conducted to determine the optimal number of subtypes. We identified 3 LMS molecular subtypes and confirmed this finding by analyzing publically available data on 82 LMS from The Cancer Genome Atlas (TCGA). We identified two new FFPE tissue-compatible diagnostic immunohistochemical markers; LMOD1 for subtype I LMS and ARL4C for subtype II LMS. An LMS tissue microarray with known clinical outcome was used to...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="20511681"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="20511681"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 20511681; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=20511681]").text(description); $(".js-view-count[data-work-id=20511681]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 20511681; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='20511681']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 20511681, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=20511681]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":20511681,"title":"Clinically relevant molecular subtypes in leiomyosarcoma","translated_title":"","metadata":{"abstract":"Leiomyosarcoma (LMS) is a malignant neoplasm with smooth muscle differentiation. Little is known about its molecular heterogeneity and no targeted therapy currently exists for LMS. Recognition of different molecular subtypes is necessary to evaluate novel therapeutic options. In a previous study on 51 LMS, we identified three molecular subtypes in LMS. The current study was performed to determine whether the existence of these subtypes could be confirmed in independent cohorts. 99 cases of LMS were expression profiled with 3\u0026#39;end RNA-Sequencing (3SEQ). Consensus Clustering was conducted to determine the optimal number of subtypes. We identified 3 LMS molecular subtypes and confirmed this finding by analyzing publically available data on 82 LMS from The Cancer Genome Atlas (TCGA). We identified two new FFPE tissue-compatible diagnostic immunohistochemical markers; LMOD1 for subtype I LMS and ARL4C for subtype II LMS. An LMS tissue microarray with known clinical outcome was used to...","publication_date":{"day":20,"month":1,"year":2015,"errors":{}},"publication_name":"Clinical cancer research : an official journal of the American Association for Cancer Research"},"translated_abstract":"Leiomyosarcoma (LMS) is a malignant neoplasm with smooth muscle differentiation. Little is known about its molecular heterogeneity and no targeted therapy currently exists for LMS. Recognition of different molecular subtypes is necessary to evaluate novel therapeutic options. In a previous study on 51 LMS, we identified three molecular subtypes in LMS. The current study was performed to determine whether the existence of these subtypes could be confirmed in independent cohorts. 99 cases of LMS were expression profiled with 3\u0026#39;end RNA-Sequencing (3SEQ). Consensus Clustering was conducted to determine the optimal number of subtypes. We identified 3 LMS molecular subtypes and confirmed this finding by analyzing publically available data on 82 LMS from The Cancer Genome Atlas (TCGA). We identified two new FFPE tissue-compatible diagnostic immunohistochemical markers; LMOD1 for subtype I LMS and ARL4C for subtype II LMS. An LMS tissue microarray with known clinical outcome was used to...","internal_url":"https://www.academia.edu/20511681/Clinically_relevant_molecular_subtypes_in_leiomyosarcoma","translated_internal_url":"","created_at":"2016-01-22T03:18:15.546-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":41901989,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":13359485,"work_id":20511681,"tagging_user_id":41901989,"tagged_user_id":41978088,"co_author_invite_id":2357078,"email":"a***1@gmail.com","display_order":0,"name":"Anne Mills","title":"Clinically relevant molecular subtypes in leiomyosarcoma"},{"id":13359492,"work_id":20511681,"tagging_user_id":41901989,"tagged_user_id":null,"co_author_invite_id":3127937,"email":"m***i@mondo.com","display_order":4194304,"name":"Marisa Nucci","title":"Clinically relevant molecular subtypes in leiomyosarcoma"},{"id":13359494,"work_id":20511681,"tagging_user_id":41901989,"tagged_user_id":null,"co_author_invite_id":3127938,"email":"s***a@udel.edu","display_order":6291456,"name":"Sharon Anderson","title":"Clinically relevant molecular subtypes in leiomyosarcoma"},{"id":13359498,"work_id":20511681,"tagging_user_id":41901989,"tagged_user_id":null,"co_author_invite_id":1687672,"email":"k***o@va.gov","display_order":7340032,"name":"Kristen Ganjoo","title":"Clinically relevant molecular subtypes in leiomyosarcoma"},{"id":13359500,"work_id":20511681,"tagging_user_id":41901989,"tagged_user_id":null,"co_author_invite_id":2648393,"email":"c***r@ualberta.ca","display_order":7864320,"name":"Christopher Fletcher","title":"Clinically relevant molecular subtypes in leiomyosarcoma"},{"id":13359509,"work_id":20511681,"tagging_user_id":41901989,"tagged_user_id":null,"co_author_invite_id":1615790,"email":"c***n@wur.nl","display_order":8126464,"name":"Matt van de Rijn","title":"Clinically relevant molecular subtypes in leiomyosarcoma"}],"downloadable_attachments":[],"slug":"Clinically_relevant_molecular_subtypes_in_leiomyosarcoma","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":41901989,"first_name":"Andrew","middle_initials":"F","last_name":"Beck","page_name":"AndrewBeck","domain_name":"cchmc","created_at":"2016-01-22T03:17:27.931-08:00","display_name":"Andrew F Beck","url":"https://cchmc.academia.edu/AndrewBeck"},"attachments":[],"research_interests":[],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="20511680"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/20511680/Adult_body_size_and_physical_activity_in_relation_to_risk_of_breast_cancer_according_to_tumor_androgen_receptor_status"><img alt="Research paper thumbnail of Adult body size and physical activity in relation to risk of breast cancer according to tumor androgen receptor status" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/20511680/Adult_body_size_and_physical_activity_in_relation_to_risk_of_breast_cancer_according_to_tumor_androgen_receptor_status">Adult body size and physical activity in relation to risk of breast cancer according to tumor androgen receptor status</a></div><div class="wp-workCard_item"><span>Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology</span><span>, Jan 8, 2015</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Obesity and physical activity have been hypothesized to affect breast cancer risk partly via the ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Obesity and physical activity have been hypothesized to affect breast cancer risk partly via the androgen signaling pathway. We conducted the first study to evaluate these associations by tumor androgen receptor (AR) status. Height, weight, and physical activity were assessed using questionnaires in the Nurses&#39; Health Study. AR, estrogen receptor (ER) and progesterone receptor (PR) status were determined using immunohistochemistry on tumor tissue and medical/pathology reports. 1,701 AR+ and 497 AR- cases were documented during 26 years of follow-up of 103,577 women. After adjusting for ER/PR status and other risk factors, the relative risks (RRs) and 95% confidence intervals (95%CIs) for every 5 kg/m2 increase in body mass index (BMI) were 1.07(1.01-1.13) for AR+ and 1.16(1.05-1.29) for AR- tumors (p-heterogeneity=0.17). The RRs(95%CIs) per 5 hours of brisk walking/week were 0.87(0.73-1.04) for AR+ and 0.67(0.45-0.99) for AR- tumors (p-heterogeneity=0.22). Further, BMI, but not ...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="20511680"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="20511680"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 20511680; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=20511680]").text(description); $(".js-view-count[data-work-id=20511680]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 20511680; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='20511680']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 20511680, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=20511680]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":20511680,"title":"Adult body size and physical activity in relation to risk of breast cancer according to tumor androgen receptor status","translated_title":"","metadata":{"abstract":"Obesity and physical activity have been hypothesized to affect breast cancer risk partly via the androgen signaling pathway. We conducted the first study to evaluate these associations by tumor androgen receptor (AR) status. Height, weight, and physical activity were assessed using questionnaires in the Nurses\u0026#39; Health Study. AR, estrogen receptor (ER) and progesterone receptor (PR) status were determined using immunohistochemistry on tumor tissue and medical/pathology reports. 1,701 AR+ and 497 AR- cases were documented during 26 years of follow-up of 103,577 women. After adjusting for ER/PR status and other risk factors, the relative risks (RRs) and 95% confidence intervals (95%CIs) for every 5 kg/m2 increase in body mass index (BMI) were 1.07(1.01-1.13) for AR+ and 1.16(1.05-1.29) for AR- tumors (p-heterogeneity=0.17). The RRs(95%CIs) per 5 hours of brisk walking/week were 0.87(0.73-1.04) for AR+ and 0.67(0.45-0.99) for AR- tumors (p-heterogeneity=0.22). Further, BMI, but not ...","publication_date":{"day":8,"month":1,"year":2015,"errors":{}},"publication_name":"Cancer epidemiology, biomarkers \u0026 prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology"},"translated_abstract":"Obesity and physical activity have been hypothesized to affect breast cancer risk partly via the androgen signaling pathway. We conducted the first study to evaluate these associations by tumor androgen receptor (AR) status. Height, weight, and physical activity were assessed using questionnaires in the Nurses\u0026#39; Health Study. AR, estrogen receptor (ER) and progesterone receptor (PR) status were determined using immunohistochemistry on tumor tissue and medical/pathology reports. 1,701 AR+ and 497 AR- cases were documented during 26 years of follow-up of 103,577 women. After adjusting for ER/PR status and other risk factors, the relative risks (RRs) and 95% confidence intervals (95%CIs) for every 5 kg/m2 increase in body mass index (BMI) were 1.07(1.01-1.13) for AR+ and 1.16(1.05-1.29) for AR- tumors (p-heterogeneity=0.17). The RRs(95%CIs) per 5 hours of brisk walking/week were 0.87(0.73-1.04) for AR+ and 0.67(0.45-0.99) for AR- tumors (p-heterogeneity=0.22). Further, BMI, but not ...","internal_url":"https://www.academia.edu/20511680/Adult_body_size_and_physical_activity_in_relation_to_risk_of_breast_cancer_according_to_tumor_androgen_receptor_status","translated_internal_url":"","created_at":"2016-01-22T03:18:15.251-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":41901989,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":13359413,"work_id":20511680,"tagging_user_id":41901989,"tagged_user_id":null,"co_author_invite_id":311143,"email":"s***n@schoolph.umass.edu","display_order":0,"name":"Susan Hankinson","title":"Adult body size and physical activity in relation to risk of breast cancer according to tumor androgen receptor status"},{"id":13359423,"work_id":20511680,"tagging_user_id":41901989,"tagged_user_id":33735382,"co_author_invite_id":3127923,"email":"n***t@channing.harvard.edu","affiliation":"Harvard Medical School","display_order":4194304,"name":"Rulla Tamimi","title":"Adult body size and physical activity in relation to risk of breast cancer according to tumor androgen receptor status"},{"id":13359431,"work_id":20511680,"tagging_user_id":41901989,"tagged_user_id":null,"co_author_invite_id":3127924,"email":"h***e@hsph.harvard.edu","display_order":6291456,"name":"Heather Eliassen","title":"Adult body size and physical activity in relation to risk of breast cancer according to tumor androgen receptor status"},{"id":13359449,"work_id":20511680,"tagging_user_id":41901989,"tagged_user_id":null,"co_author_invite_id":3127930,"email":"a***a@channing.harvard.edu","display_order":7340032,"name":"Aditi Hazra","title":"Adult body size and physical activity in relation to risk of breast cancer according to tumor androgen receptor status"},{"id":13359458,"work_id":20511680,"tagging_user_id":41901989,"tagged_user_id":null,"co_author_invite_id":251008,"email":"b***2@mail.nih.gov","display_order":7864320,"name":"Myles Brown","title":"Adult body size and physical activity in relation to risk of breast cancer according to tumor androgen receptor status"}],"downloadable_attachments":[],"slug":"Adult_body_size_and_physical_activity_in_relation_to_risk_of_breast_cancer_according_to_tumor_androgen_receptor_status","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":41901989,"first_name":"Andrew","middle_initials":"F","last_name":"Beck","page_name":"AndrewBeck","domain_name":"cchmc","created_at":"2016-01-22T03:17:27.931-08:00","display_name":"Andrew F Beck","url":"https://cchmc.academia.edu/AndrewBeck"},"attachments":[],"research_interests":[],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="20511678"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/20511678/_title_Real_time_diagnosis_of_bladder_cancer_with_probe_based_confocal_laser_endomicroscopy_title_"><img alt="Research paper thumbnail of <title>Real time diagnosis of bladder cancer with probe-based confocal laser endomicroscopy</title>" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/20511678/_title_Real_time_diagnosis_of_bladder_cancer_with_probe_based_confocal_laser_endomicroscopy_title_"><title>Real time diagnosis of bladder cancer with probe-based confocal laser endomicroscopy</title></a></div><div class="wp-workCard_item"><span>Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues IX</span><span>, 2011</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Probe-based confocal laser endomicroscopy (pCLE) is an emerging technology for in vivo optical im...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Probe-based confocal laser endomicroscopy (pCLE) is an emerging technology for in vivo optical imaging of the urinary tract. Particularly for bladder cancer, real time optical biopsy of suspected lesions will likely lead to improved management of bladder cancer. With pCLE, micron scale resolution is achieved with sterilizable imaging probes (1.4 or 2.6 mm diameter), which are compatible with standard cystoscopes</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="20511678"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="20511678"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 20511678; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=20511678]").text(description); $(".js-view-count[data-work-id=20511678]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 20511678; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='20511678']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 20511678, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=20511678]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":20511678,"title":"\u003ctitle\u003eReal time diagnosis of bladder cancer with probe-based confocal laser endomicroscopy\u003c/title\u003e","translated_title":"","metadata":{"abstract":"Probe-based confocal laser endomicroscopy (pCLE) is an emerging technology for in vivo optical imaging of the urinary tract. Particularly for bladder cancer, real time optical biopsy of suspected lesions will likely lead to improved management of bladder cancer. With pCLE, micron scale resolution is achieved with sterilizable imaging probes (1.4 or 2.6 mm diameter), which are compatible with standard cystoscopes","publication_date":{"day":null,"month":null,"year":2011,"errors":{}},"publication_name":"Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues IX"},"translated_abstract":"Probe-based confocal laser endomicroscopy (pCLE) is an emerging technology for in vivo optical imaging of the urinary tract. Particularly for bladder cancer, real time optical biopsy of suspected lesions will likely lead to improved management of bladder cancer. With pCLE, micron scale resolution is achieved with sterilizable imaging probes (1.4 or 2.6 mm diameter), which are compatible with standard cystoscopes","internal_url":"https://www.academia.edu/20511678/_title_Real_time_diagnosis_of_bladder_cancer_with_probe_based_confocal_laser_endomicroscopy_title_","translated_internal_url":"","created_at":"2016-01-22T03:18:14.972-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":41901989,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":13359472,"work_id":20511678,"tagging_user_id":41901989,"tagged_user_id":64422821,"co_author_invite_id":3127932,"email":"k***l@yahoo.com","display_order":0,"name":"Kristin Jensen","title":"\u003ctitle\u003eReal time diagnosis of bladder cancer with probe-based confocal laser endomicroscopy\u003c/title\u003e"}],"downloadable_attachments":[],"slug":"_title_Real_time_diagnosis_of_bladder_cancer_with_probe_based_confocal_laser_endomicroscopy_title_","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":41901989,"first_name":"Andrew","middle_initials":"F","last_name":"Beck","page_name":"AndrewBeck","domain_name":"cchmc","created_at":"2016-01-22T03:17:27.931-08:00","display_name":"Andrew F Beck","url":"https://cchmc.academia.edu/AndrewBeck"},"attachments":[],"research_interests":[{"id":1185,"name":"Image Processing","url":"https://www.academia.edu/Documents/in/Image_Processing"},{"id":33302,"name":"Optical Imaging","url":"https://www.academia.edu/Documents/in/Optical_Imaging"},{"id":58274,"name":"Bladder Cancer","url":"https://www.academia.edu/Documents/in/Bladder_Cancer"},{"id":229390,"name":"Real Time","url":"https://www.academia.edu/Documents/in/Real_Time"},{"id":363553,"name":"Urinary Tract","url":"https://www.academia.edu/Documents/in/Urinary_Tract"},{"id":406886,"name":"Emerging Technology","url":"https://www.academia.edu/Documents/in/Emerging_Technology"},{"id":534293,"name":"White Light","url":"https://www.academia.edu/Documents/in/White_Light"},{"id":675221,"name":"Diagnostic Accuracy","url":"https://www.academia.edu/Documents/in/Diagnostic_Accuracy"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="20511677"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/20511677/NFAT1_promotes_intratumoral_neutrophil_infiltration_by_regulating_IL8_expression_in_breast_cancer"><img alt="Research paper thumbnail of NFAT1 promotes intratumoral neutrophil infiltration by regulating IL8 expression in breast cancer" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/20511677/NFAT1_promotes_intratumoral_neutrophil_infiltration_by_regulating_IL8_expression_in_breast_cancer">NFAT1 promotes intratumoral neutrophil infiltration by regulating IL8 expression in breast cancer</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://cchmc.academia.edu/AndrewBeck">Andrew F Beck</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/LuoBo1">Luo Bo</a></span></div><div class="wp-workCard_item"><span>Molecular oncology</span><span>, Jan 19, 2015</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">NFAT transcription factors are key regulators of gene expression in immune cells. In addition, NF...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">NFAT transcription factors are key regulators of gene expression in immune cells. In addition, NFAT1-induced genes play diverse roles in mediating the progression of various solid tumors. Here we show that NFAT1 induces the expression of the IL8 gene by binding to its promoter and leading to IL8 secretion. Thapsigargin stimulation of breast cancer cells induces IL8 expression in an NFAT-dependent manner. Moreover, we show that NFAT1-mediated IL8 production promotes the migration of primary human neutrophils in vitro and also promotes neutrophil infiltration in tumor xenografts. Furthermore, expression of active NFAT1 effectively suppresses the growth of nascent and established tumors by a non cell-autonomous mechanism. Evaluation of breast tumor tissue reveals that while the levels of NFAT1 are similar in tumor cells and normal breast epithelium, cells in the tumor stroma express higher levels of NFAT1 compared to normal stroma. Elevated levels of NFAT1 also correlate with increased...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="20511677"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="20511677"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 20511677; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=20511677]").text(description); $(".js-view-count[data-work-id=20511677]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 20511677; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='20511677']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 20511677, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=20511677]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":20511677,"title":"NFAT1 promotes intratumoral neutrophil infiltration by regulating IL8 expression in breast cancer","translated_title":"","metadata":{"abstract":"NFAT transcription factors are key regulators of gene expression in immune cells. In addition, NFAT1-induced genes play diverse roles in mediating the progression of various solid tumors. Here we show that NFAT1 induces the expression of the IL8 gene by binding to its promoter and leading to IL8 secretion. Thapsigargin stimulation of breast cancer cells induces IL8 expression in an NFAT-dependent manner. Moreover, we show that NFAT1-mediated IL8 production promotes the migration of primary human neutrophils in vitro and also promotes neutrophil infiltration in tumor xenografts. Furthermore, expression of active NFAT1 effectively suppresses the growth of nascent and established tumors by a non cell-autonomous mechanism. Evaluation of breast tumor tissue reveals that while the levels of NFAT1 are similar in tumor cells and normal breast epithelium, cells in the tumor stroma express higher levels of NFAT1 compared to normal stroma. Elevated levels of NFAT1 also correlate with increased...","publication_date":{"day":19,"month":1,"year":2015,"errors":{}},"publication_name":"Molecular oncology"},"translated_abstract":"NFAT transcription factors are key regulators of gene expression in immune cells. In addition, NFAT1-induced genes play diverse roles in mediating the progression of various solid tumors. Here we show that NFAT1 induces the expression of the IL8 gene by binding to its promoter and leading to IL8 secretion. Thapsigargin stimulation of breast cancer cells induces IL8 expression in an NFAT-dependent manner. Moreover, we show that NFAT1-mediated IL8 production promotes the migration of primary human neutrophils in vitro and also promotes neutrophil infiltration in tumor xenografts. Furthermore, expression of active NFAT1 effectively suppresses the growth of nascent and established tumors by a non cell-autonomous mechanism. Evaluation of breast tumor tissue reveals that while the levels of NFAT1 are similar in tumor cells and normal breast epithelium, cells in the tumor stroma express higher levels of NFAT1 compared to normal stroma. Elevated levels of NFAT1 also correlate with increased...","internal_url":"https://www.academia.edu/20511677/NFAT1_promotes_intratumoral_neutrophil_infiltration_by_regulating_IL8_expression_in_breast_cancer","translated_internal_url":"","created_at":"2016-01-22T03:18:14.600-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":41901989,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":13359478,"work_id":20511677,"tagging_user_id":41901989,"tagged_user_id":42065170,"co_author_invite_id":1806201,"email":"l***i@gmail.com","display_order":0,"name":"L. Montaser-kouhsari","title":"NFAT1 promotes intratumoral neutrophil infiltration by regulating IL8 expression in breast cancer"},{"id":13359530,"work_id":20511677,"tagging_user_id":41901989,"tagged_user_id":null,"co_author_invite_id":3127941,"email":"l***2@yahoo.com","display_order":4194304,"name":"Li Zhao","title":"NFAT1 promotes intratumoral neutrophil infiltration by regulating IL8 expression in breast cancer"},{"id":13359531,"work_id":20511677,"tagging_user_id":41901989,"tagged_user_id":41974708,"co_author_invite_id":3062695,"email":"h***o@childrens.harvard.edu","display_order":6291456,"name":"Luo Bo","title":"NFAT1 promotes intratumoral neutrophil infiltration by regulating IL8 expression in breast cancer"},{"id":13359533,"work_id":20511677,"tagging_user_id":41901989,"tagged_user_id":null,"co_author_invite_id":1470513,"email":"a***r@bidmc.harvard.edu","display_order":7340032,"name":"Alex Toker","title":"NFAT1 promotes intratumoral neutrophil infiltration by regulating IL8 expression in breast cancer"}],"downloadable_attachments":[],"slug":"NFAT1_promotes_intratumoral_neutrophil_infiltration_by_regulating_IL8_expression_in_breast_cancer","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":41901989,"first_name":"Andrew","middle_initials":"F","last_name":"Beck","page_name":"AndrewBeck","domain_name":"cchmc","created_at":"2016-01-22T03:17:27.931-08:00","display_name":"Andrew F Beck","url":"https://cchmc.academia.edu/AndrewBeck"},"attachments":[],"research_interests":[{"id":64508,"name":"Molecular Oncology","url":"https://www.academia.edu/Documents/in/Molecular_Oncology"},{"id":1924712,"name":"Interleukin","url":"https://www.academia.edu/Documents/in/Interleukin"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="20511675"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/20511675/Dense_and_Non_dense_Mammographic_Area_and_Risk_of_Breast_Cancer_by_Age_and_Tumor_Characteristics"><img alt="Research paper thumbnail of Dense and Non-dense Mammographic Area and Risk of Breast Cancer by Age and Tumor Characteristics" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/20511675/Dense_and_Non_dense_Mammographic_Area_and_Risk_of_Breast_Cancer_by_Age_and_Tumor_Characteristics">Dense and Non-dense Mammographic Area and Risk of Breast Cancer by Age and Tumor Characteristics</a></div><div class="wp-workCard_item"><span>Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology</span><span>, Jan 25, 2015</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Background:Mammographic density (MD) is a strong breast cancer risk factor. We previously reporte...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Background:Mammographic density (MD) is a strong breast cancer risk factor. We previously reported associations of percent MD with larger and node-positive tumors across all ages, and estrogen receptor (ER)-negative status among women ages &lt;55 years. To provide insight into these associations, we examined the components of percent MD (dense area (DA) and non-dense area (NDA) with breast cancer subtypes. Methods:Data were pooled from six studies including 4095 breast cancers and 8558 controls. DA and NDA were assessed from digitized film-screen mammograms and standardized across studies. Breast cancer odds by density phenotypes and age according to histopathological characteristics and receptor status were calculated using polytomous logistic regression. Results:DA was associated with increased breast cancer risk [odds ratios (OR) for quartiles: 0.65, 1.00(Ref), 1.22, 1.55; p-trend &lt;0.001] and NDA was associated with decreased risk [ORs for quartiles: 1.39, 1.00(Ref), 0.88, 0.7...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="20511675"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="20511675"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 20511675; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=20511675]").text(description); $(".js-view-count[data-work-id=20511675]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 20511675; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='20511675']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 20511675, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=20511675]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":20511675,"title":"Dense and Non-dense Mammographic Area and Risk of Breast Cancer by Age and Tumor Characteristics","translated_title":"","metadata":{"abstract":"Background:Mammographic density (MD) is a strong breast cancer risk factor. We previously reported associations of percent MD with larger and node-positive tumors across all ages, and estrogen receptor (ER)-negative status among women ages \u0026lt;55 years. To provide insight into these associations, we examined the components of percent MD (dense area (DA) and non-dense area (NDA) with breast cancer subtypes. Methods:Data were pooled from six studies including 4095 breast cancers and 8558 controls. DA and NDA were assessed from digitized film-screen mammograms and standardized across studies. Breast cancer odds by density phenotypes and age according to histopathological characteristics and receptor status were calculated using polytomous logistic regression. Results:DA was associated with increased breast cancer risk [odds ratios (OR) for quartiles: 0.65, 1.00(Ref), 1.22, 1.55; p-trend \u0026lt;0.001] and NDA was associated with decreased risk [ORs for quartiles: 1.39, 1.00(Ref), 0.88, 0.7...","publication_date":{"day":25,"month":1,"year":2015,"errors":{}},"publication_name":"Cancer epidemiology, biomarkers \u0026 prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology"},"translated_abstract":"Background:Mammographic density (MD) is a strong breast cancer risk factor. We previously reported associations of percent MD with larger and node-positive tumors across all ages, and estrogen receptor (ER)-negative status among women ages \u0026lt;55 years. To provide insight into these associations, we examined the components of percent MD (dense area (DA) and non-dense area (NDA) with breast cancer subtypes. Methods:Data were pooled from six studies including 4095 breast cancers and 8558 controls. DA and NDA were assessed from digitized film-screen mammograms and standardized across studies. Breast cancer odds by density phenotypes and age according to histopathological characteristics and receptor status were calculated using polytomous logistic regression. Results:DA was associated with increased breast cancer risk [odds ratios (OR) for quartiles: 0.65, 1.00(Ref), 1.22, 1.55; p-trend \u0026lt;0.001] and NDA was associated with decreased risk [ORs for quartiles: 1.39, 1.00(Ref), 0.88, 0.7...","internal_url":"https://www.academia.edu/20511675/Dense_and_Non_dense_Mammographic_Area_and_Risk_of_Breast_Cancer_by_Age_and_Tumor_Characteristics","translated_internal_url":"","created_at":"2016-01-22T03:18:14.231-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":41901989,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":13359424,"work_id":20511675,"tagging_user_id":41901989,"tagged_user_id":33735382,"co_author_invite_id":3127923,"email":"n***t@channing.harvard.edu","affiliation":"Harvard Medical School","display_order":0,"name":"Rulla Tamimi","title":"Dense and Non-dense Mammographic Area and Risk of Breast Cancer by Age and Tumor 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<div class="js-work-strip profile--work_container" data-work-id="20511674"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/20511674/109_Prevalence_of_Cockroach_and_Mouse_Sensitization_Among_Children_Hospitalized_for_Wheezing_and_Asthma"><img alt="Research paper thumbnail of 109 Prevalence of Cockroach and Mouse Sensitization Among Children Hospitalized for Wheezing and Asthma" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/20511674/109_Prevalence_of_Cockroach_and_Mouse_Sensitization_Among_Children_Hospitalized_for_Wheezing_and_Asthma">109 Prevalence of Cockroach and Mouse Sensitization Among Children Hospitalized for Wheezing and Asthma</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://cchmc.academia.edu/AndrewBeck">Andrew F Beck</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/StrongHeather">Heather Strong</a></span></div><div class="wp-workCard_item"><span>World Allergy Organization Journal</span><span>, 2012</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">ABSTRACT</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="20511674"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa 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href="https://independent.academia.edu/HuynhThang2">Huynh Thang</a></span></div><div class="wp-workCard_item"><span>Nature</span><span>, 2012</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="decea67112e5da7b80391bde460d339a" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":41412129,"asset_id":20511672,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/41412129/download_file?st=MTczMjgxMzkxMiw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="20511672"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa 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class="js-work-more-abstract-truncated">Pseudomembranous colitis is most often associated with antibiotic use and caused most often by Cl...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Pseudomembranous colitis is most often associated with antibiotic use and caused most often by Clostridium difficile. 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P...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Leiomyosarcoma (LMS) is a malignant, soft-tissue tumor for which few effective therapies exist. Previously, we showed that there are three molecular subtypes of LMS. Here, we analyzed genes differentially expressed in each of the three LMS subtypes as compared to benign leiomyomas and then used the Connectivity Map (cmap) to calculate enrichment scores for the 1309 cmap drugs in order to identify candidate molecules with the potential to induce a benign, leiomyoma-like phenotype in LMS cells. 11 drugs were selected and tested for their ability to inhibit the growth of three human LMS cell lines. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> </div><div class="profile--tab_content_container js-tab-pane tab-pane" data-section-id="5551788" id="publications"><div class="js-work-strip profile--work_container" data-work-id="20385330"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/20385330/A_Self_Guided_Tour_of_an_Impoverished_Neighborhood_Changes_Pediatric_Residents_Perspectives"><img alt="Research paper thumbnail of A Self-Guided Tour of an Impoverished Neighborhood Changes Pediatric Residents’ Perspectives" class="work-thumbnail" src="https://attachments.academia-assets.com/41330013/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/20385330/A_Self_Guided_Tour_of_an_Impoverished_Neighborhood_Changes_Pediatric_Residents_Perspectives">A Self-Guided Tour of an Impoverished Neighborhood Changes Pediatric Residents’ Perspectives</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://cchmc.academia.edu/JeanneSpauldingMAIS">Jeanne R Spaulding, MAIS</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/FrancisJReal">Francis J. Real</a>, and <a class="" data-click-track="profile-work-strip-authors" href="https://cchmc.academia.edu/AndrewBeck">Andrew F Beck</a></span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The neighborhood in which one lives impacts health across the lifespan. As such, neighborhood con...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The neighborhood in which one lives impacts health across the lifespan. As such, neighborhood context— the risks and assets present within a patient’s neighborhood— may be an important consideration in the primary care setting. This study assessed a neighborhood-based immersion curriculum for pediatric residents that included a self-guided tour of a local impoverished neighborhood. Impact of the curriculum was evaluated via competence-based self-assessments. After<br />completion of the curriculum, residents (n=41) reported an enhanced understanding of neighborhood resources and contextual hardships. Our findings suggest that a neighborhood tour may serve as an appropriate introduction to the effects of<br />neighborhood on health.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="94b978cc862e0f965d097062f5173a20" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":41330013,"asset_id":20385330,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/41330013/download_file?st=MTczMjgxMzkxMiw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="20385330"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="20385330"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 20385330; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=20385330]").text(description); $(".js-view-count[data-work-id=20385330]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 20385330; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='20385330']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 20385330, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "94b978cc862e0f965d097062f5173a20" } } $('.js-work-strip[data-work-id=20385330]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":20385330,"title":"A Self-Guided Tour of an Impoverished Neighborhood Changes Pediatric Residents’ Perspectives","translated_title":"","metadata":{"abstract":"The neighborhood in which one lives impacts health across the lifespan. 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