{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T01:19:27Z","timestamp":1788225567102,"version":"build-2803163510"},"reference-count":37,"publisher":"Wiley","issue":"3","license":[{"start":{"date-parts":[[2024,9,7]],"date-time":"2024-09-07T00:00:00Z","timestamp":1725667200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2024,9,7]],"date-time":"2024-09-07T00:00:00Z","timestamp":1725667200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Intl Journal of Cancer"],"published-print":{"date-parts":[[2025,2,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>In most developed countries, both organized screening (OrgS) and opportunistic screening (OppS) coexist. The literature has extensively covered the impact of organized screening on women's survival after breast cancer. However, the impact of opportunistic screening has been less frequently described due to the challenge of identifying the target population. The aim of this study was to describe the net survival and excess mortality hazard (EMH) in each screening group (OrgS, OppS, or No screening) and to determine whether there is an identical social gradient in each groups. Three data sources (cancer registry, screening coordination centers, and National Health Data System [NHDS]) were used to identify the three screening groups. The European Deprivation Index (EDI) defined the level of deprivation. We modeled excess breast cancer mortality hazard and net survival using penalized flexible models. We observed a higher EMH for \u201cNo screening\u201d women compared with the other two groups, regardless of level of deprivation and age at diagnosis. A social gradient appeared for each group at different follow\u2010up times and particularly between 2 and 3\u2009years of follow\u2010up for \u201cOrgS\u201d and \u201cOppS\u201d women. Net survival was higher for \u201cOrgS\u201d women than \u201cOppS\u201d women, especially for the oldest women, and regardless of the deprivation level. This study provides new evidence of the impact of OrgS on net survival and excess mortality hazard after breast cancer, compared with opportunistic screening or no screening, and tends to show that OrgS attenuates the social gradient effect.<\/jats:p>","DOI":"10.1002\/ijc.35173","type":"journal-article","created":{"date-parts":[[2024,9,7]],"date-time":"2024-09-07T15:27:56Z","timestamp":1725722876000},"page":"518-528","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Impact of organized and opportunistic screening on excess mortality and on social inequalities in breast cancer survival"],"prefix":"10.1002","volume":"156","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7960-2826","authenticated-orcid":false,"given":"Marie","family":"Poiseuil","sequence":"first","affiliation":[{"name":"Universit\u00e9 Bordeaux, Gironde General Cancer Registry  Bordeaux France"},{"name":"Inserm, Bordeaux Population Health, Research 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France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Isabelle","family":"Laville","sequence":"additional","affiliation":[{"name":"Centre R\u00e9gional de Coordination des D\u00e9pistages des Cancers\u2014Nouvelle Aquitaine, site Gironde  M\u00e9rignac France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mathieu","family":"Fauvernier","sequence":"additional","affiliation":[{"name":"Hospices Civils de Lyon, P\u00f4le Sant\u00e9 Publique, Service de Biostatistique\u2014Bioinformatique  Lyon France"},{"name":"Biometrics and Evolutionary Biology Laboratory, Biostatistics and Health team Lyon University, Lyon 1 University, CNRS, UMR 5558  Villeurbanne France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Laurent","family":"Remontet","sequence":"additional","affiliation":[{"name":"Hospices Civils de Lyon, P\u00f4le Sant\u00e9 Publique, Service de Biostatistique\u2014Bioinformatique  Lyon France"},{"name":"Biometrics and Evolutionary Biology Laboratory, Biostatistics and Health team Lyon University, Lyon 1 University, CNRS, UMR 5558  Villeurbanne France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2057-598X","authenticated-orcid":false,"given":"Brice","family":"Amadeo","sequence":"additional","affiliation":[{"name":"Universit\u00e9 Bordeaux, Gironde General Cancer Registry  Bordeaux France"},{"name":"Inserm, Bordeaux Population Health, Research Center U1219, Team EPICENE  Bordeaux France"},{"name":"FRANCIM Network of French Cancer Registries  Toulouse France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ga\u00eblle","family":"Coureau","sequence":"additional","affiliation":[{"name":"Universit\u00e9 Bordeaux, Gironde General Cancer Registry  Bordeaux France"},{"name":"Inserm, Bordeaux Population Health, Research Center U1219, Team EPICENE  Bordeaux France"},{"name":"FRANCIM Network of French Cancer Registries  Toulouse France"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2024,9,7]]},"reference":[{"key":"e_1_2_11_2_1","volume-title":"Estimations nationales de l'incidence et de la mortalit\u00e9 par cancer en France m\u00e9tropolitaine entre 1990 et 2018\u2014Volume 1: Tumeurs solides: \u00c9tude \u00e0 partir des registres des cancers du r\u00e9seau Francim","author":"Defossez G","year":"2019"},{"key":"e_1_2_11_3_1","doi-asserted-by":"publisher","DOI":"10.1002\/ijc.33588"},{"key":"e_1_2_11_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(17)33326-3"},{"key":"e_1_2_11_5_1","volume-title":"Survie des personnes atteintes de cancer en France m\u00e9tropolitaine 1989\u20132018\u2014Sein","author":"Molini\u00e9 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