Impact of organized and opportunistic screening on excess mortality and on social inequalities in breast cancer survival

Author:

Poiseuil Marie12ORCID,Molinié Florence345,Dabakuyo‐Yonli Tienhan Sandrine567ORCID,Laville Isabelle8,Fauvernier Mathieu910,Remontet Laurent910,Amadeo Brice125ORCID,Coureau Gaëlle125

Affiliation:

1. Université Bordeaux, Gironde General Cancer Registry Bordeaux France

2. Inserm, Bordeaux Population Health, Research Center U1219, Team EPICENE Bordeaux France

3. Loire‐Atlantique/Vendée Cancer Registry Nantes France

4. CERPOP, Université de Toulouse Toulouse France

5. FRANCIM Network of French Cancer Registries Toulouse France

6. Breast and Gynaecologic Cancer Registry of Côte d'Or, Georges Francois Leclerc Comprehensive Cancer Centre, INSERM U1231, 1 rue Professeur Marion Dijon France

7. Epidemiology and Quality of Life Research Unit INSERM U1231 Dijon France

8. Centre Régional de Coordination des Dépistages des Cancers—Nouvelle Aquitaine, site Gironde Mérignac France

9. Hospices Civils de Lyon, Pôle Santé Publique, Service de Biostatistique—Bioinformatique Lyon France

10. Biometrics and Evolutionary Biology Laboratory, Biostatistics and Health team Lyon University, Lyon 1 University, CNRS, UMR 5558 Villeurbanne France

Abstract

AbstractIn 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 “No screening” 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‐up times and particularly between 2 and 3 years of follow‐up for “OrgS” and “OppS” women. Net survival was higher for “OrgS” women than “OppS” 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.

Publisher

Wiley

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