Author
Listed:
- Sarah Wilson
(ANTICIPE - Unité de recherche interdisciplinaire pour la prévention et le traitement des cancers - UNICAEN - Université de Caen Normandie - NU - Normandie Université - CHU Caen - NU - Normandie Université - TCBN - Tumorothèque de Caen Basse-Normandie - UNICANCER/CRLC - Centre Régional de Lutte contre le Cancer François Baclesse [Caen] - NU - Normandie Université - UNICANCER - TCBN - Tumorothèque de Caen Basse-Normandie - INSERM - Institut National de la Santé et de la Recherche Médicale)
- Ophelie Merville
(CERPOP - Centre d'Epidémiologie et de Recherche en santé des POPulations - UT3 - Université Toulouse III - Paul Sabatier - UT - Université de Toulouse - INSERM - Institut National de la Santé et de la Recherche Médicale)
- Olivier Dejardin
(ANTICIPE - Unité de recherche interdisciplinaire pour la prévention et le traitement des cancers - UNICAEN - Université de Caen Normandie - NU - Normandie Université - CHU Caen - NU - Normandie Université - TCBN - Tumorothèque de Caen Basse-Normandie - UNICANCER/CRLC - Centre Régional de Lutte contre le Cancer François Baclesse [Caen] - NU - Normandie Université - UNICANCER - TCBN - Tumorothèque de Caen Basse-Normandie - INSERM - Institut National de la Santé et de la Recherche Médicale)
- Josephine Gardy
(ANTICIPE - Unité de recherche interdisciplinaire pour la prévention et le traitement des cancers - UNICAEN - Université de Caen Normandie - NU - Normandie Université - CHU Caen - NU - Normandie Université - TCBN - Tumorothèque de Caen Basse-Normandie - UNICANCER/CRLC - Centre Régional de Lutte contre le Cancer François Baclesse [Caen] - NU - Normandie Université - UNICANCER - TCBN - Tumorothèque de Caen Basse-Normandie - INSERM - Institut National de la Santé et de la Recherche Médicale, UNICANCER/CRLC - Centre Régional de Lutte contre le Cancer François Baclesse [Caen] - NU - Normandie Université - UNICANCER - TCBN - Tumorothèque de Caen Basse-Normandie)
- Quentin Rollet
(ANTICIPE - Unité de recherche interdisciplinaire pour la prévention et le traitement des cancers - UNICAEN - Université de Caen Normandie - NU - Normandie Université - CHU Caen - NU - Normandie Université - TCBN - Tumorothèque de Caen Basse-Normandie - UNICANCER/CRLC - Centre Régional de Lutte contre le Cancer François Baclesse [Caen] - NU - Normandie Université - UNICANCER - TCBN - Tumorothèque de Caen Basse-Normandie - INSERM - Institut National de la Santé et de la Recherche Médicale)
- Valerie Jooste
(PADYS - Physiopathologie des Dyslipidémies : PADYS (CTM UMR 1231) - CTM - Center for Translational and Molecular medicine [Dijon - UMR1231] - EPHE - École Pratique des Hautes Études - PSL - Université Paris Sciences et Lettres - INSERM - Institut National de la Santé et de la Recherche Médicale - Institut Agro Dijon - Institut Agro - Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement - UBE - Université Bourgogne Europe)
- Florence Molinie
(SIRIC-ILIAD - Site de Recherche Intégrée sur le Cancer - Imaging and Longitudinal Investigations to Ameliorate Decision-making - UA - Université d'Angers - INSERM - Institut National de la Santé et de la Recherche Médicale - Institut de Recherche Public - ARRONAX - (GIP) Groupement d'Intérêt Public [Saint-Herblain] - Nantes Univ - Nantes Université - Nantes Univ - ECN - NANTES UNIVERSITÉ - École Centrale de Nantes - Nantes Univ - Nantes Université)
- Laure Tron
(CHUGA - Centre Hospitalier Universitaire [CHU Grenoble], IAB - Institute for Advanced Biosciences / Institut pour l'Avancée des Biosciences (Grenoble) - CHUGA - Centre Hospitalier Universitaire [CHU Grenoble] - INSERM - Institut National de la Santé et de la Recherche Médicale - EFS - Etablissement français du sang - Auvergne-Rhône-Alpes - CNRS - Centre National de la Recherche Scientifique - UGA - Université Grenoble Alpes, DIMAC - IAB - Dynamique cellulaire, Immunité, Métabolisme & Cancer/Cell Dynamics, Immunity, Metabolism & Cancer - IAB - Institute for Advanced Biosciences / Institut pour l'Avancée des Biosciences (Grenoble) - CHUGA - Centre Hospitalier Universitaire [CHU Grenoble] - INSERM - Institut National de la Santé et de la Recherche Médicale - EFS - Etablissement français du sang - Auvergne-Rhône-Alpes - CNRS - Centre National de la Recherche Scientifique - UGA - Université Grenoble Alpes)
- Guy Launoy
(ANTICIPE - Unité de recherche interdisciplinaire pour la prévention et le traitement des cancers - UNICAEN - Université de Caen Normandie - NU - Normandie Université - CHU Caen - NU - Normandie Université - TCBN - Tumorothèque de Caen Basse-Normandie - UNICANCER/CRLC - Centre Régional de Lutte contre le Cancer François Baclesse [Caen] - NU - Normandie Université - UNICANCER - TCBN - Tumorothèque de Caen Basse-Normandie - INSERM - Institut National de la Santé et de la Recherche Médicale)
Abstract
Background: Previous studies have reported lower net survival probabilities for socioeconomically deprived patients, using non-deprivation specific lifetables. Not accounting for the social gradient in background mortality could potentially overestimate the effect of deprivation on net survival. The aim of this study was to estimate the impact of taking into account the social gradient of expected mortality in the general population on the study of the social gradient of survival of people with cancer. Methods: French cancer registry data was analyzed, with 190,902 incident cases of nineteen cancer sites between 2013 and 2015. Deprivation was measured using the European deprivation index (EDI). Net survival was estimated thanks to additive models with French lifetables stratified on deprivation level with the EDI, using the non-parametric Pohar-perme method and flexible excess hazard modelling with multidimensional penalized splines, firstly with non-specific lifetables then with the deprivation specific-lifetables. Results: A significant effect of EDI on excess mortality hazard (EMH) remained when using the deprivation-specific lifetables for colorectal, lung cancer and melanoma in both sexes, and esophagus, bladder, head and neck and liver cancer for men, and breast, cervix and uterine cancer for women. The only site where the effect of EDI on EMH was no longer significant when using deprivation-specific lifetables was prostate cancer. Conclusions: The use of deprivation-specific lifetables confirms the existence of a social gradient in cancer survival, indicating that these inequalities do not result from inequalities in background mortality. Development of such deprivation-specific lifetables for future years is crucial to understand mechanisms of social inequalities and work towards reducing the social burden.
Suggested Citation
Sarah Wilson & Ophelie Merville & Olivier Dejardin & Josephine Gardy & Quentin Rollet & Valerie Jooste & Florence Molinie & Laure Tron & Guy Launoy, 2025.
"Use of mortality tables by level of deprivation in the study of social inequalities in cancer survival,"
Post-Print
hal-05008584, HAL.
Handle:
RePEc:hal:journl:hal-05008584
DOI: 10.1007/s10654-024-01199-1
Note: View the original document on HAL open archive server: https://hal.science/hal-05008584v1
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