Is the Social Gradient in Net Survival Observed in France the Result of Inequalities in Cancer-Specific Mortality or Inequalities in General Mortality?

Author:

Tron Laure1ORCID,Remontet Laurent2345ORCID,Fauvernier Mathieu2345ORCID,Rachet Bernard6ORCID,Belot Aurélien6ORCID,Launay Ludivine1,Merville Ophélie1,Molinié Florence789,Dejardin Olivier110,Launoy Guy1710,

Affiliation:

1. ANTICIPE U1086 INSERM-UCN, Equipe Labellisée Ligue Contre le Cancer, Centre François Baclesse, Normandie Université UNICAEN, 14000 Caen, France

2. Service de Biostatistique—Bioinformatique, Pôle Santé Publique, Hospices Civils de Lyon, 69000 Lyon, France

3. University of Lyon, 69000 Lyon, France

4. University of Lyon 1, 69100 Villeurbanne, France

5. Équipe Biostatistique-Santé, Laboratoire de Biométrie et Biologie Évolutive, CNRS, UMR 5558, 69100 Villeurbanne, France

6. Inequalities in Cancer Outcomes Network, Department of Non-Communicable Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London WC1E 7HT, UK

7. French Network of Cancer Registries (FRANCIM), 31000 Toulouse, France

8. Loire-Atlantique-Vendée Cancer Registry, 44000 Nantes, France

9. Centre d’Epidémiologie et de Recherche en santé des POPulations (CERPOP) UMR1295, Université de Toulouse Paul Sabatier, Inserm, 31000 Toulouse, France

10. Research Department, Caen University Hospital Centre, 14000 Caen, France

Abstract

Background: In cancer net survival analyses, if life tables (LT) are not stratified based on socio-demographic characteristics, then the social gradient in mortality in the general population is ignored. Consequently, the social gradient estimated on cancer-related excess mortality might be inaccurate. We aimed to evaluate whether the social gradient in cancer net survival observed in France could be attributable to inaccurate LT. Methods: Deprivation-specific LT were simulated, applying the social gradient in the background mortality due to external sources to the original French LT. Cancer registries’ data from a previous French study were re-analyzed using the simulated LT. Deprivation was assessed according to the European Deprivation Index (EDI). Net survival was estimated by the Pohar–Perme method and flexible excess mortality hazard models by using multidimensional penalized splines. Results: A reduction in net survival among patients living in the most-deprived areas was attenuated with simulated LT, but trends in the social gradient remained, except for prostate cancer, for which the social gradient reversed. Flexible modelling additionally showed a loss of effect of EDI upon the excess mortality hazard of esophagus, bladder and kidney cancers in men and bladder cancer in women using simulated LT. Conclusions: For most cancers the results were similar using simulated LT. However, inconsistent results, particularly for prostate cancer, highlight the need for deprivation-specific LT in order to produce accurate results.

Funder

‘Institut de Recherche en Santé Publique’

Institut National du Cancer

‘Ligue Nationale Contre le Cancer’

Santé Publique France

Publisher

MDPI AG

Subject

Cancer Research,Oncology

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