Marie Poiseuil1, Gaëlle Coureau2, Catherine Payet3, Marianne Savès4, Marc Debled5, Simone Mathoulin-Pelissier6, Brice Amadeo7. 1. Univ. Bordeaux, Gironde General Cancer Registry, 33000, Bordeaux, France; Inserm, Bordeaux Population Health, Research Center U1219, Team Epicene, 33000, Bordeaux, France; Univ. Bordeaux, ISPED, 33000, Bordeaux, France. Electronic address: marie.poiseuil@u-bordeaux.fr. 2. Univ. Bordeaux, Gironde General Cancer Registry, 33000, Bordeaux, France; Inserm, Bordeaux Population Health, Research Center U1219, Team Epicene, 33000, Bordeaux, France; Univ. Bordeaux, ISPED, 33000, Bordeaux, France; Medical Information Service, Public Health Department, Bordeaux University Hospital, 33000, Bordeaux, France. Electronic address: gaelle.coureau@u-bordeaux.fr. 3. Gironde Screening Coordination Structure, 33700, Mérignac, France. Electronic address: catherine.payet@agideca.fr. 4. Univ. Bordeaux, ISPED, 33000, Bordeaux, France; Medical Information Service, Public Health Department, Bordeaux University Hospital, 33000, Bordeaux, France. Electronic address: marianne.saves@u-bordeaux.fr. 5. Department of Medical Oncology, Institut Bergonié, 33000, Bordeaux, France. Electronic address: M.Debled@bordeaux.unicancer.fr. 6. Inserm, Bordeaux Population Health, Research Center U1219, Team Epicene, 33000, Bordeaux, France; Univ. Bordeaux, ISPED, 33000, Bordeaux, France; Clinical Investigation Center and Clinical Epidemiology, Inserm CIC1401, Institut Bergonié, 33000, Bordeaux, France. Electronic address: simone.pelissier@u-bordeaux.fr. 7. Univ. Bordeaux, Gironde General Cancer Registry, 33000, Bordeaux, France; Inserm, Bordeaux Population Health, Research Center U1219, Team Epicene, 33000, Bordeaux, France; Univ. Bordeaux, ISPED, 33000, Bordeaux, France. Electronic address: brice.amadeo@u-bordeaux.fr.
Abstract
BACKGROUND: Some studies have investigated the role of socio-demographic inequalities in the association between screening and survival. However, in France, no study has been conducted to describe the socio-demographic characteristics and survival of women with breast cancer based on their participation to mass screening. The aim of this study was to assess the impact of socio-demographic inequalities on the association between participation in mass screening program and survival of women with breast cancer. METHODS: Data for 2,244 women aged 50-74 years diagnosed with breast cancer over the period 2008-2010 were obtained from the cancer registry and the screening structure of Gironde. We used the aggregated European Deprivation Index (EDI) to define the deprivation level of women. Net survival rates were estimated with the Pohar-Perme method, with and without correcting for lead-time bias. RESULTS: Survival rates were lower for non-attenders than for screen-detected women (83.8% vs 97.3%, p < 0.0001), even after correcting for lead-time bias. Among the most deprived women, the survival rate was significantly different between non-attenders and screen-detected women (78.1% vs 95.6%, p = 0.0002), suggesting an important effect of mass screening in this group. CONCLUSION: The introduction of incentive actions in deprived areas could play a key role in the adherence of women to mass screening and in improving their survival in case of a breast cancer diagnosis.
BACKGROUND: Some studies have investigated the role of socio-demographic inequalities in the association between screening and survival. However, in France, no study has been conducted to describe the socio-demographic characteristics and survival of women with breast cancer based on their participation to mass screening. The aim of this study was to assess the impact of socio-demographic inequalities on the association between participation in mass screening program and survival of women with breast cancer. METHODS: Data for 2,244 women aged 50-74 years diagnosed with breast cancer over the period 2008-2010 were obtained from the cancer registry and the screening structure of Gironde. We used the aggregated European Deprivation Index (EDI) to define the deprivation level of women. Net survival rates were estimated with the Pohar-Perme method, with and without correcting for lead-time bias. RESULTS: Survival rates were lower for non-attenders than for screen-detected women (83.8% vs 97.3%, p < 0.0001), even after correcting for lead-time bias. Among the most deprived women, the survival rate was significantly different between non-attenders and screen-detected women (78.1% vs 95.6%, p = 0.0002), suggesting an important effect of mass screening in this group. CONCLUSION: The introduction of incentive actions in deprived areas could play a key role in the adherence of women to mass screening and in improving their survival in case of a breast cancer diagnosis.
Authors: László Tabár; Tony Hsiu-Hsi Chen; Amy Ming-Fang Yen; Peter B Dean; Robert A Smith; Håkan Jonsson; Sven Törnberg; Sam Li-Sheng Chen; Sherry Yueh-Hsia Chiu; Jean Ching-Yuan Fann; May Mei-Sheng Ku; Wendy Yi-Ying Wu; Chen-Yang Hsu; Yu-Ching Chen; Gunilla Svane; Edward Azavedo; Helene Grundström; Per Sundén; Karin Leifland; Ewa Frodis; Joakim Ramos; Birgitta Epstein; Anders Åkerlund; Ann Sundbom; Pál Bordás; Hans Wallin; Leena Starck; Annika Björkgren; Stina Carlson; Irma Fredriksson; Johan Ahlgren; Daniel Öhman; Lars Holmberg; Stephen W Duffy Journal: J Med Screen Date: 2020-05-05 Impact factor: 2.136