Literature DB >> 25829506

Age-related socio-economic and geographic disparities in breast cancer stage at diagnosis: a population-based study.

Pegdwende O Dialla1, Patrick Arveux2, Samiratou Ouedraogo2, Carole Pornet3, Aurélie Bertaut2, Patrick Roignot4, Philippe Janoray5, Marie-Laure Poillot2, Valérie Quipourt6, Tienhan S Dabakuyo-Yonli7.   

Abstract

BACKGROUND: This study aimed to determine the impact of socio-economic and geographic disparities on disease stage at diagnosis according to age in breast cancer (BC) patients. Secondary purpose was to describe survival
METHODS: All women with primary invasive BC, diagnosed from 1998 to 2009 in the department of Côte d'Or were retrospectively selected using data from the Côte d'Or BC registry. European transnational ecological deprivation index (French European Deprivation Index) was used to measure the socio-economic environment. Relationships between socio-geographic deprivation and disease stage at diagnosis according to age were assessed by a multilevel ordered logistic regression model. Relative survival rates (RSRs) were given at 5 years according to tumour and patients characteristics.
RESULTS: In total, 4364 women were included. In multivariable analysis, socio-economic deprivation was associated with disease stage at diagnosis. Women aged between 50 and 74 years and living in deprived areas were more often diagnosed with advanced tumour stages (stages II/III vs. I or stages IV vs. II/III) with odds ratio = 1.27 (1.01-1.60). RSRs were lowest in women living in the most deprived area compared with those living in most affluent area with RSR = 88.4% (85.9-90.4) and 92.6% (90.5-94.2), respectively.
CONCLUSIONS: Socio-economic factors affected tumour stage at diagnosis and survival. Living in a deprived area was linked to advanced-stage BC at diagnosis only in women aged 50-74 years. This is probably due to the socio-economic disparities in participation in organized BC screening programmes. Furthermore, living in deprived area was associated with a poor survival rate.
© The Author 2015. Published by Oxford University Press on behalf of the European Public Health Association. All rights reserved.

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Year:  2015        PMID: 25829506     DOI: 10.1093/eurpub/ckv049

Source DB:  PubMed          Journal:  Eur J Public Health        ISSN: 1101-1262            Impact factor:   3.367


  6 in total

Review 1.  Understanding the effects of socioeconomic status along the breast cancer continuum in Australian women: a systematic review of evidence.

Authors:  Greg Lyle; Gilly A Hendrie; Delia Hendrie
Journal:  Int J Equity Health       Date:  2017-10-16

2.  Describing the association between socioeconomic inequalities and cancer survival: methodological guidelines and illustration with population-based data.

Authors:  Aurélien Belot; Laurent Remontet; Bernard Rachet; Olivier Dejardin; Hadrien Charvat; Simona Bara; Anne-Valérie Guizard; Laurent Roche; Guy Launoy; Nadine Bossard
Journal:  Clin Epidemiol       Date:  2018-05-17       Impact factor: 4.790

3.  Does mammogram attendance influence participation in cervical and colorectal cancer screening? A prospective study among 1856 French women.

Authors:  Aurélie Bertaut; Julien Coudert; Leila Bengrine; Vincent Dancourt; Christine Binquet; Serge Douvier
Journal:  PLoS One       Date:  2018-06-21       Impact factor: 3.240

4.  Are social inequalities in acute myeloid leukemia survival explained by differences in treatment utilization? Results from a French longitudinal observational study among older patients.

Authors:  Eloïse Berger; Cyrille Delpierre; Fabien Despas; Sarah Bertoli; Emilie Bérard; Oriane Bombarde; Pierre Bories; Audrey Sarry; Guy Laurent; Christian Récher; Sébastien Lamy
Journal:  BMC Cancer       Date:  2019-09-05       Impact factor: 4.430

5.  Geographic Inequalities in Breast Cancer in Italy: Trend Analysis of Mortality and Risk Factors.

Authors:  Paolo Giorgi Rossi; Olivera Djuric; Simone Navarra; Alessandra Rossi; Anteo Di Napoli; Luisa Frova; Alessio Petrelli
Journal:  Int J Environ Res Public Health       Date:  2020-06-11       Impact factor: 3.390

6.  Is a Patient's Current Address of Record a Reasonable Measure of Neighborhood Deprivation Exposure? A Case for the Use of Point in Time Measures of Residence in Clinical Care.

Authors:  Andrew J Knighton
Journal:  Health Equity       Date:  2018-05-01
  6 in total

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