Deprivation and mass screening: Survival of women diagnosed with breast cancer in France from 2008 to 2010

被引:15
作者
Poiseuil, Marie [1 ,2 ,3 ]
Coureau, Gaelle [1 ,2 ,3 ,4 ]
Payet, Catherine [5 ]
Saves, Marianne [3 ,4 ]
Debled, Marc [6 ]
Mathoulin-Pelissier, Simone [2 ,3 ,7 ,8 ]
Amadeo, Brice [1 ,2 ,3 ]
机构
[1] Univ Bordeaux, Gironde Gen Canc Registry, F-33000 Bordeaux, France
[2] INSERM, Bordeaux Populat Hlth, Res Ctr U1219, Team Epicene, F-33000 Bordeaux, France
[3] Univ Bordeaux, ISPED, F-33000 Bordeaux, France
[4] Bordeaux Univ Hosp, Publ Hlth Dept, Med Informat Serv, F-33000 Bordeaux, France
[5] Gironde Screening Coordinat Struct, F-33700 Merignac, France
[6] Inst Bergonie, Dept Med Oncol, F-33000 Bordeaux, France
[7] Inst Bergonie, Clin Invest Ctr, Inserm CIC1401, F-33000 Bordeaux, France
[8] Inst Bergonie, Clin Epidemiol, Inserm CIC1401, F-33000 Bordeaux, France
关键词
Breast cancer screening; Mass screening; Socio-demographic inequalities; Net survival; Lead-time bias; WEST MIDLANDS; SOCIOECONOMIC-STATUS; LEAD TIME; POPULATION; PARTICIPATION; INEQUALITIES; IMPACT; INDEX;
D O I
10.1016/j.canep.2019.03.016
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
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.
引用
收藏
页码:149 / 155
页数:7
相关论文
共 25 条
  • [1] Explaining the difference in prognosis between screen-detected and symptomatic breast cancers
    Allgood, P. C.
    Duffy, S. W.
    Kearins, O.
    O'Sullivan, E.
    Tappenden, N.
    Wallis, M. G.
    Lawrence, G.
    [J]. BRITISH JOURNAL OF CANCER, 2011, 104 (11) : 1680 - 1685
  • [2] Area-Level Socioeconomic Position and Repeat Mammography Screening Use: Results from the 2005 National Health Interview Survey
    Dailey, Amy B.
    Brumback, Babette A.
    Livingston, Melvin D.
    Jones, Beth A.
    Curbow, Barbara A.
    Xu, Xiaohui
    [J]. CANCER EPIDEMIOLOGY BIOMARKERS & PREVENTION, 2011, 20 (11) : 2331 - 2344
  • [3] Socioeconomic and ethnic inequalities in screen-detected breast cancer in London
    Davies, Elizabeth A.
    Renshaw, Christine
    Dixon, Steve
    Moller, Henrik
    Coupland, Victoria H.
    [J]. JOURNAL OF PUBLIC HEALTH, 2013, 35 (04) : 607 - 615
  • [4] Aggressive primary treatments with favourable 5-year survival for screen-interval breast cancers
    Defossez, Gautier
    Quillet, Alexandre
    Ingrand, Pierre
    [J]. BMC CANCER, 2018, 18
  • [5] Age-related socio-economic and geographic disparities in breast cancer stage at diagnosis: a population-based study
    Dialla, Pegdwende O.
    Arveux, Patrick
    Ouedraogo, Samiratou
    Pornet, Carole
    Bertaut, Aurelie
    Roignot, Patrick
    Janoray, Philippe
    Poillot, Marie-Laure
    Quipourt, Valerie
    Dabakuyo-Yonli, Tienhan S.
    [J]. EUROPEAN JOURNAL OF PUBLIC HEALTH, 2015, 25 (06) : 966 - 972
  • [6] Correcting for lead time and length bias in estimating the effect of screen detection on cancer survival
    Duffy, Stephen W.
    Nagtegaal, Iris D.
    Wallis, Matthew
    Cafferty, Fay H.
    Houssami, Nehmat
    Warwick, Jane
    Allgood, Prue C.
    Kearins, Olive
    Tappenden, Nancy
    O'Sullivan, Emma
    Lawrence, Gill
    [J]. AMERICAN JOURNAL OF EPIDEMIOLOGY, 2008, 168 (01) : 98 - 104
  • [7] Cancer incidence and mortality worldwide: Sources, methods and major patterns in GLOBOCAN 2012
    Ferlay, Jacques
    Soerjomataram, Isabelle
    Dikshit, Rajesh
    Eser, Sultan
    Mathers, Colin
    Rebelo, Marise
    Parkin, Donald Maxwell
    Forman, David
    Bray, Freddie
    [J]. INTERNATIONAL JOURNAL OF CANCER, 2015, 136 (05) : E359 - E386
  • [8] [Jensen OM. IARC publication IARC publication], 1991, CANC REGISTRATION PR
  • [9] Associations among socioeconomic status, patterns of care and outcomes in breast cancer patients in a universal health care system: Ontario's experience
    Kumachev, Alexander
    Trudeau, Maureen E.
    Chan, Kelvin K. W.
    [J]. CANCER, 2016, 122 (06) : 893 - 898
  • [10] Screening histories of invasive breast cancers diagnosed 1989-2006 in the West Midlands, UK: variation with time and impact on 10-year survival
    Lawrence, Gill
    O'Sullivan, Emma
    Kearins, Olive
    Tappenden, Nancy
    Martin, Kate
    Wallis, Matthew
    [J]. JOURNAL OF MEDICAL SCREENING, 2009, 16 (04) : 186 - 192