Literature DB >> 23595777

How much of the deprivation gap in cancer survival can be explained by variation in stage at diagnosis: an example from breast cancer in the East of England.

M J Rutherford1, S R Hinchliffe, G A Abel, G Lyratzopoulos, P C Lambert, D C Greenberg.   

Abstract

Socioeconomic differences in cancer patient survival exist in many countries and across cancer sites. In our article, we estimated the number of deaths in women with breast cancer that could be avoided within 5 years from diagnosis if it were possible to eliminate socioeconomic differences in stage at diagnosis. We analysed data on East of England women with breast cancer (2006-2010). We estimated survival for different stage-age-deprivation strata using both the observed and a hypothetical stage distribution (assuming all women acquired the stage distribution of the most affluent women). Data were analysed on 20,738 women with complete stage information (92%). Affluent women were less likely to be diagnosed in advanced stage. Relative survival decreased with increasing level of deprivation. Eliminating differences in stage at diagnosis could be expected to nearly eliminate differences in relative survival for women in deprivation groups 3 and 4, but would only approximately halve the difference in relative survival for women in the most deprived group (5). This means, for a typical cohort of women diagnosed in a calendar year with breast cancer, eliminating deprivation differences in stage at diagnosis would prevent ∼40 deaths in the East of England from occurring within 5 years from diagnosis. Using appropriate weighting we estimated the respective number of avoidable deaths for the whole of England to be ∼450. The findings suggest that policies aimed at reducing inequalities in stage at diagnosis between women with breast cancer are important to reduce inequalities in breast cancer survival.
Copyright © 2013 UICC.

Entities:  

Keywords:  avoidable deaths; excess mortality models; relative survival; socioeconomic differences

Mesh:

Year:  2013        PMID: 23595777     DOI: 10.1002/ijc.28221

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.396


  17 in total

1.  Influence of geographic access and socioeconomic characteristics on breast cancer outcomes: A systematic review.

Authors:  Benoit Conti; Audrey Bochaton; Hélène Charreire; Hélène Kitzis-Bonsang; Caroline Desprès; Sandrine Baffert; Charlotte Ngô
Journal:  PLoS One       Date:  2022-07-19       Impact factor: 3.752

2.  Socio-economic disparities in long-term cancer survival-10 year follow-up with individual patient data.

Authors:  Susanne Singer; Michael Bartels; Susanne Briest; Jens Einenkel; Dietger Niederwieser; Kirsten Papsdorf; Jens-Uwe Stolzenburg; Sophie Künstler; Sabine Taubenheim; Oliver Krauß
Journal:  Support Care Cancer       Date:  2016-12-10       Impact factor: 3.603

3.  Factors Explaining Socio-Economic Inequalities in Cancer Survival: A Systematic Review.

Authors:  Nina Afshar; Dallas R English; Roger L Milne
Journal:  Cancer Control       Date:  2021 Jan-Dec       Impact factor: 3.302

4.  Primary care characteristics and stage of cancer at diagnosis using data from the national cancer registration service, quality outcomes framework and general practice information.

Authors:  Rebecca Maclean; Mona Jeffreys; Alex Ives; Tim Jones; Julia Verne; Yoav Ben-Shlomo
Journal:  BMC Cancer       Date:  2015-07-05       Impact factor: 4.430

5.  The association of waiting times from diagnosis to surgery with survival in women with localised breast cancer in England.

Authors:  M T Redaniel; R M Martin; S Cawthorn; J Wade; M Jeffreys
Journal:  Br J Cancer       Date:  2013-06-25       Impact factor: 7.640

6.  Estimating the potential survival gains by eliminating socioeconomic and sex inequalities in stage at diagnosis of melanoma.

Authors:  M J Rutherford; L Ironmonger; N Ormiston-Smith; G A Abel; D C Greenberg; G Lyratzopoulos; P C Lambert
Journal:  Br J Cancer       Date:  2015-03-31       Impact factor: 7.640

7.  Socioeconomic inequalities in attitudes towards cancer: an international cancer benchmarking partnership study.

Authors:  Samantha L Quaife; Kelly Winstanley; Katie A Robb; Alice E Simon; Amanda J Ramirez; Lindsay J L Forbes; Kate E Brain; Anna Gavin; Jane Wardle
Journal:  Eur J Cancer Prev       Date:  2015-05       Impact factor: 2.497

8.  The impact of eliminating age inequalities in stage at diagnosis on breast cancer survival for older women.

Authors:  M J Rutherford; G A Abel; D C Greenberg; P C Lambert; G Lyratzopoulos
Journal:  Br J Cancer       Date:  2015-03-31       Impact factor: 7.640

9.  How much do tumor stage and treatment explain socioeconomic inequalities in breast cancer survival? Applying causal mediation analysis to population-based data.

Authors:  Ruoran Li; Rhian Daniel; Bernard Rachet
Journal:  Eur J Epidemiol       Date:  2016-05-10       Impact factor: 8.082

10.  Typical and atypical presenting symptoms of breast cancer and their associations with diagnostic intervals: Evidence from a national audit of cancer diagnosis.

Authors:  Minjoung Monica Koo; Christian von Wagner; Gary A Abel; Sean McPhail; Greg P Rubin; Georgios Lyratzopoulos
Journal:  Cancer Epidemiol       Date:  2017-05-23       Impact factor: 2.984

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