Literature DB >> 25435402

Understanding the impact of socioeconomic differences in breast cancer survival in England and Wales: avoidable deaths and potential gain in expectation of life.

M J Rutherford1, T M-L Andersson2, H Møller3, P C Lambert4.   

Abstract

BACKGROUND: Socioeconomic differences in cancer patient survival are known to exist for women diagnosed with breast cancer. Standard metrics tend not to place great emphasis on evaluating the actual impact of these differences.
METHODS: We used two alternative, but related, methods of reporting the impact of socioeconomic differences for breast cancer patients in England and Wales. We calculated the average gain in life years for each patient should socioeconomic differences in relative survival be removed and show how this is related to the number of all-cause deaths that could be postponed by removing socioeconomic differences in cancer patient survival.
RESULTS: Our results indicate that deprivation differences for women with breast cancer exist and result in women from more deprived areas losing a larger proportion of their life due to a diagnosis of cancer. We also estimate that on average 1.1 years could be gained for a 60 year old breast cancer patient in the most deprived group by improving their relative survival to match the least deprived group. However, our results also show that deprivation differences in general survival have a large impact on life expectancy; showing that over two-thirds of the gap in differential life expectancy is explained by differences in other-cause survival.
CONCLUSION: Socioeconomic differences in relative survival have an impact on life expectancy for patients and result in higher early mortality for more deprived patients. However, differences in general survival across socioeconomic groups explain a larger proportion of the deprivation gap in life expectancy for breast cancer patients.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Avoidable deaths; Life expectancy; Relative survival; Socioeconomic differences

Mesh:

Year:  2014        PMID: 25435402     DOI: 10.1016/j.canep.2014.11.002

Source DB:  PubMed          Journal:  Cancer Epidemiol        ISSN: 1877-7821            Impact factor:   2.984


  5 in total

1.  Understanding disparities in cancer prognosis: An extension of mediation analysis to the relative survival framework.

Authors:  Elisavet Syriopoulou; Mark J Rutherford; Paul C Lambert
Journal:  Biom J       Date:  2020-12-14       Impact factor: 2.207

2.  Quantifying the number of deaths among Aboriginal and Torres Strait Islander cancer patients that could be avoided by removing survival inequalities, Australia 2005-2016.

Authors:  Paramita Dasgupta; Gail Garvey; Peter D Baade
Journal:  PLoS One       Date:  2022-08-26       Impact factor: 3.752

3.  Estimating the impact of a cancer diagnosis on life expectancy by socio-economic group for a range of cancer types in England.

Authors:  Elisavet Syriopoulou; Hannah Bower; Therese M-L Andersson; Paul C Lambert; Mark J Rutherford
Journal:  Br J Cancer       Date:  2017-09-12       Impact factor: 7.640

4.  The respective parts of incidence and lethality in socioeconomic differences in cancer mortality. An analysis of the French network Cancer registries (FRANCIM) data.

Authors:  Joséphine Bryere; Laure Tron; Gwenn Menvielle; Guy Launoy
Journal:  Int J Equity Health       Date:  2019-12-03

5.  Marginal measures and causal effects using the relative survival framework.

Authors:  Elisavet Syriopoulou; Mark J Rutherford; Paul C Lambert
Journal:  Int J Epidemiol       Date:  2020-04-01       Impact factor: 7.196

  5 in total

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