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Socio-economic inequalities in cancer survival: how do they translate into Number of Life-Years Lost?
BACKGROUND: We aimed to investigate the impact of socio-economic inequalities in cancer survival in England on the Number of Life-Years Lost (NLYL) due to cancer. METHODS: We analysed 1.2 million patients diagnosed with one of the 23 most common cancers (92.3% of all incident cancers in England) bet...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9090931/ https://www.ncbi.nlm.nih.gov/pubmed/35149855 http://dx.doi.org/10.1038/s41416-022-01720-x |
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author | Exarchakou, Aimilia Kipourou, Dimitra-Kleio Belot, Aurélien Rachet, Bernard |
author_facet | Exarchakou, Aimilia Kipourou, Dimitra-Kleio Belot, Aurélien Rachet, Bernard |
author_sort | Exarchakou, Aimilia |
collection | PubMed |
description | BACKGROUND: We aimed to investigate the impact of socio-economic inequalities in cancer survival in England on the Number of Life-Years Lost (NLYL) due to cancer. METHODS: We analysed 1.2 million patients diagnosed with one of the 23 most common cancers (92.3% of all incident cancers in England) between 2010 and 2014. Socio-economic deprivation of patients was based on the income domain of the English Index of Deprivation. We estimated the NLYL due to cancer within 3 years since diagnosis for each cancer and stratified by sex, age and deprivation, using a non-parametric approach. The relative survival framework enables us to disentangle death from cancer and death from other causes without the information on the cause of death. RESULTS: The largest socio-economic inequalities were seen mostly in adults <45 years with poor-prognosis cancers. In this age group, the most deprived patients with lung, pancreatic and oesophageal cancer lost up to 6 additional months within 3 years since diagnosis than the least deprived. For most moderate/good prognosis cancers, the socio-economic inequalities widened with age. CONCLUSIONS: More deprived patients and particularly the young with more lethal cancers, lose systematically more life-years than the less deprived. To reduce these inequalities, cancer policies should systematically encompass the inequities component. |
format | Online Article Text |
id | pubmed-9090931 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-90909312022-05-12 Socio-economic inequalities in cancer survival: how do they translate into Number of Life-Years Lost? Exarchakou, Aimilia Kipourou, Dimitra-Kleio Belot, Aurélien Rachet, Bernard Br J Cancer Article BACKGROUND: We aimed to investigate the impact of socio-economic inequalities in cancer survival in England on the Number of Life-Years Lost (NLYL) due to cancer. METHODS: We analysed 1.2 million patients diagnosed with one of the 23 most common cancers (92.3% of all incident cancers in England) between 2010 and 2014. Socio-economic deprivation of patients was based on the income domain of the English Index of Deprivation. We estimated the NLYL due to cancer within 3 years since diagnosis for each cancer and stratified by sex, age and deprivation, using a non-parametric approach. The relative survival framework enables us to disentangle death from cancer and death from other causes without the information on the cause of death. RESULTS: The largest socio-economic inequalities were seen mostly in adults <45 years with poor-prognosis cancers. In this age group, the most deprived patients with lung, pancreatic and oesophageal cancer lost up to 6 additional months within 3 years since diagnosis than the least deprived. For most moderate/good prognosis cancers, the socio-economic inequalities widened with age. CONCLUSIONS: More deprived patients and particularly the young with more lethal cancers, lose systematically more life-years than the less deprived. To reduce these inequalities, cancer policies should systematically encompass the inequities component. Nature Publishing Group UK 2022-02-11 2022-06-01 /pmc/articles/PMC9090931/ /pubmed/35149855 http://dx.doi.org/10.1038/s41416-022-01720-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Exarchakou, Aimilia Kipourou, Dimitra-Kleio Belot, Aurélien Rachet, Bernard Socio-economic inequalities in cancer survival: how do they translate into Number of Life-Years Lost? |
title | Socio-economic inequalities in cancer survival: how do they translate into Number of Life-Years Lost? |
title_full | Socio-economic inequalities in cancer survival: how do they translate into Number of Life-Years Lost? |
title_fullStr | Socio-economic inequalities in cancer survival: how do they translate into Number of Life-Years Lost? |
title_full_unstemmed | Socio-economic inequalities in cancer survival: how do they translate into Number of Life-Years Lost? |
title_short | Socio-economic inequalities in cancer survival: how do they translate into Number of Life-Years Lost? |
title_sort | socio-economic inequalities in cancer survival: how do they translate into number of life-years lost? |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9090931/ https://www.ncbi.nlm.nih.gov/pubmed/35149855 http://dx.doi.org/10.1038/s41416-022-01720-x |
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