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

BACKGROUND: Describing the relationship between socioeconomic inequalities and cancer survival is important but methodologically challenging. We propose guidelines for addressing these challenges and illustrate their implementation on French population-based data. METHODS: We analyzed 17 cancers. So...

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Autores principales: Belot, Aurélien, Remontet, Laurent, Rachet, Bernard, Dejardin, Olivier, Charvat, Hadrien, Bara, Simona, Guizard, Anne-Valérie, Roche, Laurent, Launoy, Guy, Bossard, Nadine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove Medical Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5961638/
https://www.ncbi.nlm.nih.gov/pubmed/29844706
http://dx.doi.org/10.2147/CLEP.S150848
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author Belot, Aurélien
Remontet, Laurent
Rachet, Bernard
Dejardin, Olivier
Charvat, Hadrien
Bara, Simona
Guizard, Anne-Valérie
Roche, Laurent
Launoy, Guy
Bossard, Nadine
author_facet Belot, Aurélien
Remontet, Laurent
Rachet, Bernard
Dejardin, Olivier
Charvat, Hadrien
Bara, Simona
Guizard, Anne-Valérie
Roche, Laurent
Launoy, Guy
Bossard, Nadine
author_sort Belot, Aurélien
collection PubMed
description BACKGROUND: Describing the relationship between socioeconomic inequalities and cancer survival is important but methodologically challenging. We propose guidelines for addressing these challenges and illustrate their implementation on French population-based data. METHODS: We analyzed 17 cancers. Socioeconomic deprivation was measured by an ecological measure, the European Deprivation Index (EDI). The Excess Mortality Hazard (EMH), ie, the mortality hazard among cancer patients after accounting for other causes of death, was modeled using a flexible parametric model, allowing for nonlinear and/or time-dependent association between the EDI and the EMH. The model included a cluster-specific random effect to deal with the hierarchical structure of the data. RESULTS: We reported the conventional age-standardized net survival (ASNS) and described the changes of the EMH over the time since diagnosis at different levels of deprivation. We illustrated nonlinear and/or time-dependent associations between the EDI and the EMH by plotting the excess hazard ratio according to EDI values at different times after diagnosis. The median excess hazard ratio quantified the general contextual effect. Lip–oral cavity–pharynx cancer in men showed the widest deprivation gap, with 5-year ASNS at 41% and 29% for deprivation quintiles 1 and 5, respectively, and we found a nonlinear association between the EDI and the EMH. The EDI accounted for a substantial part of the general contextual effect on the EMH. The association between the EDI and the EMH was time dependent in stomach and pancreas cancers in men and in cervix cancer. CONCLUSION: The methodological guidelines proved efficient in describing the way socioeconomic inequalities influence cancer survival. Their use would allow comparisons between different health care systems.
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spelling pubmed-59616382018-05-29 Describing the association between socioeconomic inequalities and cancer survival: methodological guidelines and illustration with population-based data Belot, Aurélien Remontet, Laurent Rachet, Bernard Dejardin, Olivier Charvat, Hadrien Bara, Simona Guizard, Anne-Valérie Roche, Laurent Launoy, Guy Bossard, Nadine Clin Epidemiol Original Research BACKGROUND: Describing the relationship between socioeconomic inequalities and cancer survival is important but methodologically challenging. We propose guidelines for addressing these challenges and illustrate their implementation on French population-based data. METHODS: We analyzed 17 cancers. Socioeconomic deprivation was measured by an ecological measure, the European Deprivation Index (EDI). The Excess Mortality Hazard (EMH), ie, the mortality hazard among cancer patients after accounting for other causes of death, was modeled using a flexible parametric model, allowing for nonlinear and/or time-dependent association between the EDI and the EMH. The model included a cluster-specific random effect to deal with the hierarchical structure of the data. RESULTS: We reported the conventional age-standardized net survival (ASNS) and described the changes of the EMH over the time since diagnosis at different levels of deprivation. We illustrated nonlinear and/or time-dependent associations between the EDI and the EMH by plotting the excess hazard ratio according to EDI values at different times after diagnosis. The median excess hazard ratio quantified the general contextual effect. Lip–oral cavity–pharynx cancer in men showed the widest deprivation gap, with 5-year ASNS at 41% and 29% for deprivation quintiles 1 and 5, respectively, and we found a nonlinear association between the EDI and the EMH. The EDI accounted for a substantial part of the general contextual effect on the EMH. The association between the EDI and the EMH was time dependent in stomach and pancreas cancers in men and in cervix cancer. CONCLUSION: The methodological guidelines proved efficient in describing the way socioeconomic inequalities influence cancer survival. Their use would allow comparisons between different health care systems. Dove Medical Press 2018-05-17 /pmc/articles/PMC5961638/ /pubmed/29844706 http://dx.doi.org/10.2147/CLEP.S150848 Text en © 2018 Belot et al. This work is published by Dove Medical Press Limited, and licensed under a Creative Commons Attribution License The full terms of the License are available at http://creativecommons.org/licenses/by/4.0/. The license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Original Research
Belot, Aurélien
Remontet, Laurent
Rachet, Bernard
Dejardin, Olivier
Charvat, Hadrien
Bara, Simona
Guizard, Anne-Valérie
Roche, Laurent
Launoy, Guy
Bossard, Nadine
Describing the association between socioeconomic inequalities and cancer survival: methodological guidelines and illustration with population-based data
title Describing the association between socioeconomic inequalities and cancer survival: methodological guidelines and illustration with population-based data
title_full Describing the association between socioeconomic inequalities and cancer survival: methodological guidelines and illustration with population-based data
title_fullStr Describing the association between socioeconomic inequalities and cancer survival: methodological guidelines and illustration with population-based data
title_full_unstemmed Describing the association between socioeconomic inequalities and cancer survival: methodological guidelines and illustration with population-based data
title_short Describing the association between socioeconomic inequalities and cancer survival: methodological guidelines and illustration with population-based data
title_sort describing the association between socioeconomic inequalities and cancer survival: methodological guidelines and illustration with population-based data
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5961638/
https://www.ncbi.nlm.nih.gov/pubmed/29844706
http://dx.doi.org/10.2147/CLEP.S150848
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