Cargando…

Socioeconomic disparities in endometrial cancer survival in Germany: a survival analysis using population-based cancer registry data

PURPOSE: Area-based socioeconomic deprivation has been established as an important indicator of health and a potential predictor of survival. In this study, we aimed to measure the effect of socioeconomic inequality on endometrial cancer survival. METHODS: Population-based data on patients diagnosed...

Descripción completa

Detalles Bibliográficos
Autores principales: Bedir, Ahmed, Abera, Semaw Ferede, Vordermark, Dirk, Medenwald, Daniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9015991/
https://www.ncbi.nlm.nih.gov/pubmed/35064816
http://dx.doi.org/10.1007/s00432-021-03908-9
_version_ 1784688431730786304
author Bedir, Ahmed
Abera, Semaw Ferede
Vordermark, Dirk
Medenwald, Daniel
author_facet Bedir, Ahmed
Abera, Semaw Ferede
Vordermark, Dirk
Medenwald, Daniel
author_sort Bedir, Ahmed
collection PubMed
description PURPOSE: Area-based socioeconomic deprivation has been established as an important indicator of health and a potential predictor of survival. In this study, we aimed to measure the effect of socioeconomic inequality on endometrial cancer survival. METHODS: Population-based data on patients diagnosed with endometrial cancer between 2004 and 2014 were obtained from the German Centre for Cancer Registry Data. Socioeconomic inequality was defined by the German Index of Socioeconomic Deprivation. We investigated the association of deprivation and overall survival through Kaplan–Meier curves and Cox proportional regression models. RESULTS: A total of 21,602 women, with a mean age of 67.8 years, were included in our analysis. The observed 5-year overall survival time for endometrial cancer patients living in the most affluent districts (first quintile) was 78.6%. The overall survival rate decreased as the level of deprivation increased (77.2%, 73.9%, 76.1%, 74.7%, for patients in the second, third, fourth, and fifth quintile (most deprived patients), respectively). Cox regression models showed stage I patients living in the most deprived districts to have a higher hazard of overall mortality when compared to the cases living in the most affluent districts [Hazard ratio: 1.20; 95% Confidence interval (0.99–1.47)] after adjusting for age, tumor characteristics, and treatment. CONCLUSION: Our results indicate differences in endometrial cancer survival according to socioeconomic deprivation among stage I patients. Considering data limitations, future studies with access to individual-level patient information should be conducted to examine the underlying causes for the observed disparity in cancer survival. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00432-021-03908-9.
format Online
Article
Text
id pubmed-9015991
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Springer Berlin Heidelberg
record_format MEDLINE/PubMed
spelling pubmed-90159912022-05-02 Socioeconomic disparities in endometrial cancer survival in Germany: a survival analysis using population-based cancer registry data Bedir, Ahmed Abera, Semaw Ferede Vordermark, Dirk Medenwald, Daniel J Cancer Res Clin Oncol Original Article – Cancer Research PURPOSE: Area-based socioeconomic deprivation has been established as an important indicator of health and a potential predictor of survival. In this study, we aimed to measure the effect of socioeconomic inequality on endometrial cancer survival. METHODS: Population-based data on patients diagnosed with endometrial cancer between 2004 and 2014 were obtained from the German Centre for Cancer Registry Data. Socioeconomic inequality was defined by the German Index of Socioeconomic Deprivation. We investigated the association of deprivation and overall survival through Kaplan–Meier curves and Cox proportional regression models. RESULTS: A total of 21,602 women, with a mean age of 67.8 years, were included in our analysis. The observed 5-year overall survival time for endometrial cancer patients living in the most affluent districts (first quintile) was 78.6%. The overall survival rate decreased as the level of deprivation increased (77.2%, 73.9%, 76.1%, 74.7%, for patients in the second, third, fourth, and fifth quintile (most deprived patients), respectively). Cox regression models showed stage I patients living in the most deprived districts to have a higher hazard of overall mortality when compared to the cases living in the most affluent districts [Hazard ratio: 1.20; 95% Confidence interval (0.99–1.47)] after adjusting for age, tumor characteristics, and treatment. CONCLUSION: Our results indicate differences in endometrial cancer survival according to socioeconomic deprivation among stage I patients. Considering data limitations, future studies with access to individual-level patient information should be conducted to examine the underlying causes for the observed disparity in cancer survival. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00432-021-03908-9. Springer Berlin Heidelberg 2022-01-22 2022 /pmc/articles/PMC9015991/ /pubmed/35064816 http://dx.doi.org/10.1007/s00432-021-03908-9 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Article – Cancer Research
Bedir, Ahmed
Abera, Semaw Ferede
Vordermark, Dirk
Medenwald, Daniel
Socioeconomic disparities in endometrial cancer survival in Germany: a survival analysis using population-based cancer registry data
title Socioeconomic disparities in endometrial cancer survival in Germany: a survival analysis using population-based cancer registry data
title_full Socioeconomic disparities in endometrial cancer survival in Germany: a survival analysis using population-based cancer registry data
title_fullStr Socioeconomic disparities in endometrial cancer survival in Germany: a survival analysis using population-based cancer registry data
title_full_unstemmed Socioeconomic disparities in endometrial cancer survival in Germany: a survival analysis using population-based cancer registry data
title_short Socioeconomic disparities in endometrial cancer survival in Germany: a survival analysis using population-based cancer registry data
title_sort socioeconomic disparities in endometrial cancer survival in germany: a survival analysis using population-based cancer registry data
topic Original Article – Cancer Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9015991/
https://www.ncbi.nlm.nih.gov/pubmed/35064816
http://dx.doi.org/10.1007/s00432-021-03908-9
work_keys_str_mv AT bedirahmed socioeconomicdisparitiesinendometrialcancersurvivalingermanyasurvivalanalysisusingpopulationbasedcancerregistrydata
AT aberasemawferede socioeconomicdisparitiesinendometrialcancersurvivalingermanyasurvivalanalysisusingpopulationbasedcancerregistrydata
AT vordermarkdirk socioeconomicdisparitiesinendometrialcancersurvivalingermanyasurvivalanalysisusingpopulationbasedcancerregistrydata
AT medenwalddaniel socioeconomicdisparitiesinendometrialcancersurvivalingermanyasurvivalanalysisusingpopulationbasedcancerregistrydata