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Differences between rural and urban prostate cancer patients
BACKGROUND: We hypothesized that the residency status (rural area [RA] vs urban clusters [UC] vs urban areas [UA]) affects stage and cancer-specific mortality (CSM) in contemporary newly diagnosed prostate cancer (PCa) patients of all stages, regardless of treatment. METHODS: Newly diagnosed PCa pat...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8332582/ https://www.ncbi.nlm.nih.gov/pubmed/33155063 http://dx.doi.org/10.1007/s00345-020-03483-7 |
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author | Stolzenbach, Lara Franziska Deuker, Marina Collà-Ruvolo, Claudia Nocera, Luigi Tian, Zhe Maurer, Tobias Tilki, Derya Briganti, Alberto Saad, Fred Mirone, Vincenzo Chun, Felix K. H. Graefen, Markus Karakiewicz, Pierre I. |
author_facet | Stolzenbach, Lara Franziska Deuker, Marina Collà-Ruvolo, Claudia Nocera, Luigi Tian, Zhe Maurer, Tobias Tilki, Derya Briganti, Alberto Saad, Fred Mirone, Vincenzo Chun, Felix K. H. Graefen, Markus Karakiewicz, Pierre I. |
author_sort | Stolzenbach, Lara Franziska |
collection | PubMed |
description | BACKGROUND: We hypothesized that the residency status (rural area [RA] vs urban clusters [UC] vs urban areas [UA]) affects stage and cancer-specific mortality (CSM) in contemporary newly diagnosed prostate cancer (PCa) patients of all stages, regardless of treatment. METHODS: Newly diagnosed PCa patients with available residency status were abstracted from the Surveillance, Epidemiology, and End Results database (2004–2016). Propensity-score (PS) matching, cumulative incidence plots, multivariate competing-risks regression (CRR) models were used. RESULTS: Of 531,468 PCa patients of all stages, 6653 (1.3%) resided in RA, 50,932 (9.6%) in UC and 473,883 (89.2%) in UA. No statistically significant or clinically meaningful differences in stage at presentation or CSM were recorded. Conversely, 10-year other cause-mortality (OCM) rates were 27.2% vs 23.7% vs 18.9% (p < 0.001) in RA vs UC vs UA patients, respectively. In CRR models, RA (subhazard ratio [SHR] 1.38; p < 0.001) and UC (SHR 1.18; p < 0.001) were independent predictors for higher OCM relative to UA. These differences remained statistically significant in fully PS-adjusted multivariate CRR models. CONCLUSION: RA, and to a lesser extent UC, PCa patients are at higher risk of OCM than UA patients. Higher OCM may indicate shorter life expectancy and should be considered in treatment decision making. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00345-020-03483-7) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-8332582 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-83325822021-08-20 Differences between rural and urban prostate cancer patients Stolzenbach, Lara Franziska Deuker, Marina Collà-Ruvolo, Claudia Nocera, Luigi Tian, Zhe Maurer, Tobias Tilki, Derya Briganti, Alberto Saad, Fred Mirone, Vincenzo Chun, Felix K. H. Graefen, Markus Karakiewicz, Pierre I. World J Urol Original Article BACKGROUND: We hypothesized that the residency status (rural area [RA] vs urban clusters [UC] vs urban areas [UA]) affects stage and cancer-specific mortality (CSM) in contemporary newly diagnosed prostate cancer (PCa) patients of all stages, regardless of treatment. METHODS: Newly diagnosed PCa patients with available residency status were abstracted from the Surveillance, Epidemiology, and End Results database (2004–2016). Propensity-score (PS) matching, cumulative incidence plots, multivariate competing-risks regression (CRR) models were used. RESULTS: Of 531,468 PCa patients of all stages, 6653 (1.3%) resided in RA, 50,932 (9.6%) in UC and 473,883 (89.2%) in UA. No statistically significant or clinically meaningful differences in stage at presentation or CSM were recorded. Conversely, 10-year other cause-mortality (OCM) rates were 27.2% vs 23.7% vs 18.9% (p < 0.001) in RA vs UC vs UA patients, respectively. In CRR models, RA (subhazard ratio [SHR] 1.38; p < 0.001) and UC (SHR 1.18; p < 0.001) were independent predictors for higher OCM relative to UA. These differences remained statistically significant in fully PS-adjusted multivariate CRR models. CONCLUSION: RA, and to a lesser extent UC, PCa patients are at higher risk of OCM than UA patients. Higher OCM may indicate shorter life expectancy and should be considered in treatment decision making. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00345-020-03483-7) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2020-11-05 2021 /pmc/articles/PMC8332582/ /pubmed/33155063 http://dx.doi.org/10.1007/s00345-020-03483-7 Text en © The Author(s) 2020 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 Stolzenbach, Lara Franziska Deuker, Marina Collà-Ruvolo, Claudia Nocera, Luigi Tian, Zhe Maurer, Tobias Tilki, Derya Briganti, Alberto Saad, Fred Mirone, Vincenzo Chun, Felix K. H. Graefen, Markus Karakiewicz, Pierre I. Differences between rural and urban prostate cancer patients |
title | Differences between rural and urban prostate cancer patients |
title_full | Differences between rural and urban prostate cancer patients |
title_fullStr | Differences between rural and urban prostate cancer patients |
title_full_unstemmed | Differences between rural and urban prostate cancer patients |
title_short | Differences between rural and urban prostate cancer patients |
title_sort | differences between rural and urban prostate cancer patients |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8332582/ https://www.ncbi.nlm.nih.gov/pubmed/33155063 http://dx.doi.org/10.1007/s00345-020-03483-7 |
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