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Spatial patterns in prostate Cancer-specific mortality in Pennsylvania using Pennsylvania Cancer registry data, 2004–2014
BACKGROUND: Spatial heterogeneity of prostate cancer-specific mortality in Pennsylvania remains unclear. We utilized advanced geospatial survival regressions to examine spatial variation of prostate cancer-specific mortality in PA and evaluate potential effects of individual- and county-level risk f...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7203834/ https://www.ncbi.nlm.nih.gov/pubmed/32375682 http://dx.doi.org/10.1186/s12885-020-06902-5 |
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author | Wang, Ming Wasserman, Emily Geyer, Nathaniel Carroll, Rachel M. Zhao, Shanshan Zhang, Lijun Hohl, Raymond Lengerich, Eugene J. McDonald, Alicia C. |
author_facet | Wang, Ming Wasserman, Emily Geyer, Nathaniel Carroll, Rachel M. Zhao, Shanshan Zhang, Lijun Hohl, Raymond Lengerich, Eugene J. McDonald, Alicia C. |
author_sort | Wang, Ming |
collection | PubMed |
description | BACKGROUND: Spatial heterogeneity of prostate cancer-specific mortality in Pennsylvania remains unclear. We utilized advanced geospatial survival regressions to examine spatial variation of prostate cancer-specific mortality in PA and evaluate potential effects of individual- and county-level risk factors. METHODS: Prostate cancer cases, aged ≥40 years, were identified in the 2004–2014 Pennsylvania Cancer Registry. The 2018 County Health Rankings data and the 2014 U.S. Environmental Protection Agency’s Environmental Quality Index were used to extract county-level data. The accelerated failure time models with spatial frailties for geographical correlations were used to assess prostate cancer-specific mortality rates for Pennsylvania and by the Penn State Cancer Institute (PSCI) 28-county catchment area. Secondary assessment based on estimated spatial frailties was conducted to identify potential health and environmental risk factors for mortality. RESULTS: There were 94,274 cases included. The 5-year survival rate in PA was 82% (95% confidence interval, CI: 81.1–82.8%), with the catchment area having a lower survival rate 81% (95% CI: 79.5–82.6%) compared to the non-catchment area rate of 82.3% (95% CI: 81.4–83.2%). Black men, uninsured, more aggressive prostate cancer, rural and urban Appalachia, positive lymph nodes, and no definitive treatment were associated with lower survival. Several county-level health (i.e., poor physical activity) and environmental factors in air and land (i.e., defoliate chemical applied) were associated with higher mortality rates. CONCLUSIONS: Spatial variations in prostate cancer-specific mortality rates exist in Pennsylvania with a higher risk in the PSCI’s catchment area, in particular, rural-Appalachia. County-level health and environmental factors may contribute to spatial heterogeneity in prostate cancer-specific mortality. |
format | Online Article Text |
id | pubmed-7203834 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-72038342020-05-09 Spatial patterns in prostate Cancer-specific mortality in Pennsylvania using Pennsylvania Cancer registry data, 2004–2014 Wang, Ming Wasserman, Emily Geyer, Nathaniel Carroll, Rachel M. Zhao, Shanshan Zhang, Lijun Hohl, Raymond Lengerich, Eugene J. McDonald, Alicia C. BMC Cancer Research Article BACKGROUND: Spatial heterogeneity of prostate cancer-specific mortality in Pennsylvania remains unclear. We utilized advanced geospatial survival regressions to examine spatial variation of prostate cancer-specific mortality in PA and evaluate potential effects of individual- and county-level risk factors. METHODS: Prostate cancer cases, aged ≥40 years, were identified in the 2004–2014 Pennsylvania Cancer Registry. The 2018 County Health Rankings data and the 2014 U.S. Environmental Protection Agency’s Environmental Quality Index were used to extract county-level data. The accelerated failure time models with spatial frailties for geographical correlations were used to assess prostate cancer-specific mortality rates for Pennsylvania and by the Penn State Cancer Institute (PSCI) 28-county catchment area. Secondary assessment based on estimated spatial frailties was conducted to identify potential health and environmental risk factors for mortality. RESULTS: There were 94,274 cases included. The 5-year survival rate in PA was 82% (95% confidence interval, CI: 81.1–82.8%), with the catchment area having a lower survival rate 81% (95% CI: 79.5–82.6%) compared to the non-catchment area rate of 82.3% (95% CI: 81.4–83.2%). Black men, uninsured, more aggressive prostate cancer, rural and urban Appalachia, positive lymph nodes, and no definitive treatment were associated with lower survival. Several county-level health (i.e., poor physical activity) and environmental factors in air and land (i.e., defoliate chemical applied) were associated with higher mortality rates. CONCLUSIONS: Spatial variations in prostate cancer-specific mortality rates exist in Pennsylvania with a higher risk in the PSCI’s catchment area, in particular, rural-Appalachia. County-level health and environmental factors may contribute to spatial heterogeneity in prostate cancer-specific mortality. BioMed Central 2020-05-06 /pmc/articles/PMC7203834/ /pubmed/32375682 http://dx.doi.org/10.1186/s12885-020-06902-5 Text en © The Author(s) 2020 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/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Wang, Ming Wasserman, Emily Geyer, Nathaniel Carroll, Rachel M. Zhao, Shanshan Zhang, Lijun Hohl, Raymond Lengerich, Eugene J. McDonald, Alicia C. Spatial patterns in prostate Cancer-specific mortality in Pennsylvania using Pennsylvania Cancer registry data, 2004–2014 |
title | Spatial patterns in prostate Cancer-specific mortality in Pennsylvania using Pennsylvania Cancer registry data, 2004–2014 |
title_full | Spatial patterns in prostate Cancer-specific mortality in Pennsylvania using Pennsylvania Cancer registry data, 2004–2014 |
title_fullStr | Spatial patterns in prostate Cancer-specific mortality in Pennsylvania using Pennsylvania Cancer registry data, 2004–2014 |
title_full_unstemmed | Spatial patterns in prostate Cancer-specific mortality in Pennsylvania using Pennsylvania Cancer registry data, 2004–2014 |
title_short | Spatial patterns in prostate Cancer-specific mortality in Pennsylvania using Pennsylvania Cancer registry data, 2004–2014 |
title_sort | spatial patterns in prostate cancer-specific mortality in pennsylvania using pennsylvania cancer registry data, 2004–2014 |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7203834/ https://www.ncbi.nlm.nih.gov/pubmed/32375682 http://dx.doi.org/10.1186/s12885-020-06902-5 |
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