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Predicting the 10-year risk of death from other causes in men with localized prostate cancer using patient-reported factors: Development of a tool
Authors
Frendl, Daniel M.FitzGerald, Gordon A.
Epstein, Mara M
Allison, Jeroan J.
Sokoloff, Mitchell H.
Ware, John E. Jr.
UMass Chan Affiliations
Department of UrologyMeyers Primary Care Institute
Department of Medicine
Center for Outcomes Research
Department of Surgery
Department of Population and Quantitative Health Sciences
Document Type
Journal ArticlePublication Date
2020-12-07Keywords
Cancer risk factorsProstate cancer
Cancer detection and diagnosis
Cancer treatment
Medical risk factors
Medicare
Epidemiology
Life expectancy
Clinical Epidemiology
Epidemiology
Health Services Administration
Health Services Research
Male Urogenital Diseases
Neoplasms
Metadata
Show full item recordAbstract
OBJECTIVE: To develop a tool for estimating the 10-year risk of death from other causes in men with localized prostate cancer. SUBJECTS AND METHODS: We identified 2,425 patients from the Surveillance Epidemiology and End Results-Medicare Health Outcomes Survey database, age < 80, newly diagnosed with clinical stage T1-T3a prostate cancer from 1/1/1998-12/31/2009, with follow-up through 2/28/2013. We developed a Fine and Gray competing-risks model for 10-year other cause mortality considering age, patient-reported comorbid medical conditions, component scores and items of the SF-36 Health Survey, activities of daily living, and sociodemographic characteristics. Model discrimination and calibration were compared to predictions from Social Security life table mortality risk estimates. RESULTS: Over a median follow-up of 7.7 years, 76 men died of prostate-specific causes and 465 died of other causes. The strongest predictors of 10-year other cause mortality risk included increasing age at diagnosis, higher approximated Charlson Comorbidity Index score, worse patient-reported general health (fair or poor vs. excellent-good), smoking at diagnosis, and marital status (all other vs. married) (all p < 0.05). Model discrimination improved over Social Security life tables (c-index of 0.70 vs. 0.59, respectively). Predictions were more accurate than predictions from the Social Security life tables, which overestimated risk in our population. CONCLUSIONS: We provide a tool for estimating the 10-year risk of dying from other causes when making decisions about treating prostate cancer using pre-treatment patient-reported characteristics.Source
Frendl DM, FitzGerald G, Epstein MM, Allison JJ, Sokoloff MH, Ware JE. Predicting the 10-year risk of death from other causes in men with localized prostate cancer using patient-reported factors: Development of a tool. PLoS One. 2020 Dec 7;15(12):e0240039. doi: 10.1371/journal.pone.0240039. PMID: 33284845; PMCID: PMC7721137. Link to article on publisher's site
DOI
10.1371/journal.pone.0240039Permanent Link to this Item
http://hdl.handle.net/20.500.14038/41728PubMed ID
33284845Related Resources
Rights
Copyright: © 2020 Frendl et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.Distribution License
http://creativecommons.org/licenses/by/4.0/ae974a485f413a2113503eed53cd6c53
10.1371/journal.pone.0240039
Scopus Count
Except where otherwise noted, this item's license is described as Copyright: © 2020 Frendl et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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