ArticlePloS one2020
Predicting the 10-year risk of death from other causes in men with localized prostate cancer using patient-reported factors: Development of a tool.
Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Life expectancy estimation in older men using the prostate cancer comorbidity index in VA & SEER-Medicare cohorts.Age and ageing · 2026Observational
- Physician Preferences Regarding Integration of Life Expectancy in Prostate Cancer Management.Journal of general internal medicine · 2026Article
- Adaption of the Memorial Sloan Kettering Cancer Center Nomograms for the Prediction of Prostate Cancer-specific Death in Sweden: A Population-based Cohort Study.European urology open science · 2025Article
- Prostate cancer among Saudis: a registry review.Annals of medicine and surgery (2012) · 2024Article
- Validation of the prostate cancer comorbidity index in predicting cause-specific mortality in men undergoing radical prostatectomy.Prostate cancer and prostatic diseases · 2023Article
- Health-Related Quality of Life Scores and Values as Predictors of Mortality: A Scoping Review.Journal of general internal medicine · 2023Article
- Article
- Development and validation of a life expectancy calculator for US patients with prostate cancer.BJU international · 2022Article
- Variation in Communication of Competing Risks of Mortality in Prostate Cancer Treatment Consultations.The Journal of urology · 2022Article
- Article
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6 authors.
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Abstract
objectiveTo develop a tool for estimating the 10-year risk of death from other causes in men with localized prostate cancer. SUBJECTS AND
methodsWe 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.
resultsOver 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.
conclusionsWe 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.
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