Life expectancy estimation in older men using the prostate cancer comorbidity index in VA & SEER-Medicare cohorts.
Background Guidelines endorse specific life expectancy (LE) cutoffs for triage of definitive local treatment of prostate cancer, but the lack of validated, prostate cancer-specific LE prediction tools limits incorporation of LE in management decisions. Objective We sought to provide long-term LE pre...
| Publicado en: | Age & Ageing Vol. 55; no. 4; pp. 1 - 10 |
|---|---|
| Autores principales: | , , , , |
| Formato: | Artículo |
| Publicado: |
Oxford University Press / USA
Apr2026
|
| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=193500092&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 193500092 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00020729 AGA jtl: Age & Ageing issn: 00020729 maglogo: N pubinfo: dt: Apr2026 vid: 55 iid: 4 pid: 622 pub: Oxford University Press / USA artinfo: ui: 193500092 10.1093/ageing/afag097 ppf: 1 ppct: 9 formats: tig: atl: Life expectancy estimation in older men using the prostate cancer comorbidity index in VA & SEER-Medicare cohorts. aug: au: Heard, John Luu, Michael Thomas, I-Chun Leppert, John Daskivich, Timothy affil: Cedars-Sinai Medical Center – Department of Urology, Cedars-Sinai Medical Center, Los Angeles, California, USA Cedars-Sinai Medical Center – Department of Biostatistics, Cedars-Sinai Medical Center, Los Angeles, California, USA Stanford University – Department of Urology, Stanford University, Stanford, California, USA su: United States United States. Dept. of Veterans Affairs Life expectancy Medicare Age distribution Retrospective studies Aging Longevity Old age Medical protocols Pearson correlation (Statistics) Research funding Health insurance reimbursement Scientific observation Questionnaires Kruskal-Wallis Test Prostate tumors Severity of illness index Reporting of diseases Descriptive statistics Chi-squared test Multivariate analysis Longitudinal method Kaplan-Meier estimator Log-rank test Medical records Acquisition of data Cancer patient psychology Survival analysis (Biometry) Comparative studies Data analysis software Confidence intervals Comorbidity Nosology Overall survival Proportional hazards models sug: subj: Life expectancy Medicare Age distribution Retrospective studies Aging Longevity Old age United States United States. Dept. of Veterans Affairs Administration of Human Resource Programs (except Education, Public Health, and Veterans' Affairs Programs) Administration of Veterans' Affairs Medical protocols Pearson correlation (Statistics) Research funding Health insurance reimbursement Scientific observation Questionnaires Kruskal-Wallis Test Prostate tumors Severity of illness index Reporting of diseases Descriptive statistics Chi-squared test Multivariate analysis Longitudinal method Kaplan-Meier estimator Log-rank test Medical records Acquisition of data Cancer patient psychology Survival analysis (Biometry) Comparative studies Data analysis software Confidence intervals Comorbidity Nosology Overall survival Proportional hazards models keyword: ageing comorbidity copyrightHolder:British Geriatrics Society copyrightYear:2026 follow-up guidelines https://dx.doi.org/10.1093/ageing/afag097 inLanguage:en international classification of diseases life expectancy longevity medicare mortality older adult older people prostate cancer prostate cancer stage i publisher:Oxford University Press sameAs:https://pubmed.ncbi.nlm.nih.gov/42043951/ seer program survival ageing comorbidity copyrightHolder:British Geriatrics Society copyrightYear:2026 follow-up guidelines https://dx.doi.org/10.1093/ageing/afag097 inLanguage:en international classification of diseases life expectancy longevity medicare mortality older adult older people prostate cancer prostate cancer stage i publisher:Oxford University Press sameAs:https://pubmed.ncbi.nlm.nih.gov/42043951/ seer program survival ab: Background Guidelines endorse specific life expectancy (LE) cutoffs for triage of definitive local treatment of prostate cancer, but the lack of validated, prostate cancer-specific LE prediction tools limits incorporation of LE in management decisions. Objective We sought to provide long-term LE predictions in older men using the Prostate Cancer Comorbidity Index (PCCI), a validated tool for prediction of other-cause mortality based on age and presence and severity of major comorbidities, in nationally representative cohorts of US prostate cancer patients. Design, Setting, Subjects We performed an observational study of 916,890 men in the SEER-Medicare database and 243,928 men in the VA diagnosed with clinically localized prostate cancer between 2000 and 2019. Methods PCCI scores were calculated using ICD-9 and ICD-10 codes. Kaplan Meier and multivariable Cox proportional hazards analysis were used to measure overall survival by age-adjusted PCCI score groups. Results Median follow up was 11 years in both cohorts. In SEER-Medicare, men with PCCI scores of 1–2, 3–4, 5–6, 7–9, and 10+ had median estimated LE (95%CI) of 16.6 (16.5–16.7), 12.2 (12.1–12.2), 10.7 (10.6–10.7), 9.3 (9.2–9.3), and 5.4 (5.3–5.4) years, respectively. In the VA, men with the same PCCI scores had estimated median LE (95%CI) of 16.1 (16.0–16.3), 11.2 (11.1–11.4), 9.1 (8.9–9.2), 7.5 (7.4–7.7), and 5.2 (5.0–5.3) years, respectively. Conclusions The PCCI robustly predicts long-term longevity in SEER-Medicare and VA populations, with similar LE estimates in each. LE prediction tables with their accompanying variability estimates can help clinicians implement guidelines endorsed LE cutoffs for management of older men with prostate cancer. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
|---|