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External validation of a nomogram for the prediction of 10-year life expectancy in candidates for radical prostatectomy

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PurposeAccurate life expectancy prediction is essential in decision-making concerning treatment of clinically localized prostate cancer (PCa). Nomogram predictions are more precise and reproducible than clinician’s estimations. The most accurate nomogram… Click to show full abstract

PurposeAccurate life expectancy prediction is essential in decision-making concerning treatment of clinically localized prostate cancer (PCa). Nomogram predictions are more precise and reproducible than clinician’s estimations. The most accurate nomogram addressing 10-year life expectancy in PCa patients has not been externally validated to date. Therefore, we aimed to evaluate the performance of this nomogram in a contemporary external cohort.Patients and methodsFor this, we enrolled all consecutive patients, who underwent radical prostatectomy at a single institution between 2005 and 2007. Age at surgery and Charlson Comorbidity Index (CCI) were assessed. PCa-related deaths and patients under 55 years were excluded as indicated by the nomogram. The prediction of 10-year life expectancy was calculated according to the nomogram and compared to actual survival data. Calibration and discrimination were assessed using calibration plots.ResultsOverall, 1597 patients were evaluated, with a median age of 64 years (range 55–78 years) at surgery and a median follow-up of 134.4 months (range 0.1–161.7 months). Median CCI was 0 (range 0–10). At 10 years, 134 patients (8.4%) had died of other causes than PCa. The nomogram showed moderate discrimination capacities on receiver-operator characteristic analysis (c-index: 0.64). On calibration curves, the nomogram underestimated the actual life expectancy.ConclusionThe performance accuracy of this prediction model was moderate and underestimated 10-year life expectancy of contemporary PCa patients. In conclusion, prediction of life expectancy remains challenging with a continued need for more precise tools.

Keywords: year life; life; prediction; life expectancy

Journal Title: World Journal of Urology
Year Published: 2019

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