Martini-Klinik Prostate Cancer Center, University Hospital Hamburg-Eppendorf, Martinistraße 52, 20246, Hamburg, Germany.
Division of Urology, Cancer Prognostics and Health Outcomes Unit, University of Montreal Health Center, Montreal, QC, Canada.
World J Urol. 2019 Dec;37(12):2649-2655. doi: 10.1007/s00345-019-02706-w. Epub 2019 Mar 4.
Accurate 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.
For 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.
Overall, 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.
The 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.
准确预测预期寿命对于临床局限性前列腺癌(PCa)的治疗决策至关重要。列线图预测比临床医生的估计更准确且可重复。迄今为止,尚未对用于预测 PCa 患者 10 年预期寿命的最准确列线图进行外部验证。因此,我们旨在评估该列线图在当代外部队列中的表现。
为此,我们纳入了 2005 年至 2007 年期间在一家机构接受根治性前列腺切除术的所有连续患者。评估手术时的年龄和 Charlson 合并症指数(CCI)。根据列线图排除与 PCa 相关的死亡和年龄小于 55 岁的患者。根据列线图计算 10 年预期寿命的预测,并将其与实际生存数据进行比较。使用校准图评估校准和区分能力。
总体而言,我们评估了 1597 名患者,手术时的中位年龄为 64 岁(范围 55-78 岁),中位随访时间为 134.4 个月(范围 0.1-161.7 个月)。中位 CCI 为 0(范围 0-10)。10 年内,有 134 名患者(8.4%)死于 PCa 以外的其他原因。在受试者工作特征分析中,该列线图显示出中等的区分能力(c 指数:0.64)。在校准曲线中,该列线图低估了实际预期寿命。
该预测模型的性能准确性中等,低估了当代 PCa 患者的 10 年预期寿命。总之,预测预期寿命仍然具有挑战性,需要更精确的工具。