Walz Jochen, Gallina Andrea, Saad Fred, Montorsi Francesco, Perrotte Paul, Shariat Shahrokh F, Jeldres Claudio, Graefen Markus, Bénard Francois, McCormack Michael, Valiquette Luc, Karakiewicz Pierre I
Cancer Prognostics and Health Outcomes Unit, University of Montreal Health Center, Montréal, Québec, Canada.
J Clin Oncol. 2007 Aug 20;25(24):3576-81. doi: 10.1200/JCO.2006.10.3820.
Candidates for definitive therapy for localized prostate cancer (PCa) should have life expectancy (LE) in excess of 10 years. However, LE estimation is difficult. To circumvent this problem, we developed a nomogram predicting 10-year LE for patients treated with either radical prostatectomy (RP) or external-beam radiation therapy (EBRT) and compared it with an existing tool.
Between 1989 and 2000, 9,131 men were treated with either RP (n = 5,955) or EBRT (n = 3,176), without any secondary therapy and all deaths were considered unrelated to PCa. Age and Charlson comorbidity index (CCI) predicted 10-year LE in Cox regression models. We used 200 bootstrap resamples to internally validate the nomogram.
Median age was 66 years, median CCI was 1, median follow-up was 5.9 years and median actuarial survival was 13.8 years. Advanced age (P < .001), elevated CCI score (P < .001) and treatment type (EBRT v RP, P < .001) were independent predictors of poor 10 year LE. The nomogram predicting 10 year LE after either RP or EBRT was 84.3% accurate in split sample validation and was 2.9% (P = .007) more accurate than the existing tool. A cutoff of 70% or less was 84% accurate in identifying men who did not survive beyond 10 years.
Our nomogram can accurately identify those individuals who do not have sufficient LE to warrant definitive PCa treatment and can help optimizing therapy decision-making.
局部前列腺癌(PCa)确定性治疗的候选患者预期寿命(LE)应超过10年。然而,LE估计很困难。为解决这个问题,我们开发了一种列线图,用于预测接受根治性前列腺切除术(RP)或外照射放疗(EBRT)的患者的10年LE,并将其与现有工具进行比较。
1989年至2000年间,9131名男性接受了RP(n = 5955)或EBRT(n = 3176)治疗,未接受任何辅助治疗,所有死亡均被认为与PCa无关。在Cox回归模型中,年龄和查尔森合并症指数(CCI)可预测10年LE。我们使用200次自抽样重采样对列线图进行内部验证。
中位年龄为66岁,中位CCI为1,中位随访时间为5.9年,中位精算生存率为13.8年。高龄(P < .001)、CCI评分升高(P < .001)和治疗类型(EBRT与RP,P < .001)是10年LE较差的独立预测因素。预测RP或EBRT后10年LE的列线图在拆分样本验证中的准确率为84.3%,比现有工具准确2.9%(P = .007)。70%或更低的截断值在识别生存期未超过10年的男性时准确率为84%。
我们的列线图可以准确识别那些LE不足以保证进行确定性PCa治疗的个体,并有助于优化治疗决策。