Department of Urology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul 110 744, Korea.
Br J Cancer. 2013 Sep 3;109(5):1130-6. doi: 10.1038/bjc.2013.462. Epub 2013 Aug 15.
The objective was to validate an online nomogram developed based on the French collaborative national database on upper urinary tract urothelial carcinoma (UUT-UC) using a different cohort.
The study comprised 328 patients with UUT-UC who underwent radical nephroureterectomy. The discrimination of models was quantified using Harrell's concordance index. The relationship between the model-derived and actuarial cancer-specific mortality was graphically explored within calibration plots. Calibration was also assessed using the quartiles of the predicted survival at 3 and 5 years and calculation of the corresponding observed Kaplan-Meier estimates. Clinical net benefit was evaluated constructing decision curve analysis.
The discrimination accuracy of the nomograms at 3 and 5 years was 71.6% and 71.8%, respectively. Although nomograms discriminated well by Kaplan-Meier curves, and log-rank tests were all highly significant, the calibration plots tended to exaggerate the overestimation of mortality between predicted and observed probabilities at 3 and 5 years for survival. When compared with the AJCC/UICC staging system, the nomograms performed well across a wide range of threshold probabilities using decision curve analysis.
The online nomogram is a highly accurate prognostic tool for patients with UUT-UC treated with radical nephroureterectomy. The model can provide an accurate estimate of the individual risk of cancer-specific mortality. Further improvement and implementation of novel molecular marker is needed.
本研究旨在使用不同队列验证基于法国上尿路上皮癌协作国家数据库开发的在线列线图。
本研究纳入 328 例接受根治性肾输尿管切除术的上尿路上皮癌患者。采用 Harrell 一致性指数评估模型的区分度。通过校准图中的图形探索模型推导的与实际癌症特异性死亡率之间的关系。还通过预测生存的四分位数(3 年和 5 年)和计算相应的观察 Kaplan-Meier 估计值来评估校准。通过构建决策曲线分析评估临床净效益。
列线图在 3 年和 5 年的判别准确率分别为 71.6%和 71.8%。虽然列线图通过 Kaplan-Meier 曲线很好地进行了区分,对数秩检验均具有高度显著性,但校准图在 3 年和 5 年时倾向于夸大预测概率与观察概率之间的死亡率高估。与 AJCC/UICC 分期系统相比,决策曲线分析表明,该列线图在广泛的阈值概率范围内表现良好。
该在线列线图是一种用于接受根治性肾输尿管切除术治疗的上尿路上皮癌患者的高度准确的预后工具。该模型可以提供癌症特异性死亡率的个体风险的准确估计。需要进一步改进和实施新的分子标志物。