"S. Pio Da Pietrelcina" Hospital, Dept. of Urology, Vasto, Italy.
BJU Int. 2013 Sep;112(5):578-84. doi: 10.1111/j.1464-410X.2012.11670.x. Epub 2013 Mar 7.
To assess the accuracy and generalizability of the pre- and postoperative Karakiewicz nomograms for predicting cancer-specific survival (CSS) in patients with renal cell carcinoma (RCC).
This retrospective study included 3231 patients from European and US centres, who were treated by radical or partial nephrectomy for RCC between 1992 and 2010. Prognostic scores for each patient were calculated and the primary endpoint was CSS. Discriminating ability was assessed by Harrell's c-index for censored data. The 'validation by calibration' method proposed by Van Houwelingen was used for checking the calibration of covariate effects. Calibration was graphically explored.
Local and systemic symptoms were present in 23.2% and 9.1% of the patients, respectively. The median follow-up (FU) was 49 months. At the last FU, 408 cancer-related deaths were recorded, Kaplan-Meier estimates of CSS (with 95% confidence intervals [CIs]) at 5 and 10 years were 0.86 (0.84-0.87) and 0.77 (0.75-0.80), respectively. Both nomograms discriminated well. Stratified c-indices for CSS were 0.784 (95% CI 0.753-0.814) for the preoperative nomogram, and 0.842 (95% CI 0.816-0.867) for the postoperative one, with a significant difference between the two values (P < 0.001). The covariate-based predictions on our data for both nomograms were valid. The calibration plots showed no relevant departures from ideal predictions.
The results suggest that the postoperative Karakiewicz nomogram discriminates substantially better than the preoperative one. These nomogram-based predictions may be used as benchmark data for pretreatment and postoperative decision-making in patients at various stages of RCC.
评估术前和术后 Karakiewicz 列线图预测肾细胞癌(RCC)患者癌症特异性生存(CSS)的准确性和泛化能力。
本回顾性研究纳入了 1992 年至 2010 年间在欧洲和美国中心接受根治性或部分肾切除术治疗的 3231 例 RCC 患者。为每位患者计算预后评分,主要终点为 CSS。使用删失数据的 Harrell c 指数评估判别能力。使用 Van Houwelingen 提出的“验证校准”方法检查协变量效应的校准。图形探索校准。
分别有 23.2%和 9.1%的患者存在局部和全身症状。中位随访(FU)时间为 49 个月。在最后一次 FU 时,记录了 408 例癌症相关死亡事件,Kaplan-Meier 估计的 CSS(95%置信区间[CI])在 5 年和 10 年时分别为 0.86(0.84-0.87)和 0.77(0.75-0.80)。两个列线图均能很好地进行区分。CSS 的分层 c 指数分别为术前列线图的 0.784(95%CI 0.753-0.814)和术后列线图的 0.842(95%CI 0.816-0.867),两者之间存在显著差异(P<0.001)。对我们的数据进行基于协变量的预测,两种列线图都是有效的。校准图显示与理想预测没有明显偏差。
结果表明,术后 Karakiewicz 列线图的区分能力明显优于术前列线图。这些基于列线图的预测可以作为 RCC 各阶段患者术前和术后决策的基准数据。