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上尿路尿路上皮癌高预测生存率列线图。

Highly predictive survival nomogram after upper urinary tract urothelial carcinoma.

机构信息

Cancer Prognostics and Health Outcomes Unit, University of Montreal Health Center, Montreal, Quebec, Canada.

出版信息

Cancer. 2010 Aug 15;116(16):3774-84. doi: 10.1002/cncr.25122.

Abstract

BACKGROUND

Nephroureterectomy is the surgical standard of care for patients with upper urinary-tract urothelial carcinoma. The objectives of the current study were to identify the most informative predictors of cancer-specific mortality after nephroureterectomy, to devise an algorithm capable of predicting the individual probability of cancer-specific mortality, and to compare its prognostic accuracy to that of the International Union Against Cancer (UICC) staging system.

METHODS

Within the Surveillance, Epidemiology, and End Results database, the authors identified 5918 patients who had been treated with nephroureterectomy. Within the development cohort (n=2959), multivariate Cox regression models predicting cancer-specific mortality were fitted by using age, stage, nodal status, sex, grade, race, type of surgery (nephroureterectomy with or without bladder-cuff removal), and tumor location (renal pelvis vs ureter). Backward variable elimination according to the Akaike information criterion identified the most accurate and parsimonious model. Model validation and calibration were performed within the external validation cohort (n=2959). External validation was also applied to the UICC staging system.

RESULTS

The 5-year freedom from cancer-specific mortality rates in both the development and external validation cohorts was 77.3%. The most informative and parsimonious nomogram for cancer-specific-mortality-free survival relied on age, pT and pN stages, and tumor grade. In external validation, nomogram prediction of 5-year cancer-specific-mortality-free rate was 75.4% accurate and was significantly better (P<.001) than the UICC staging system (64.8%).

CONCLUSIONS

The current nomogram is capable of predicting the prognosis in patients with upper urinary-tract urothelial carcinoma treated by nephroureterectomy with better accuracy than the UICC staging system. The authors recommend the application of this nomogram to routine clinical practice when counseling or making clinical decisions.

摘要

背景

肾输尿管切除术是治疗上尿路上皮癌患者的标准手术方法。本研究的目的是确定肾输尿管切除术后癌症特异性死亡率的最有信息预测因素,设计一种能够预测个体癌症特异性死亡率的算法,并比较其预后准确性与国际抗癌联盟(UICC)分期系统。

方法

作者在监测、流行病学和最终结果数据库中确定了 5918 例接受肾输尿管切除术治疗的患者。在开发队列(n=2959)中,通过使用年龄、分期、淋巴结状态、性别、分级、种族、手术类型(肾输尿管切除术联合或不联合膀胱袖口切除)和肿瘤位置(肾盂与输尿管),建立预测癌症特异性死亡率的多变量 Cox 回归模型。根据赤池信息量准则进行向后变量消除,以确定最准确和简约的模型。在外部验证队列(n=2959)中进行模型验证和校准。还对 UICC 分期系统进行了外部验证。

结果

在开发队列和外部验证队列中,5 年无癌症特异性死亡率分别为 77.3%。对于癌症特异性无死亡生存的最有信息和简约的列线图依赖于年龄、pT 和 pN 分期以及肿瘤分级。在外部验证中,列线图预测 5 年癌症特异性无死亡率的准确率为 75.4%,明显优于 UICC 分期系统(64.8%)(P<.001)。

结论

目前的列线图能够比 UICC 分期系统更准确地预测接受肾输尿管切除术治疗的上尿路上皮癌患者的预后。作者建议在咨询或做出临床决策时,将此列线图应用于常规临床实践。

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