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一种新的非肌肉浸润性膀胱癌患者膀胱内复发、疾病进展和癌症特异性死亡的风险分层模型:J-NICE 风险表。

A new risk stratification model for intravesical recurrence, disease progression, and cancer-specific death in patients with non-muscle invasive bladder cancer: the J-NICE risk tables.

机构信息

Department of Urology, Nara Medical University, 840 Shijo-cho, Kashihara, Nara, 634-8522, Japan.

Department of Urology, Graduate School of Medicine, Yamaguchi University, Ube, Yamaguchi, 755-8505, Japan.

出版信息

Int J Clin Oncol. 2020 Jul;25(7):1364-1376. doi: 10.1007/s10147-020-01654-5. Epub 2020 Mar 30.

Abstract

BACKGROUND

The aim of this study is to establish new risk tables for the current clinical setting, enabling short- and long-term risk stratification for recurrence, progression, and cancer-specific death after transurethral resection in non-muscle invasive bladder cancer (NMIBC). Currently available risk tables lack input from the 2004 World Health Organization grading system and risk prediction for cancer-specific death.

METHODS

This was a multi-institutional database study of 1490 patients diagnosed with NMIBC (the development cohort). A multivariate Fine and Gray subdistribution hazard model was used to assess the prognostic impact of various factors. Patients were classified into low-, intermediate-, and high-risk groups according to a sum of the weight of selected factors, and predicted cumulative rates were calculated. Internal validation was conducted using 200 bootstrap resamples to assess the optimism for the c-index and estimate a bias-corrected c-index. External validation of the developed risk table was performed on an independent dataset of 91 patients.

RESULTS

The Japanese NIshinihon uro-onCology Extensive collaboration group (J-NICE) risk stratification table was derived from six, five, and two factors for recurrence, progression, and cancer-specific death, respectively. The internal validation bias-corrected c-index values were 0.619, 0.621, and 0.705, respectively. The application of the J-NICE table to an external dataset resulted in c-indices for recurrence, progression, and cancer-specific death of 0.527, 0.691, and 0.603, respectively.

CONCLUSIONS

We propose a novel risk stratification model that predicts outcomes of treated NMIBC and may overcome the shortcomings of existing risk models. Further external validation is required to strengthen its clinical impact.

摘要

背景

本研究旨在为当前临床环境建立新的风险表,以便对非肌层浸润性膀胱癌(NMIBC)经尿道切除术后的复发、进展和癌症特异性死亡进行短期和长期风险分层。目前可用的风险表缺乏 2004 年世界卫生组织分级系统的输入以及癌症特异性死亡的风险预测。

方法

这是一项多机构数据库研究,纳入了 1490 名诊断为 NMIBC 的患者(发展队列)。采用多变量 Fine 和 Gray 亚分布风险模型评估各种因素的预后影响。根据选定因素的权重总和将患者分为低危、中危和高危组,并计算预测的累积率。通过 200 次 bootstrap 重采样进行内部验证,以评估 c 指数的乐观程度并估计偏置校正的 c 指数。对开发的风险表进行外部验证,纳入了 91 名患者的独立数据集。

结果

日本 Nishinihon 泌尿肿瘤广泛协作组(J-NICE)风险分层表分别来源于复发、进展和癌症特异性死亡的 6、5 和 2 个因素。内部验证的偏置校正 c 指数值分别为 0.619、0.621 和 0.705。J-NICE 表在外部数据集的应用导致复发、进展和癌症特异性死亡的 c 指数分别为 0.527、0.691 和 0.603。

结论

我们提出了一种新的风险分层模型,可预测治疗后的 NMIBC 结局,并可能克服现有风险模型的不足。需要进一步的外部验证来增强其临床影响。

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