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Updated: Jul 19, 2025

Establishing a Competing Risk Regression Nomogram Model for Survival Data

Establishing a Competing Risk Regression Nomogram Model for Survival Data

Published on: October 23, 2020

[建立和验证一种新型的诺米克图来预测彻底切除术后的整体存活率]

L B Xiong¹, X P Zou¹, K Ning¹

¹Department of Urology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China.

Zhonghua zhong liu za zhi [Chinese journal of oncology]

|August 14, 2023

概括

一个新的SYSUCC nomogram准确地预测了激进切除术后非转移性细胞癌患者的长期存活率. 该模型的性能优于现有的分期系统,可以更好地分层风险,从而改善患者管理.

科学领域:

泌尿器科泌尿器科泌尿器科泌尿器科
在瘤学瘤学.
医学统计医学统计

背景情况:

细胞癌 (RCC) 是一个重大的健康问题.
准确的预后模型对于接受激进切除术 (RN) 的非转移性RCC患者至关重要.
现有的模型,如SSIGN和卡拉基耶维奇名ogram有局限性.

研究的目的:

开发和验证一种新型名谱 (SYSUCC),用于预测RN后非转移性RCC患者的5年,10年和15年的整体存活率 (OS).
为了比较SYSUCC nomogram与病理阶段的性能,卡拉基耶维奇 nomogram和SSIGN得分.
将患者分为不同的预后风险子组.

主要方法:

对1246名非转移性RCC患者的回顾性分析,这些患者接受了RN治疗.
多变量考克斯回归和启动验证用于名ogram开发.
使用时间接收器操作特征 (ROC) 曲线,校准曲线和临床决策曲线分析 (DCA) 的评估.

主要成果:

年龄,吸烟史,核等级,类分化,瘤缩和病态T/N阶段被确定为独立的预后因素.
与病理阶段测定,卡拉基耶维奇号码图和SSIGN得分相比,SYSUCC号码图显示出更高的预测准确度 (AUC).
该模型有效地将患者分为低风险,中风险和高风险组,具有明显不同的OS结果.

结论:

在RN之后,SYSUCC nomogram是预测非转移性RCC患者的长期OS的强大工具.
与当前的临床工具相比,它提供了更好的歧视和风险分层.
诺米图显示出在个性化治疗策略中临床应用的巨大潜力.

关键词:

这个名字叫做Nomogram.预测预后预测预测彻底的切除术是一种彻底的切除术.脏瘤的新生病.

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