列线图
医学
鼻咽癌
肿瘤科
多元分析
阶段(地层学)
内科学
T级
放射治疗
多元统计
淋巴结转移
流行病学
转移
淋巴结
比例危险模型
生存分析
放射科
接收机工作特性
危险系数
癌症
总体生存率
统计
数学
古生物学
生物
作者
Wanpeng Li,Hanyu Lu,Huan Wang,Li Hu,Xicai Sun,Hongmeng Yu,Dehui Wang
出处
期刊:Head & neck
[Wiley]
日期:2021-03-29
卷期号:43 (8): 2353-2363
被引量:3
摘要
Abstract Background The aim of the present study was to establish and validate a nomogram to predict the overall survival (OS) in nasopharyngeal carcinoma (NPC) patients with lymph node metastasis (LNM). Methods A novel nomogram was constructed using 863 patients with LNM‐positive NPC from the Surveillance, Epidemiology, and End Results (SEER) database. Significant prognostic factors in the nomograms were determined using multivariate Cox risk analysis. The predictive capability was evaluated using calibration curves and decision curve analysis (DCA). Results Multivariate analysis identified seven factors that could be used to construct the nomogram: age, pathological type, T stage, M stage, surgery of primary site, radiotherapy, and chemotherapy. The calibration curves and DCA demonstrated optimal agreement. Based on the nomogram, all patients could be stratified into three risk groups: low, middle, and high. Conclusions The novel nomogram demonstrated its potential as an individualized tool to predict OS.
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