Nomogram for predicting overall survival of patients with bladder cancer: A population-based study
Nomogram for predicting overall survival of patients with bladder cancer: A population-based study
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DOI：
10.1177/1724600820907605
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发表时间：
2020-06-01
影响因子：
2
通讯作者：
Gou, Xin
中科院分区：
文献类型：
--
作者：
Wang, Jiawu;Wu, Yan;Gou, Xin
目的：本研究的目的是建立和验证一个可靠的正常图来估计膀胱癌的总生存率。方法：将监测、流行病学和结果数据库中确诊为膀胱癌的患者随机分为训练队列和验证队列。采用COX回归分析，对影响预后的主要因素进行分析。并绘制了影响预后因素的诺模图。结果：年龄、性别、种族、分级、组织学类型、原发部位、病理分期、手术方式、原发肿瘤个数是影响预后的重要因素。所有这些因素综合在一起构成了诺模图。与肿瘤-淋巴结-转移(TNM)分期系统第8版相比，预测总生存期的诺模图具有更好的区分力。结论：诺模图有可能为膀胱癌患者的总体生存提供个体化预测。
Objective: The aim of this study was to develop and validate a reliable nomogram to estimate overall survival in bladder cancer. Method: Patients diagnosed with bladder cancer identified in the Surveillance, Epidemiology, and End Results database were randomly divided into training and validation cohorts. The powerful prognostic variables were examined using Cox regression analyses. A nomogram was developed on the prognostic factors. Results: The results suggested that age, sex, race, grade, histologic type, primary site, pathological stage, surgical treatment, and number of primary tumors, were the powerful prognostic factors. All these factors were integrated to construct the nomogram. The nomogram for predicting overall survival showed better discrimination power than the tumor-node-metastasis (TNM) stage system 8th edition. Conclusion: The nomogram has the potential to provide an individualized prediction of overall survival in patients with bladder cancer.