膀胱癌患者总生存预测列线图：一项基于人群的研究。
Nomogram for predicting overall survival of patients with bladder cancer: A population-based study.
机构信息
Department of Urology, the First Affiliated Hospital of Chongqing Medical University, Yuzhong District, Chongqing, China.
Department of General Surgery, University-town Hospital of Chongqing Medical University, Shapingba District, Chongqing, China.
出版信息
Int J Biol Markers. 2020 Jun;35(2):29-39. doi: 10.1177/1724600820907605. Epub 2020 Apr 20.
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.
目的
本研究旨在开发和验证一种可靠的列线图，以估计膀胱癌患者的总生存率。
方法
从监测、流行病学和最终结果数据库中随机抽取膀胱癌患者，分为训练队列和验证队列。使用 Cox 回归分析对预后有显著影响的因素进行了检验。根据这些预后因素制定了列线图。
结果
结果提示，年龄、性别、种族、分级、组织学类型、原发部位、病理分期、手术治疗以及原发肿瘤数量是强有力的预后因素。所有这些因素都被整合到列线图中。预测总生存率的列线图比第 8 版肿瘤-淋巴结-转移（TNM）分期系统具有更好的区分能力。
结论
列线图有可能为膀胱癌患者提供个体化的总生存率预测。
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