Chen Si-Hai, Wan Qin-Si, Zhou Di, Wang Ting, Hu Jia, He Yu-Ting, Yuan Hai-Liang, Wang Yu-Qi, Zhang Kun-He
Department of Gastroenterology, The First Affiliated Hospital of Nanchang University, Jiangxi Institute of Gastroenterology and Hepatology, Nanchang, China.
Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China.
Front Oncol. 2019 Jul 10;9:584. doi: 10.3389/fonc.2019.00584. eCollection 2019.
This study aimed to develop and validate a simple-to-use nomogram for early hepatocellular carcinoma (HCC) patients undergoing a preoperative consultation and doctors conducting a postoperative evaluation. A total of 2,225 HCC patients confirmed with stage I or II were selected from the Surveillance, Epidemiology, and End Results database between January 2010 and December 2015. The patients were randomly divided into two groups: a training group ( = 1,557) and a validation group ( = 668). Univariate and multivariate hazards regression analyses were used to identify independent prognostic factors. The Akaike information criterion (AIC) was used to select variables for the nomogram. The performance of the nomogram was validated concerning its ability of discrimination and calibration and its clinical utility. Age, alpha-fetoprotein (AFP), race, the degree of differentiation, and therapy method were significantly associated with the prognosis of early HCC patients. Based on the AIC results, five variables (age, race, AFP, degree of differentiation, and therapy method) were incorporated into the nomogram. The concordance indexes of the simple nomogram in the training and validation groups were 0.707 (95% CI: 0.683-0.731) and 0.733 (95% CI: 0.699-0.767), respectively. The areas under the receiver operating characteristic (ROC) curve of the nomogram in the training and validation groups were 0.744 and 0.764, respectively, for predicting 3-year survival, and 0.786 and 0.794, respectively, for predicting 5-year survival. Calibration plots showed good consistency between the predictions of the nomogram and the actual observations in both the training and validation groups. Decision curve analysis (DCA) showed that the simple nomogram was clinically useful, and the overall survival significantly differed between low- and high-risk groups divided by the median score of the nomogram in the training group ( < 0.001). A simple-to-use nomogram based on a large population-based study is developed and validated, which is a conventional tool for doctors to facilitate the individual consultation of preoperative patients and the postoperative personalized evaluation.
本研究旨在开发并验证一种便于使用的列线图,用于接受术前咨询的早期肝细胞癌(HCC)患者以及进行术后评估的医生。2010年1月至2015年12月期间,从监测、流行病学和最终结果数据库中选取了2225例确诊为I期或II期的HCC患者。患者被随机分为两组:训练组(n = 1557)和验证组(n = 668)。采用单因素和多因素风险回归分析来确定独立的预后因素。使用赤池信息准则(AIC)为列线图选择变量。对列线图的辨别能力、校准能力及其临床实用性进行了验证。年龄、甲胎蛋白(AFP)、种族、分化程度和治疗方法与早期HCC患者的预后显著相关。基于AIC结果,将五个变量(年龄、种族、AFP、分化程度和治疗方法)纳入列线图。简单列线图在训练组和验证组中的一致性指数分别为0.707(95%CI:0.683 - 0.731)和0.733(95%CI:0.699 - 0.767)。列线图在训练组和验证组中预测3年生存率的受试者操作特征(ROC)曲线下面积分别为0.744和0.764,预测5年生存率的曲线下面积分别为0.786和0.794。校准图显示训练组和验证组中列线图的预测与实际观察结果之间具有良好的一致性。决策曲线分析(DCA)表明,简单列线图具有临床实用性,并且在训练组中,根据列线图中位数得分划分的低风险组和高风险组之间的总生存期存在显著差异(P < 0.001)。基于一项大型人群研究开发并验证了一种便于使用的列线图,这是医生用于促进术前患者个体咨询和术后个性化评估的常规工具。