Zhu Guangxi, Wang Wensheng, Liu Qin, Chen Dongfeng, Wen Liangzhi
Department of Gastroenterology, Daping Hospital, Army Medical University, Chongqing, China.
Gastroenterol Res Pract. 2020 Apr 1;2020:2357840. doi: 10.1155/2020/2357840. eCollection 2020.
To develop and validate a simple-to-use nomogram for prediction of 3-/5-year survival in patients with N0M0 hepatocellular carcinoma after curative liver resection. . Patients diagnosed HCC with hepatic resection in the Surveillance, Epidemiology, and End Results (SEER) database were included to identify prognostic factors of overall survival. Multivariate Cox regression were used to create a nomogram.
We identified 4856 HCC with hepatic resection from the SEER database. A nomogram to predict long-term survival with a C-index 0.667 (95% CI, 0.653 to 0.681) is more efficient than TNM staging with a lower C-index 0.613 (95% CI, 0.597 to 0.629). The C-index was confirmed to be 0.663 (95% CI, 0.640 to 0.686) through validation, suggesting a good discrimination and a good prediction capability.
The nomogram is a simple and effective screening tool for assessing the prognosis of HCC with hepatic resection and assists with the planning of individual postoperative surveillance protocols.
开发并验证一种易于使用的列线图，用于预测根治性肝切除术后N0M0肝细胞癌患者的3/5年生存率。纳入监测、流行病学和最终结果（SEER）数据库中诊断为肝癌并接受肝切除的患者，以确定总生存的预后因素。采用多因素Cox回归创建列线图。
我们从SEER数据库中识别出4856例接受肝切除的肝癌患者。用于预测长期生存的列线图C指数为0.667（95%CI，0.653至0.681），比C指数较低的TNM分期（0.613，95%CI，0.597至0.629）更有效。通过验证，C指数被确认为0.663（95%CI，0.640至0.686），表明具有良好的区分度和预测能力。
该列线图是评估肝癌肝切除预后的一种简单有效的筛查工具，有助于制定个体化的术后监测方案。
