Zhang Peng-Fei, Du Ze-Dong, Wen Feng, Zhang Feng-Yi, Zhang Wei-Han, Luo Li, Hu Jian-Kun, Li Qiu
Department of Medical Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, China.
West China Biomedical Big Data Center, West China Hospital/West China School of Medicine, Sichuan University, Chengdu, China.
Eur J Cancer Care (Engl). 2020 Sep;29(5):e13260. doi: 10.1111/ecc.13260. Epub 2020 Jun 2.
The aim of the study was to find factors associated with overall survival (OS) and establish a nomogram predicting OS of patients with gastric cancer (GC) after D2R0 resection.
Demographic and clinicopathologic factors of patients with GC underwent D2R0 surgical resection were retrospectively collected from medical records, telephone interview or outpatient follow-up. To find factors significantly associated with OS, univariate and multivariate analyses were conducted. The concordance index (C-index) was used to measure the accuracy of the nomogram. Discrimination and calibration of the nomogram were tested using the patients in the validation set.
Overall, patients with 890 GC underwent D2R0 surgical resection were included. Based on the results of univariate analysis and multivariate analysis, T stage, number of metastatic local lymph nodes, lymph node positive rate, adjuvant chemotherapy and diameter of tumour were used to construct a nomogram predicting OS of patients with GC after surgical resection. In the validation cohort, the C-index was 0.73 and the nomogram performed well in predicting OS.
The nomogram was able to accurately predict OS of patients with GC underwent curative surgery and performed well in internal validation, which would also be useful for the decision-making of doctors.
本研究旨在寻找与总生存期(OS)相关的因素,并建立一个预测D2R0切除术后胃癌(GC)患者OS的列线图。
从病历、电话访谈或门诊随访中回顾性收集接受D2R0手术切除的GC患者的人口统计学和临床病理因素。为了找出与OS显著相关的因素,进行了单因素和多因素分析。一致性指数(C指数)用于衡量列线图的准确性。使用验证集中的患者对列线图的区分度和校准度进行测试。
总体而言,纳入了890例接受D2R0手术切除的GC患者。基于单因素分析和多因素分析的结果,使用T分期、局部转移淋巴结数量、淋巴结阳性率、辅助化疗和肿瘤直径构建了一个预测手术切除后GC患者OS的列线图。在验证队列中,C指数为0.73,该列线图在预测OS方面表现良好。
该列线图能够准确预测接受根治性手术的GC患者的OS,并且在内部验证中表现良好,这对医生的决策也将是有用的。