接收机工作特性
医学
内科学
比例危险模型
癌症
C反应蛋白
多元分析
阶段(地层学)
多元统计
一致性
肿瘤科
阿卡克信息准则
全身炎症
胃肠病学
炎症
生存分析
生物
统计
数学
古生物学
作者
Yiru Chen,Yanling Chen,Su-Shan Ouyang,Huiwen Xu,Ping Li,Longjun He,Senlin Zhu
标识
DOI:10.1016/j.cca.2020.09.027
摘要
Systemic inflammation and interactions with host-tumor are currently identified as a hallmark of cancer. The purpose of this study was to assess the prognostic value of preoperative modified Glasgow Prognostic Score (mGPS), systemic inflammation score (SIS) and "lymphocyte C-reactive protein score" (LCS) in gastric cancer (GC) patients. 358 GC patients were enrolled in this retrospective study. Kaplan-Meier method, multivariate Cox regression analysis, time-dependent receiver operating characteristics analysis (ROC), concordance index (C-index), and Akaike information criterion (AIC) were applied for assessments of the prognostic values. Preoperative increased mGPS, SIS and LCS were all significantly linked with unfavorable overall survival using the Kaplan-Meier method (P < 0.001). Multivariate analysis proved that SIS was the only independent indicator among these three scoring systems. At the 4th-month point postoperatively, the time-dependent ROC curves of SIS and LCS crossed the curve of mGPS and were consistently superior to that of mGPS thereafter. The model incorporating SIS had higher C-index and smaller AIC than did the model without SIS or the models with mGPS or LCS. Preoperative SIS exceeded both the mGPS and LCS and was the most clinically promising and feasible prognostic scoring system for GC patients.
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