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Model established based on blood markers predicts overall survival in patients after radical resection of types Ⅱ and Ⅲ adenocarcinoma of the esophagogastric junction

作     者:Zhi-Jian Wei Ya-Ting Qiao Bai-Chuan Zhou Abigail N Rankine Li-Xiang Zhang Ye-Zhou Su A-Man Xu Wen-Xiu Han Pan-Quan Luo 

作者机构:Department of General SurgeryThe First Affiliated Hospital of Anhui Medical UniversityHefei 230022Anhui ProvinceChina Department of Gastrointestinal SurgeryAffiliated Hospital of HeBei UniversityBaoding 071000Hebei ProvinceChina Department of Clinical MedicineAnhui Medical UniversityHefei 230032Anhui ProvinceChina Department of GastroenterologyAnhui Provincial Key Laboratory of Digestive DiseaseThe First Affiliated Hospital of Anhui Medical UniversityHefei 230022Anhui ProvinceChina Department of Obstetrics and GynecologyThe First Affiliated Hospital of Anhui Medical UniversityHefei 230022Anhui ProvinceChina 

出 版 物:《World Journal of Gastrointestinal Surgery》 (世界胃肠外科杂志(英文版)(电子版))

年 卷 期:2022年第14卷第8期

页      面:788-798页

核心收录:

学科分类:1002[医学-临床医学] 100214[医学-肿瘤学] 10[医学] 

基  金:Supported by the Natural Science Foundation of Anhui Province No. 2108085QH337 

主  题:Adenocarcinomas of the esophagogastric junction Neutrophil-to-lymphocyte ratio Platelet-tolymphocyte ratio Prognosis Tumor-node-metastasis 

摘      要:BACKGROUND In recent years, the incidence of types Ⅱ and Ⅲ adenocarcinoma of the esophagogastric junction(AEG) has shown an obvious upward trend worldwide. The prognostic prediction after radical resection of AEG has not been well *** To establish a prognostic model for AEG(types II and III) based on routine *** A total of 355 patients who underwent curative AEG at The First Affiliated Hospital of Anhui Medical University from January 2014 to June 2015 were retrospectively included in this study. Univariate and multivariate analyses were performed to identify the independent risk factors. A nomogram was constructed based on Cox proportional hazards models. The new score models was analyzed by C index and calibration curves. The receiver operating characteristic(ROC) curve was used to compare the predictive accuracy of the scoring system and tumor-node-metastasis(TNM) stage. Overall survival was calculated using the Kaplan-Meier curve amongst different risk AEG *** Multivariate analysis showed that TNM stage(hazard ratio [HR] = 2.286, P = 0.008), neutrophil-tolymphocyte ratio(HR = 2.979, P = 0.001), and body mass index(HR = 0.626, P = 0.026) were independent prognostic factors. The new scoring system had a higher concordance index(0.697),and the calibration curves of the nomogram were reliable. The area under the ROC curve of the new score model(3-year: 0.725, 95% confidence interval [CI]: 0.676-0.777;5-year: 0.758, 95%CI:0.708-0.807) was larger than that of TNM staging(3-year: 0.630, 95%CI: 0.585-0.684;5-year: 0.665,95%CI: 0.616-0.715).CONCLUSION Based on the serum markers and other clinical indicators, we have developed a precise model to predict the prognosis of patients with AEG(types II and III). The new prognostic nomogram could effectively enhance the predictive value of the TNM staging system. This scoring system can be advantageous and helpful for surgeons and patients.

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