机构：[1]Department of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.[2]Department of Gastroenterology, Anhui Provincial Key Laboratory of Digestive Disease, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui Province, China.[3]Oncology and Hematology Department, Shenzhen Hospital of Shanghai University of Traditional Chinese Medicine, Luohu District, Shenzhen City, Guangdong Province, China.深圳市康宁医院深圳医学信息中心[4]Department of General Surgery, Anhui Public Health Clinical Center, Anhui, China.[5]Department of Obstetrics and Gynecology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.[6]Department of Respiratory Medicine, The First Affiliated Hospital of Hainan Medical University, Haikou, Hainan, China.
Prediction of prognosis after radical resection of gastric cancer has not been well established. Therefore, we aimed to establish a prognostic model based on a new score system of patients with gastric cancer. A total of 1235 patients who underwent curative gastrectomy at our hospital from October 2015 to April 2017 were included in this study. Univariate and multivariate analyses were used to screen for prognostic risk factors. Construction of the nomogram was based on Cox proportional hazard regression models. The construction of the new score models was analyzed by the receiver operating characteristic curve (ROC curve), calibration curve, and decision curve. Multivariate analysis showed that tumor size, T, N, carcinoembryonic antigen, CA125, and CA19-9 were independent prognostic factors. The new score model had a greater AUC (The area under the ROC curve) than other systems, and the C-index of the nomogram was highly reliable for evaluating the survival of patients with gastric cancer. Based on the tumor markers and other clinical indicators, we developed a precise model to predict the prognosis of patients with gastric cancer after radical surgery. This score system can be helpful to both surgeons and patients.
基金：
Natural Science Foundation of Anhui Province
(2108085QH337).
语种：
外文
PubmedID：
中科院(CAS)分区：
出版当年[2022]版：
大类|4 区医学
小类|3 区医学：内科4 区医学：研究与实验
最新[2025]版：
大类|4 区医学
小类|4 区医学：内科4 区医学：研究与实验
第一作者：
第一作者机构：[1]Department of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.[2]Department of Gastroenterology, Anhui Provincial Key Laboratory of Digestive Disease, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui Province, China.
共同第一作者：
通讯作者：
通讯机构：[1]Department of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.[5]Department of Obstetrics and Gynecology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.[6]Department of Respiratory Medicine, The First Affiliated Hospital of Hainan Medical University, Haikou, Hainan, China.[*1]Department of General surgery, The First Affiliated Hospital of Anhui Medical University, jixi road, Hefei, Anhui 230022, China[*2]Department of Obstetrics and Gynecology, The First Affiliated Hospital of Anhui Medical University, jixi road, Hefei, Anhui 230022, China.[*3]Department of Respiratory Medicine, The First Affiliated Hospital of Hainan Medical University, longhua road, Haikou, Hainan 570102, China
推荐引用方式(GB/T 7714)：
Zhang Li-Xiang,Cao Zi-Yi,Li Hao-Hao,et al.Prediction of overall survival after radical gastrectomy using nomograms created by tumor markers[J].Journal of investigative medicine : the official publication of the American Federation for Clinical Research.2023,10815589231179927.doi:10.1177/10815589231179927.
APA：
Zhang Li-Xiang,Cao Zi-Yi,Li Hao-Hao,Li Chuan-Hong,Li Ang-Qing...&Xu A-Man.(2023).Prediction of overall survival after radical gastrectomy using nomograms created by tumor markers.Journal of investigative medicine : the official publication of the American Federation for Clinical Research,,
MLA：
Zhang Li-Xiang,et al."Prediction of overall survival after radical gastrectomy using nomograms created by tumor markers".Journal of investigative medicine : the official publication of the American Federation for Clinical Research .(2023):10815589231179927
