A novel nomogram individually predicting disease-specific survival after D2 gastrectomy for advanced gastric cancer
作者机构：Department of Gastric SurgerySun Yat-sen University Cancer CenterState Key Laboratory of Oncology in South ChinaCollaborative Innovation Center for Cancer Medicine651 Dongfeng East RoadGuangzhou 510060GuangdongP.R.China Department of Surgical OncologyThe First Affiliated Hospital of China Medical UniversityShenyang 110000LiaoningP.R.China Department of Gastric Cancer SurgeryTianjin Medical University Cancer HospitalTianjin 300000P.R.China Department of General SurgeryNanfang HospitalSouthern Medical UniversityGuangzhou 510515GuangdongP.R.China Department of Gastroenterology SurgeryGuangdong General HospitalGuangzhou 510030GuangdongP.R.China Department of Preventive MedicineSchool of Public HealthSun Yat-sen UniversityGuangzhou 510275GuangdongP.R.China
出 版 物：《Cancer Communications》 (癌症通讯（英文）)
年 卷 期：2018年第38卷第1期
页 面：254-262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 Guangdong Province(No.2015A030313089) the Major Program of Collaborative Innovation of Guangzhou(No.201508030042)
主 题：Advanced gastric cancer Disease-specific survival Prognostic nomogram
摘 要：Background:Few studies have shown nomograms that may predict disease-specific survival(DSS)probability after curative D2 gastrectomy for advanced gastric cancer(AGC),particularly among Chinese *** study sought to develop an elaborative nomogram that predicts long-term DSS for AGC in Chinese ***:A retrospective study was conducted on 6753 AGC patients undergoing D2 gastrectomy between January 1,2000 and December 31,2012 from three large medical hospitals in *** assigned patients from Sun Yat-sen University Cancer Center to the training set,and patients from the First Affiliated Hospital of China Medical University and Tianjin Medical University Cancer Hospital to two separate external validation sets.A multivariate survival analysis was performed using Cox proportional hazards regression model in a training set,and a nomogram was ***’s C-index was used to evaluate discrimination and calibration plots were used to validate similarities between survival probabilities predicted by the nomogram model and actual survival rates in two validation ***:The multivariate Cox regression model identified age,tumor size,location,Lauren classification,lymphatic/venous invasion,depth of invasion,and metastatic lymph node ratio as covariates associated with *** the training set,the nomogram exhibited superior discrimination power compared with the 8th American Joint Com-mittee on Cancer TNM classification(Harrell’s C-index,0.82 vs.0.74;P0.001).In two validation sets,the nomogram’s discrimination power was also excellent relative to TNM classification(C-index,0.83 vs.0.75 and 0.81 vs.0.74,respec-tively;P0.001 for both).After calibration,the nomogram produced survival predictions that corresponded closely with actual survival ***:The established nomogram was able to predict 3-,5-,and 10-year DSS probabilities for AGC *** revealed that this nomogram exhibited excellent discrimination and calibrat
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