Development and External Validation of Web-Based Models to Predict the Prognosis of Remnant Gastric Cancer after Surgery: A Multicenter Study. (10th April 2019)

• Record Type: Journal Article
• Authors: Chen, Qi-Yue; Zhong, Qing; Zhou, Jun-Feng; Qiu, Xian-Tu; Dang, Xue-Yi; Cai, Li-Sheng; Su, Guo-Qiang; Xu, Dong-Bo; Liu, Zhi-Yu; Li, Ping; Guo, Kai-Qing; Xie, Jian-Wei; Chen, Qiu-Xian; Wang, Jia-Bin; Li, Teng-Wen; Lin, Jian-Xian; Lin, Shuang-Ming; Lu, Jun; Cao, Long-Long; Lin, Mi; Tu, Ru-Hong; Huang, Ze-Ning; Lin, Ju-Li; Lin, Wei; He, Qing-Liang; Zheng, Chao-Hui; Huang, Chang-Ming
• Other Names: Cascinu Stefano Academic Editor.
• Is Part Of: Journal of oncology. Volume 2019(2019)
• Publication Date: 2019-04-10
• Subjects: Oncology -- Research -- Periodicals; Tumors -- Periodicals; Neoplasms; Oncology -- Research; Tumors; Periodicals; Periodicals; 616.994
• DOI: 10.1155/2019/6012826
• Languages: English
• ISSNs: 1687-8450

Abstract

Abstract : Background . Remnant gastric cancer (RGC) is a rare malignant tumor with poor prognosis. There is no universally accepted prognostic model for RGC. Methods . We analyzed data for 253 RGC patients who underwent radical gastrectomy from 6 centers. The prognosis prediction performances of the AJCC7th and AJCC8th TNM staging systems and the TRM staging system for RGC patients were evaluated. Web-based prediction models based on independent prognostic factors were developed to predict the survival of the RGC patients. External validation was performed using a cohort of 49 Chinese patients. Results . The predictive abilities of the AJCC8th and TRM staging systems were no better than those of the AJCC7th staging system (c-index: AJCC7th vs. AJCC8th vs. TRM, 0.743 vs. 0.732 vs. 0.744; P>0.05). Within each staging system, the survival of the two adjacent stages was not well discriminated (P>0.05). Multivariate analysis showed that age, tumor size, T stage, and N stage were independent prognostic factors. Based on the above variables, we developed 3 web-based prediction models, which were superior to the AJCC7th staging system in their discriminatory ability (c-index), predictive homogeneity (likelihood ratio chi-square), predictive accuracy (AIC, BIC), and model stability (time-dependent ROC curves). External validation showed predictable accuracies of 0.780, 0.822, and 0.700, respectively, in predicting overall survival, disease-specific survival, and disease-free survival. Conclusions . The AJCC TNM staging system and the TRM staging system did not enable good distinction among the RGC patients. We have developed and validated visual web-based prediction models that are superior to these staging systems.