• Xiying Cao, Bingqun Wu, Shaoming Guo, Weixiang Zhong, Zuxiong Zhang, and Hui Li.
• Department of Thoracic Surgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China; Department of Thoracic Surgery, The First Affiliated Hospital of Gannan Medical University, Ganzhou City, Jiangxi Province, China. Electronic address: caoxiying_1060@outlook.com.
• Clinics (Sao Paulo). 2024 Jan 1; 79: 100433100433.

AbstractCurrently, the incidence of esophageal cancer continues to rise around the world. Because of its good early prognosis, it is of great significance to establish an effective model for predicting the survival of EC patients. The purpose of this study was to predict survival after diagnosis in Esophageal Cancer (EC) patients by constructing a valid clinical nomogram. In this study, 5037 EC patient samples diagnosed from 2010 to 2015 were screened by accessing the SEER database, and 8 independent prognostic factors were screened by various methods, and Cox multivariate regression was included to construct a prognostic model and nomogram for esophageal cancer. to estimate esophageal cancer recurrence and overall survival. Calibration of the nomogram predicted probabilities of 1-year, 3-year and 5-year survival probability, which were closely related to actual survival. In conclusion, this study validated that the column-line graphical model can be considered an individualized quantitative tool for predicting the prognosis of patients with EC in order to assist clinicians in making therapeutic decisions.Copyright © 2024 HCFMUSP. Published by Elsevier España, S.L.U. All rights reserved.

21 keywords...

hide…