Predicting prognosis in resected esophageal squamous cell carcinoma using a clinical nomogram and recursive partitioning analysis

• Published in: European journal of surgical oncology Vol. 44; no. 8; pp. 1199 - 1204
• Main Authors: Zheng, Yuzhen, Fu, Shenshen, He, Tiancheng, Yan, Qihang, Di, Wenyu, Wang, Junye
• Format: Journal Article
• Language: English
• Published: England Elsevier Ltd 01.08.2018
• Subjects: Adult; Aged; Carcinoma, Squamous Cell - diagnosis; Carcinoma, Squamous Cell - mortality; Carcinoma, Squamous Cell - surgery; China - epidemiology; Esophageal Neoplasms - diagnosis; Esophageal Neoplasms - mortality; Esophageal Neoplasms - surgery; Esophageal Squamous Cell Carcinoma; Esophagectomy - methods; Female; Follow-Up Studies; Humans; Male; Middle Aged; Neoplasm Staging; Nomogram; Nomograms; Outcome Assessment (Health Care); Prognosis; Recursive partitioning analysis; Retrospective Studies; Risk Assessment - methods; Survival Rate - trends; China; Esophageal squamous cell carcinoma; Prognosis; Recursive partitioning analysis; Nomogram

Development demand of precise medicine in resectable esophageal squamous cell carcinoma (ESCC) require to recognize patients at high risk treated by surgery alone. Thus, our aim was to construct a clinical nomogram and recursive partitioning analysis (RPA) to predict long-term survival in ESCC treat...