Development of a prognostic nomogram and risk stratification system for upper thoracic esophageal squamous cell carcinoma.

ABSTRACT:

Background

The study aimed to develop a nomogram model to predict overall survival (OS) and construct a risk stratification system of upper thoracic esophageal squamous cell carcinoma (ESCC).

Methods

Newly diagnosed 568 patients with upper ESCC at Fujian Medical University Cancer Hospital were taken as a training cohort, and additional 155 patients with upper ESCC from Sichuan Cancer Hospital Institute were used as a validation cohort. A nomogram was established using Cox proportional hazard regression to identify prognostic factors for OS. The predictive power of nomogram model was evaluated by using 4 indices: concordance statistics (C-index), time-dependent ROC (ROCt) curve, net reclassification index (NRI) and integrated discrimination improvement (IDI).

Results

I

SUBMITTER: Lin Y 

PROVIDER: S-EPMC10130360 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature