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Dataset Information

Development and validation of a novel prognostic model for patients with surgically resected esophageal squamous cell carcinoma.


ABSTRACT:

Background and objectives

Esophageal squamous cell carcinoma (ESCC) is the most common pathological type of esophageal malignancy in most regions of the world. The study aimed to identify risk factors and develop a predictive model for ESCC following surgical resection.

Patients and methods

A total of 533 ESCC patients who underwent surgical resection from Suining Central Hospital were enrolled in the study. Cox proportional hazards regression and Least Absolute Shrinkage and Selection Operator (LASSO) regression were performed to identify significant prognostic factors. A prognostic model was constructed, and the receiver operating characteristic (ROC) curve, concordance index (C-index), and decision cure analysis (DCA) were used to evaluate the discrimination and calibrati

SUBMITTER: Hu H 

PROVIDER: S-EPMC9435602 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature