Novel multifactor predictive model for postoperative survival in gallbladder cancer: a multi-center study.

ABSTRACT:

Background

Gallbladder cancer (GBC) is a highly aggressive malignancy, with limited survival profiles after curative surgeries. This study aimed to develop a practical model for predicting the postoperative overall survival (OS) in GBC patients.

Methods

Patients from three hospitals were included. Two centers (N = 102 and 100) were adopted for model development and internal validation, and the third center (N = 85) was used for external testing. Univariate and stepwise multivariate Cox regression were used for feature selection. A nomogram for 1-, 3-, and 5-year postoperative survival rates was constructed accordingly. Performance assessment included Harrell's concordance index (C-index), receiver operating characteristic (ROC) curves and calibration curves. Kaplan-Meier cur

SUBMITTER: Deng K 

PROVIDER: S-EPMC11445856 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature