Development and validation of a prognostic model based on metabolic risk score to predict overall survival of endometrial cancer in Chinese patients.

ABSTRACT:

Objective

Metabolic syndrome (MetS) is closely related to the increased risk and poor prognosis of endometrial cancer (EC). The purpose of this study was to analyze the relationship between metabolic risk score (MRS) and EC, and establish a predictive model to predict the prognosis of EC.

Methods

A retrospective study was designed of 834 patients admitted between January 2004 to December 2019. Univariate and multivariate Cox analysis were performed to screen independent prognostic factors for overall survival (OS). A predictive nomogram is built based on independent risk factors for OS. Consistency index (C-index), calibration plots and receiver operating characteristic curve were used to evaluate the predictive accuracy of the nomogram.

Results

The patients were rand

SUBMITTER: Li X 

PROVIDER: S-EPMC10627753 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature