Development and validation of a nomogram for predicting outcomes in ovarian cancer patients with liver metastases.

ABSTRACT:

Purpose

To develop and validate a nomogram for predicting the overall survival (OS) of ovarian cancer patients with liver metastases (OCLM).

Methods

This study identified 821 patients in the Surveillance, Epidemiology, and End Results (SEER) database. All patients were randomly divided in a ratio of 7:3 into a training cohort (n = 574) and a validation cohort (n = 247). Clinical factors associated with OS were assessed using univariate and multivariate Cox regression analyses, and backward stepwise regression was applied using the Akaike information criterion (AIC) to select the optimal predictor variables. The nomogram for predicting the OS of the OCLM patients was constructed based on the identified prognostic factors. Their prediction ability was evaluated using the conco

SUBMITTER: Xiao H 

PROVIDER: S-EPMC11619217 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature