Nomogram for predicting the early death of patients with stage IV ovarian cancer: a retrospective analysis of the SEER database.

ABSTRACT:

Background

Ovarian cancer is a major health problem for women all over the world and tends to progress to advanced stages. Therefore, it is important to predict the early survival of patients with advanced ovarian cancer. The purpose of this study is to assist clinicians in predicting the short-term prognosis of patients with stage IV ovarian cancer in order to make optimal medical decisions.

Methods

A retrospective analysis was conducted on data from the Surveillance, Epidemiology, and End Results database, involving 3,077 patients with stage IV ovarian cancer. Univariate and multivariate logistic regression analyses were performed to identify risk factors. Using R software, relevant predictive models were constructed. The calibration, discrimination, and clinical utility o

SUBMITTER: Chen P 

PROVIDER: S-EPMC11651799 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature