Establishment and validation of a nomogram model for predicting early death in patients with endometrial cancer bone metastases.

ABSTRACT:

Background

Patients with endometrial cancer bone metastases (ECBM) are clinically rare and have a poor prognosis, including a higher incidence of early death (survival ≤ 3 months). Currently, no practical tools exist to predict early mortality in these patients. Thus, there is an urgent need to develop clinically applicable predictive models, such as nomograms, for individualized assessment of early death risk in ECBM.

Methods

Relevant clinical and pathological data for ECBM patients from the SEER database (2010-2021). Univariate and multivariate logistic regression analyses were performed to identify risk factors associated with early death in ECBM patients and to construct prognostic nomograms. ROC analysis, calibration curves, and decision curve analysis (DCA) were used t

SUBMITTER: Tang Q 

PROVIDER: S-EPMC12520879 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature