Construction and evaluation of leukemia suicide risk predictive model based on SEER database.

ABSTRACT:

Background

A marked increase in suicide rate has been detected among individuals diagnosed with leukemia. Our research aimed to develop a predictive model intended for assessing the suicide risk in leukemia patients. This novel tool aims to optimize the process of pinpointing individuals at high risk within clinical environments, thereby guaranteeing the timely provision of targeted intervention strategies.

Methods

Between 2000 and 2020, our study involved a cohort of 194584 leukemia patients, extracted from the Surveillance, Epidemiology, and End Results (SEER) database. These patients were randomly stratified into distinct training and validation cohorts. We utilized the Cox proportional hazards model to screen for influential variables and construct a predictive nomogram

SUBMITTER: Zheng S 

PROVIDER: S-EPMC11885224 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature