Risk factor analysis and nomogram construction for predicting suicidal ideation in patients with cancer.

ABSTRACT:

Background

Suicidal ideation in cancer patients is a critical challenge. At present, few studies focus on factors associated with suicidal ideation, and predictive models are still lacking. This study aimed at investigating the risk factors for suicidal ideation among cancer patients, and developed a predictive nomogram to screen high risk cancer patients for early prevention and intervention.

Methods

A questionnaire survey was conducted among cancer patients between May 2021 and January 2022. The factors associated with suicidal ideation were used to construct a multivariate logistic regression model, which was visualized as a predictive nomogram to evaluate the risk of suicidal ideation. Areas under the curve, calibration plot, decision curve analysis, and internal and ext

SUBMITTER: Luo Y 

PROVIDER: S-EPMC9128228 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature