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Dataset Information

Identification of risk factors for attempted suicide by self-poisoning and a nomogram to predict self-poisoning suicide.


ABSTRACT:

Purpose

Suicide is a global concern, especially among young people. Suicide prediction models have the potential to make it easier to identify patients who are at a high risk of suicide, but they have very little predictive power when there is a positive value for suicide mortality. Therefore, the aim of the study is to uncover potential risk factors associated with suicide by self-poisoning and further to provide a trustworthy nomogram to predict self-poisoning suicide among poisoned patients.

Methods

This study prospectively enrolled 237 patients who were treated for poisoning at the Fifth Medical Center of PLA General Hospital (Beijing) between May 2021 and May 2022. Patient's basic characteristics, daily activities, mental health status, and history of psychological illn

SUBMITTER: Zheng W 

PROVIDER: S-EPMC10031109 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature