Risk prediction models for non-suicidal self-injurious behavior in patient with depressive disorder: a protocol for systematic review and mata-analyisis

The study will systematically review the prediction models for NSSI in patients with depressive disorders to enhance clinical practice. This research will also assist clinicians in selecting effective prediction models for NSSI in this patient population.

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Publication Details

Journal
PLoS ONE
Published
2025-04-17
DOI
https://doi.org/10.1371/journal.pone.0321561
Primary Topic
Suicide and Self-Harm Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

Risk prediction models for non-suicidal self-injurious behavior in patient with depressive disorder: a protocol for systematic review and mata-analyisis

Xiao Liu, Qiran Zhang, Ling Wang, Jiao Xu et al.
PLoS ONE
Suicide and Self-Harm Studies
article

Risk prediction models for non-suicidal self-injurious behavior in patient with depressive disorder: a protocol for systematic review and mata-analyisis

Xiao Liu, Qiran Zhang, Ling Wang, Jiao Xu, Liu Huang
article en

Abstract

The study will systematically review the prediction models for NSSI in patients with depressive disorders to enhance clinical practice. This research will also assist clinicians in selecting effective prediction models for NSSI in this patient population.

PLoS ONEVol. 20(4)
China Three Gorges University (CN), Integrated Chinese Medicine (China) (HK)
Industry, innovation and infrastructure
Openalex Percentile: Top 89%
Suicide and Self-Harm Studies
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