Evidence map›Paper›PMID 40586054›Full record

ArticlePsychoradiology2025

Detection of suicide risk using event-related potentials: a comprehensive systematic review and meta-analysis.

Qianlan Yin, Huijing Xu, Zhuyu Chen, Qian Jiang, Taosheng Liu

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Article in Psychoradiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Qianlan YinDepartment of Psychiatry, Faculty of Psychology and Mental Health, Naval Medical University, Shanghai, 200433, China.ORCID https://orcid.org/0000-0001-8621-5392
Huijing XuDepartment of Psychiatry, Faculty of Psychology and Mental Health, Naval Medical University, Shanghai, 200433, China.
Zhuyu ChenDepartment of Psychiatry, Faculty of Psychology and Mental Health, Naval Medical University, Shanghai, 200433, China.
Qian JiangDepartment of Psychiatry, Faculty of Psychology and Mental Health, Naval Medical University, Shanghai, 200433, China.
Taosheng LiuDepartment of Psychiatry, Faculty of Psychology and Mental Health, Naval Medical University, Shanghai, 200433, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Suicide has profound effects on individuals, families, and societies globally, underscoring the urgent need for effective early detection and prevention strategies. This systematic review aims to investigate the use of event-related potentials (ERPs) as a tool for identifying and monitoring suicide risk. Methods: A comprehensive literature search was conducted, resulting in the inclusion of 23 articles that met the eligibility criteria. The review synthesized findings related to various ERP components associated with suicide risk. Results: The analysis revealed that individuals with a history of suicide risk exhibited significantly reduced P3 amplitudes in response to novel stimuli during the go/no-go paradigm compared to healthy controls [standardized mean difference (SMD) = -0.53, 95% confidence interval (CI) = [-0.96; -0.10]]. Additionally, altered P3 responses to positive feedback on rewards indicated impairments in those at risk (SMD = -1.12, 95% CI = [-1.74; -0.49]). Variability in other ERP components was also highlighted, with several moderators, such as sample characteristics and methodological design, influencing ERP components. Conclusion: The findings suggest that specific ERP components, particularly the P3, may serve as valuable indicators for assessing suicide risk. The review emphasizes the need for future research to utilize larger, more homogeneous samples and advanced analytical techniques to enhance detection accuracy. The application of ERPs is posited as a promising avenue for improving understanding of the neurocognitive mechanisms associated with suicide risk and enhancing prevention efforts.

Indexed as

cognitive processingelectroencephalography (EEG)event-related potentials (ERPs)neural indicatorsP3suicide risk

Identifiers

PMID40586054
PMCPMC12205307

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.