Evidence map›Paper›PMID 42204555›Full record

ReviewChild and adolescent psychiatry and mental health2026

Psychotic-like experiences and non-suicidal self-injury in the community population: a systematic review and meta-analysis.

Rite Si, Chenxi Wang, Yushen Ding, Mathangie Gananathan, Hang Liu, Hexuan Liu, Qijing Bo, Tingting Zhao, Fuchun Zhou, Chuanyue Wang

Abstract readReview
In one paragraph

Review in Child and adolescent psychiatry and mental health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Rite Si *Beijing Key Laboratory of Intelligent Drug Research and Development for Mental Disorders, National Clinical Research Center for Mental Disorders, National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.
Chenxi Wang *Beijing Key Laboratory of Intelligent Drug Research and Development for Mental Disorders, National Clinical Research Center for Mental Disorders, National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.
Yushen Ding *Beijing Key Laboratory of Intelligent Drug Research and Development for Mental Disorders, National Clinical Research Center for Mental Disorders, National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.
Mathangie GananathanBeijing Key Laboratory of Intelligent Drug Research and Development for Mental Disorders, National Clinical Research Center for Mental Disorders, National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.
Hang LiuBeijing Key Laboratory of Intelligent Drug Research and Development for Mental Disorders, National Clinical Research Center for Mental Disorders, National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.
Hexuan LiuBeijing Key Laboratory of Intelligent Drug Research and Development for Mental Disorders, National Clinical Research Center for Mental Disorders, National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.
Qijing BoBeijing Key Laboratory of Intelligent Drug Research and Development for Mental Disorders, National Clinical Research Center for Mental Disorders, National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.
Tingting ZhaoDepartment of Psychiatry, Dali Second People's Hospital, Dali, China. 315248972@qq.com.
Fuchun ZhouBeijing Key Laboratory of Intelligent Drug Research and Development for Mental Disorders, National Clinical Research Center for Mental Disorders, National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China. frankchow@ccmu.edu.cn.
Chuanyue WangBeijing Key Laboratory of Intelligent Drug Research and Development for Mental Disorders, National Clinical Research Center for Mental Disorders, National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.

Funding

the Beijing Hospitals Authority Clinical Medicine Development Special Funding ZLRK202335the Capital's Funds for Health Improvement and Research CFH2024-2-2126the Early Psychosis Cohort Program of Beijing Anding Hospital ADDL-03the National Natural Science Foundation of China 82171501
6 · The paper itself

Abstract

backgroundThe aim of the study was to systematically examine the association between psychotic-like experiences (PLEs) and non-suicidal self-injury (NSSI) in community populations through meta-analysis, with a focus on prospective evidence regarding this association and potential psychosocial correlates.

methodsA comprehensive search was conducted in PubMed, PsycINFO, and Embase from inception to August 2025. Studies reporting quantitative data on the association between PLEs and NSSI in community populations were included. A random-effects meta-analysis was performed to estimate the pooled odds ratio (OR) with 95% confidence interval (CI). This association was further examined through a preliminary prospective meta-analysis of two longitudinal studies reporting adjusted odds ratios for the prediction of incident NSSI by baseline PLEs. Potential sources of heterogeneity were explored by exploratory subgroup analyses across study design, geographical region, gender composition, NSSI assessment methods, and assessment time window match between PLEs and NSSI.

resultsEight studies involving 19,719 participants were included in the meta-analysis, and an additional eleven studies were included in the narrative synthesis. Individuals with PLEs had a significantly increased odds of NSSI compared to those without PLEs (OR = 3.09, 95% CI [2.05-4.66], p < 0.001). A prospective analysis of two longitudinal studies indicated that baseline PLEs significantly predicted incident NSSI at follow-up (OR = 2.17, 95% CI [1.56-3.02]). The estimated prevalence of PLEs and NSSI in community populations was 11.0% (95% CI [7.9%-15.2%]) and 6.9% (95% CI [4.3%-11.1%]), respectively. Narrative synthesis suggested that depressive symptoms, childhood adversity, bullying victimization, and pandemic-related stress were associated with higher odds of NSSI, whereas social support was associated with lower odds.

conclusionsThe findings demonstrate a robust association between PLEs and NSSI in community populations. Preliminary prospective evidence from a limited number of longitudinal studies further suggests that baseline PLEs may predict incident NSSI at follow-up, although this finding warrants confirmation in future research.

Indexed as

Community populationDepressionNon-suicidal self-injuryProspective associationPsychotic-like experiences

Identifiers

PMID42204555
PMCPMC13465242

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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.