Evidence map›Paper›PMID 40629434›Full record

ArticleBMC psychology2025

Assessment of suicidal risk factors in young depressed persons with non-suicidal self-injury based on an artificial intelligence.

Xuanyan Zhu, Yun Chen, Zhongyi Jiang, Ran Bi, Qiaoyang Zhang, Yanli Chen, Yupeng Jiang, Yin Cao, Guanzhong Dong

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC psychology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

9 authors.

Xuanyan Zhu *Department of Psychology, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou, China.
Yun Chen *Department of Psychology, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou, China.
Zhongyi JiangSchool of Computer and Artificial Intelligence, Changzhou University, Changzhou, China.
Ran BiDepartment of Psychology, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou, China.
Qiaoyang ZhangDepartment of Psychology, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou, China.
Yanli ChenChangzhou Medical Center, Nanjing Medical University, Changzhou, 213003, China.
Yupeng JiangThe Second Clinical Medical College, Xuzhou Medical University., Xuzhou, China.
Yin CaoDepartment of Psychology, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou, China. czeyxlk@163.com.
Guanzhong DongDepartment of Psychology, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou, China. donggz338@njmu.edu.cn.

Funding

China Postdoctoral Science Foundation 2023T160070 and 2023M740372Jiangsu Province Traditional Chinese Medicine Science and Technology Development Plan Surface Project MS2023087Postdoctoral research funding from Changzhou Medical Center, Nanjing Medical University CZKYCMCP202302the Changzhou Medical Center, Nanjing Medical University Project CMCC202216
6 · The paper itself

Abstract

introductionThe role of non-suicidal self-injury (NSSI) in the suicide process of people with major depressive disorder(MDD) remains controversial. Therefore, the purpose of this study was to investigate the role NSSI plays in suicide risk in people with MDD.

methodsA questionnaire survey was compiled using the Hamilton Depression Scale-24, the Baker Suicide Risk Scale, and the Deliberate self-harm Scale. The correlation between NSSI, depression, and suicide risk was analyzed using the gradient-lifting regression model.

resultsA total of 179 people with MDD aged 15-24 years were included in this study. NSSI had the highest incidence among high school students(63.3%), regardless of sex. Furthermore, the incidence of NSSI was high among patients with depression with a history of smoking(p < 0.0002) and drinking(p < 0.001). NSSI partially mediated the risk of suicide in people with depression.

conclusionThe findings demonstrate a significant association between NSSI and elevated suicide risk scores in individuals with MDD, with NSSI acting as a partial mediator in this relationship.

Indexed as

Artificial IntelligenceMajor Depressive DisorderSelf-Injurious BehaviorSuicideAdolescentAdultFemaleHumansMaleRisk AssessmentRisk FactorsSurveys and QuestionnairesYoung AdultMachine learningMajor depressive disorderMediating factorsNSSISuicide risk

Identifiers

PMID40629434
PMCPMC12235996

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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.