Evidence map›Paper›PMID 39085826›Full record

ArticleBMC psychiatry2024

Investigation of peripheral inflammatory biomarkers in association with violence in schizophrenia.

Tao Yu, Wenzhi Pei, Chunyuan Xu, Xulai Zhang, Chenchen Deng

Abstract read
In one paragraph

Article in BMC psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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.

Tao Yu *Affiliated Psychological Hospital of Anhui Medical University; Anhui Mental Health Center; Hefei Fourth People's Hospital; Anhui Clinical Research Center for mental disorders, Hefei, Anhui, 230022, China.
Wenzhi Pei *Affiliated Psychological Hospital of Anhui Medical University; Anhui Mental Health Center; Hefei Fourth People's Hospital; Anhui Clinical Research Center for mental disorders, Hefei, Anhui, 230022, China.
Chunyuan XuAffiliated Psychological Hospital of Anhui Medical University; Anhui Mental Health Center; Hefei Fourth People's Hospital; Anhui Clinical Research Center for mental disorders, Hefei, Anhui, 230022, China.
Xulai ZhangAffiliated Psychological Hospital of Anhui Medical University; Anhui Mental Health Center; Hefei Fourth People's Hospital; Anhui Clinical Research Center for mental disorders, Hefei, Anhui, 230022, China. 479800330@qq.com.
Chenchen DengHefei Maternity & Child Health Hospital, Hefei, Anhui, 230022, China. 337217409@qq.com.

Funding

Department of Science and Technology of Anhui Province 201904a0702009Hefei Fourth People's Hospital HFSY2023YB12
6 · The paper itself

Abstract

backgroundViolent behavior carried out by patients with schizophrenia (SCZ) is a public health issue of increasing importance that may involve inflammation. Peripheral inflammatory biomarkers, such as the systemic immune inflammation index (SII), the neutrophil lymphocyte ratio (NLR), the platelet-lymphocyte ratio (PLR) and the monocyte lymphocyte ratio (MLR) are objective, easily accessible and cost-effective measures of inflammation. However, there are sparse studies investigating the role of peripheral inflammatory biomarkers in violence of patients with SCZ.

methods160 inpatients diagnosed with SCZ between January and December 2022 were recruited into this study. Violent behavior and positive symptoms of all participants were evaluated using Modified Overt Aggression Scale (MOAS) and Positive and Negative Syndrome Scale (PANSS), respectively. The partial correlation analysis was performed to examine the relationship of inflammatory indices and positive symptoms. Based on machine learning (ML) algorithms, these different inflammatory indices between groups were used to develop predictive models for violence in SCZ patients.

resultsAfter controlling for age, SII, NLR, MLR and PANSS positive scores were found to be increased in SCZ patients with violence, compared to patients without violence. SII, NLR and MLR were positively related to positive symptoms in all participants. Positive symptoms partially mediated the effects of peripheral inflammatory indices on violent behavior in SCZ. Among seven ML algorithms, penalized discriminant analysis (pda) had the best performance, with its an area under the receiver operator characteristic curve (AUC) being 0.7082. Subsequently, with the use of pda, we developed predictive models using four inflammatory indices, respectively. SII had the best performance and its AUC was 0.6613.

conclusionsThese findings suggest that inflammation is involved in violent behavior of SCZ patients and positive symptoms partially mediate this association. The models built by peripheral inflammatory indices have a good median performance in predicting violent behavior in SCZ patients.

Indexed as

BiomarkersInflammationSchizophreniaViolenceAdultFemaleHumansLymphocytesMachine LearningMaleMiddle AgedMonocytesNeutrophilsBiomarkersInflammationSchizophreniaViolence

Identifiers

PMID39085826
PMCPMC11293062

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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.