Evidence map›Paper›PMID 36309882›Full record

Observational studyEuropean archives of psychiatry and clinical neuroscience2023

Cognitive and clinical characteristics of offenders and non-offenders diagnosed with schizophrenia spectrum disorders: results of the Recoviwel observational study.

Stefano Barlati, Gabriele Nibbio, Valentina Stanga, Giulia Giovannoli, Irene Calzavara-Pinton, Nicola Necchini, Jacopo Lisoni, Giacomo Deste, Antonio Vita

Abstract readObservational Study
PubMed Publisher
In one paragraph

Observational study in European archives of psychiatry and clinical neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 7% of its field
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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

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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

9 authors at 2 institutions in 1 country.

Stefano BarlatiDepartment of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy. stefano.barlati@unibs.it.ORCID http://orcid.org/0000-0002-1784-3915
Gabriele NibbioDepartment of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy.
Valentina StangaDepartment of Mental Health and Addiction Services, ASST Spedali Civili of Brescia, Brescia, Italy.
Giulia GiovannoliDepartment of Mental Health and Addiction Services, ASST Spedali Civili of Brescia, Brescia, Italy.
Irene Calzavara-PintonDepartment of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy.
Nicola NecchiniDepartment of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy.
Jacopo LisoniDepartment of Mental Health and Addiction Services, ASST Spedali Civili of Brescia, Brescia, Italy.
Giacomo DesteDepartment of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy.
Antonio VitaDepartment of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy.
Azienda Socio Sanitaria Territoriale degli Spedali Civili di Brescia · ITUniversity of Brescia · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The association between schizophrenia spectrum disorders (SSD) and violent behavior is complex and requires further research. The cognitive correlates of violent behavior, in particular, remain to be further investigated. Aims of the present study were to comprehensively assess the cognitive and clinical profile of SSD violent offenders and evaluate individual predictors of violent behavior. Fifty inmates convicted for violent crimes in a forensic psychiatry setting and diagnosed with SSD were compared to fifty non-offender patients matched for age, gender, education, and diagnosis. Offender and non-offender participants were compared based on socio-demographic, clinical, and cognitive variables using non-parametric testing to select potential predictors of violent behavior. Multivariate logistic regressions were then performed to identify individual predictors of violent behavior. Offender participants showed more school failures, higher prevalence of substance use, higher Clinical Global Impression Severity Scale (CGI-S) and Positive and Negative Syndrome Scale Excited Component (PANSS-EC) scores, worse working memory and better attention performance, higher Historical Clinical and Risk Management scale 20 (HCR-20) and Hare Psychopathy Checklist (PCL-R) scores in all subdomains and factors. School failures, higher PANSS-EC scores, worse working memory and processing speed, better attention performance, higher scores in HCR-20 Management subscale and the PCL-R "Callous" factor emerged as predictors of violent behavior. Better attentional performance was correlated with higher PCL-R "Callous" factor scores, worse cognitive performance in several domains with higher PCL-R "Unstable" factor scores. In conclusion, the present study highlights the importance of carefully assessing SSD patients with violent behavior in all clinical, cognitive, and behavioral aspects.

Indexed as

SchizophreniaAggressionAntisocial Personality DisorderCognitionHumansViolenceCognitionForensic settingPsychopathySchizophrenia spectrum disordersSevere mental illnessSocial cognitionViolence

Identifiers

PMID36309882
OpenAlexW4307657359

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.