Evidence map›Paper›PMID 40337951›Full record

ArticlePersonality and mental health2025

Clinicians' Assessment of Antisocial Personality Disorder (ASPD): A Network Analysis Approach on DSM-5-TR Criteria and Domains.

Alessio Gori, Eleonora Topino, Carla Sharp

Abstract read
In one paragraph

Article in Personality and mental health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Trial
  2. 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

3 authors.

Alessio GoriDepartment of Health Sciences, University of Florence, Florence, Italy.ORCID 0000-0002-6867-2319
Eleonora TopinoDepartment of Human Sciences, LUMSA University of Rome, Rome, Italy.
Carla SharpDepartment of Psychology, 3695 Cullen Blvd., Room 126, University of Houston, Houston, Texas, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antisocial Personality Disorder (ASPD) is a personality disorder that entails significant impairments and/or costs at the individual, interpersonal, and community levels. Given its clinical relevance, scientific research is placing a significant focus on the study of the central characteristics of this condition to guide prevention and clinical practice. Within this framework, the present study aimed to investigate the associations and centrality of ASPD criteria and maladaptive trait domains in mental health professionals' conceptualization of the disorder, thus taking into account both categorical and dimensional approaches to personality pathology. The research involved 322 mental health professionals who reviewed the importance of ASPD criteria (Section II) and maladaptive trait domains (Criterion B of Section III). Data were analyzed using a network analysis approach. Both edge weights and node centrality were investigated. Within the criteria network, all centrality indices unanimously highlighted the role of lack of remorse. Regarding the trait domain network, the contributions of antagonism, detachment, and disinhibition were emphasized. The findings of this research collect and systematize the mental health professionals' perspective through the network analysis approach to provide further understanding of ASPD's central features. Such data may have useful practical implications for both research and clinical practice.

Indexed as

Antisocial Personality DisorderDiagnostic and Statistical Manual of Mental DisordersHealth PersonnelAdultFemaleHumansMaleMiddle Agedantagonismantisocial personality disorderdetachmentdisinhibitionlack of remorsenetwork analysispersonality disorder

Identifiers

PMID40337951
PMCPMC12058318

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.