Evidence map›Paper›PMID 40364997›Full record

ArticleFrontiers in psychiatry2025

Exploring the role of autistic traits in treatment-resistant and clozapine-resistant schizophrenia: a comparative study.

Ahmet Selim Başaran, Nur Nihal Türkel, Buket Koparal, Aslı Kuruoğlu

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Article in Frontiers in psychiatry, 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

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Ahmet Selim BaşaranUnye State Hospital, Ordu, Türkiye.
Nur Nihal TürkelPenitentiary Campus State Hospital, Ankara, Türkiye.
Buket KoparalFaculty of Medicine, Gazi University, Ankara, Türkiye.
Aslı KuruoğluFaculty of Medicine, Gazi University, Ankara, Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Treatment resistance in schizophrenia is a major clinical challenge. While autistic traits are often more pronounced in patients with treatment-resistant schizophrenia (TRS), limited data exist on clozapine-resistant schizophrenia (CRS). This study aims to explore the relationship between autistic traits and treatment resistance in schizophrenia, with a focus on both TRS and CRS and to evaluate whether these traits could predict treatment outcomes. Methods: A total of 86 patients were included, divided into three groups: non-treatment-resistant schizophrenia (NRS, n=37), treatment-resistant schizophrenia (TRS, n=26), and clozapine-resistant schizophrenia (CRS, n=23). Psychopathology was assessed using the Positive and Negative Syndrome Scale (PANSS), while autistic traits were measured with the PANSS Autism Severity Scale (PAUSS) and the Autism Spectrum Quotient (AQ). Multinomial logistic regression models were used to determine the predictive value of autistic traits for TRS and CRS. Results: Statistically significant differences were identified between the groups in PAUSS (p<0.001) and AQ (p<0.001) scores, indicating variations in autistic traits. PAUSS scores were predictive of TRS and CRS relative to NRS but did not differ between TRS and CRS. In contrast, AQ scores showed significant differences between TRS and CRS. Both PAUSS and AQ were negatively correlated with functionality as measured by the Global Assessment of Functioning, highlighting the impact of autistic traits on daily functioning. Conclusions: The results indicate that autistic traits are associated with resistance to treatment, as PAUSS scores are predictive of the development of treatment-resistant and clozapine-resistant schizophrenia. However, the lack of statistically significant differences between TRS and CRS in PAUSS scores suggests that clozapine resistance may be influenced by additional factors beyond the autistic traits measured by PAUSS. To better understand the relationship between clozapine resistance and autistic traits, future research should not only focus on the autistic traits captured by PAUSS but also consider broader autism phenotypes or other distinct psychopathological processes. Such studies could offer deeper insights into the complex mechanisms that drive clozapine resistance and help identify new paths for treatment and intervention.

Indexed as

autism spectrum disorderautistic traitsclozapine-resistant schizophreniaschizophreniatreatment-resistant schizophrenia

Identifiers

PMID40364997
PMCPMC12069336

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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.