Evidence map›Paper›PMID 35586416›Full record

ArticleFrontiers in psychiatry2022

Anti-Neuronal Autoantibodies (Cell Surface and Onconeural) and Their Association With Natural Autoantibodies in Synthetic Cannabinoid-Induced Psychosis.

Lídia Hau, Tamás Tényi, Natália László, Márton Áron Kovács, Szabina Erdö-Bonyár, Zsuzsanna Csizmadia, Tímea Berki, Diána Simon, Györgyi Csábi

Abstract read
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Article in Frontiers in psychiatry, 2022. 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

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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.

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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.

Lídia HauDepartment of Pediatrics, Clinical Centre, University of Pécs Medical School, Pécs, Hungary.
Tamás TényiDepartment of Psychiatry and Psychotherapy, Clinical Center, University of Pécs Medical School, Pécs, Hungary.
Natália LászlóDepartment of Pediatrics, Clinical Centre, University of Pécs Medical School, Pécs, Hungary.
Márton Áron KovácsDepartment of Psychiatry and Psychotherapy, Clinical Center, University of Pécs Medical School, Pécs, Hungary.
Szabina Erdö-BonyárDepartment of Immunology and Biotechnology, Clinical Center, University of Pécs Medical School, Pécs, Hungary.
Zsuzsanna CsizmadiaDepartment of Immunology and Biotechnology, Clinical Center, University of Pécs Medical School, Pécs, Hungary.
Tímea BerkiDepartment of Immunology and Biotechnology, Clinical Center, University of Pécs Medical School, Pécs, Hungary.
Diána SimonDepartment of Immunology and Biotechnology, Clinical Center, University of Pécs Medical School, Pécs, Hungary.
Györgyi CsábiDepartment of Pediatrics, Clinical Centre, University of Pécs Medical School, Pécs, Hungary.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patients suffering from encephalitis may present psychiatric symptoms; however, the clinical relevance of anti-neuronal antibodies in patients experiencing a psychotic episode without encephalitis is still unclear. In this study, we examined the presence of anti-neuronal cell surface autoantibodies and onconeural autoantibodies in serum samples of 22 synthetic cannabinoid users presenting with psychosis. We found only two positive cases; however, seven patients had borderline results. Nonetheless, we found no significant correlation between anti-neuronal autoantibodies and the intensity of psychosis indicated by the Positive and Negative Syndrome Scale (PANSS) scores. The length of drug use and the combination of other drugs with synthetic cannabinoids have no significant effect on anti-neuronal autoantibody positivity. Nonetheless, the ratio of anti-citrate synthase (anti-CS) IgM and IgG natural autoantibodies was significantly lower (

Indexed as

anti-citrate synthase antibodiesanti-neuronal autoantibodiesautoimmune encephalitisnatural autoantibodiespsychosissynthetic cannabinoid

Identifiers

PMID35586416
PMCPMC9108165

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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.