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ArticlePCN reports : psychiatry and clinical neurosciences2025

Predictors of psychotic experiences among adolescents with obsessive-compulsive symptoms: A data-driven machine learning approach.

Yutaka Sawai, Riki Tanaka, Rin Minami, Daiki Nagaoka, Akito Uno, Ayako Okuma, Syudo Yamasaki, Mitsuhiro Miyashita, Atsushi Nishida, Kiyoto Kasai and 1 more

Abstract read
In one paragraph

Article in PCN reports : psychiatry and clinical neurosciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

11 authors.

Yutaka SawaiDepartment of Neuropsychiatry Graduate School of Medicine, The University of Tokyo Tokyo Japan.ORCID 0009-0005-4440-8272
Riki TanakaDepartment of Neuropsychiatry Graduate School of Medicine, The University of Tokyo Tokyo Japan.
Rin MinamiDepartment of Neuropsychiatry Graduate School of Medicine, The University of Tokyo Tokyo Japan.
Daiki NagaokaDepartment of Neuropsychiatry Graduate School of Medicine, The University of Tokyo Tokyo Japan.ORCID 0000-0001-6054-3363
Akito UnoDepartment of Neuropsychiatry Graduate School of Medicine, The University of Tokyo Tokyo Japan.
Ayako OkumaDepartment of Neuropsychiatry Graduate School of Medicine, The University of Tokyo Tokyo Japan.
Syudo YamasakiResearch Center for Social Science & Medicine Tokyo Metropolitan Institute of Medical Science Tokyo Japan.
Mitsuhiro MiyashitaResearch Center for Social Science & Medicine Tokyo Metropolitan Institute of Medical Science Tokyo Japan.ORCID 0000-0002-7798-1834
Atsushi NishidaResearch Center for Social Science & Medicine Tokyo Metropolitan Institute of Medical Science Tokyo Japan.
Kiyoto KasaiDepartment of Neuropsychiatry Graduate School of Medicine, The University of Tokyo Tokyo Japan.
Shuntaro AndoDepartment of Neuropsychiatry Graduate School of Medicine, The University of Tokyo Tokyo Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: Prediction of future psychosis in individuals with obsessive and compulsive (OC) symptoms is crucial for treatment choice, but only a few predictors have been revealed. Although OC symptoms and psychotic experiences (PEs) are common in adolescence, no studies have revealed the predictors of subsequent PEs in adolescents with OC symptoms. We aimed to explore the predictors for subsequent PEs among adolescents with OC symptoms, using a data-driven machine-learning approach on an adolescent cohort. Methods: We used data from a cohort study on the general population of adolescents in Tokyo ( Results: The predicting model demonstrated a good performance (test area under the curve = 0.80 ± 0.05). Other than known risk factors for PEs, novel predictors of subsequent PEs among adolescents with OC symptoms included: lack of interaction with people of different ages, desire to be like their father in the future, and nonworking of primary caregiver when they were 5 years old. Not sharing their belongings readily with other children was a strong predictor of having no PEs. Conclusion: Close-knit family bonds and limited social connections outside the family predict the later PEs among adolescents with OC symptoms.

Indexed as

data‐driven approachgeneral populationmachine learningobsessive–compulsive symptomspsychotic experiences

Identifiers

PMID40321470
PMCPMC12045784

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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.