Evidence map›Paper›PMID 40312443›Full record

ArticleScientific reports2025

Predicting models for work outcomes in patients with schizophrenia and its clinical application.

Chika Sumiyoshi, Satsuki Ito, Junya Matsumoto, Hidenaga Yamamori, Michiko Fujimoto, Yuka Yasuda, Tomiki Sumiyoshi, Ryota Hashimoto

Abstract read
In one paragraph

Article in Scientific reports, 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. Article
  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

8 authors.

Chika SumiyoshiFaculty of Human Development and Culture, Fukushima University, 1 Kanayagawa, Fukushima, Fukushima, 960-1296, Japan. sumiyoshi@educ.fukushima-u.ac.jp.
Satsuki ItoDepartment of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo, Japan.
Junya MatsumotoDepartment of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo, Japan.
Hidenaga YamamoriDepartment of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo, Japan.
Michiko FujimotoDepartment of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo, Japan.
Yuka YasudaDepartment of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo, Japan.
Tomiki SumiyoshiDepartment of Preventive Intervention for Psychiatric Disorders, National Center of Neurology and Psychiatry, National Institute of Mental Health, Tokyo, Japan.
Ryota HashimotoDepartment of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo, Japan.

Funding

Intramural Research Grant for Neurological and Psychiatric Disorders of NCNP 3-1, 6-1Intramural Research Grant for Neurological and Psychiatric Disorders of NCNP 5-3, 6-1Japan Agency for Medical Research and Development (AMEDJ JP21wm0425012, JP21uk1024002, JP21dk0307103, JP22tm0424222, Brain/MINDS & beyond studies Grant Number 24dk0307132the Health and Labour Sciences Research Grant for Comprehensive Research on Persons with Disabilities from AMED JP24dk0307114the Japan Society for the Promotion of Science KAKENHI JP23H03610the JSPS Grant-in-Aid for Scientific Research (B) JP20H03611the JSPS Grant-in-Aid for Specially Promoted Research JP19H05467the Promotion of Science (JSPS) KAKENHI JP20K03433
6 · The paper itself

Abstract

Negative symptoms and social function have been known to predict work outcomes in patients with schizophrenia. Recent studies report that specific subdomains of these predictors were particularly important in prediction. The aims of this study were (1) to determine which subdomains of negative symptoms and social function were the most important predictors of work outcomes among patients with schizophrenia, and (2) to use these factors to produce charts to demonstrate the estimated probabilities of workable hours. Data were obtained from 293 patients with schizophrenia. Four separate logistic regression analyses were conducted using psychiatric symptoms, intellectual ability, and social function as independent variables to predict work hours (0, 10, 20, or 30 h per week). The Experiential deficit domain of negative symptoms, comprising of volitional, social, and hedonic deficits, and the Independence-Performance domain including self-care and daily-living skills were significant in most regression models. Charts illustrating the probabilities of the ability to work were produced based on these two predictors. Our study identified specific domains of negative symptoms and social function were relevant to work outcomes in patients with schizophrenia. The charts illustrating the probabilities of workable hours provide objective information about the capacity to work among patients with schizophrenia.

Indexed as

SchizophreniaSchizophrenic PsychologyAdultFemaleHumansMaleMiddle AgedNegative symptomsSchizophreniaSocial functionWork outcomes

Identifiers

PMID40312443
PMCPMC12045945

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Registered trials

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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.