Evidence map›Paper›PMID 42037477›Full record

ArticlePsychological medicine2026

Characterizing executive dysfunctions in patients with schizo-obsessive comorbidity: comparing schizophrenia with obsessive-compulsive disorder.

Min-Yi Chu, Neng-Jun Zhu, Shuai-Biao Li, Yi Wang, Zheng-Hui Yi, Yao Zhang, Qin-Yu Lv, Simon S Y Lui, Zhen Wang, Raymond C K Chan

Abstract readComparative Study
In one paragraph

Article in Psychological medicine, 2026. 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

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

1 citing paper in PubMed.

  1. Review
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

10 authors.

Min-Yi ChuShanghai Mental Health Center, https://ror.org/05bd2wa15Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Neng-Jun ZhuSchool of Computer Engineering and Science, https://ror.org/006teas31Shanghai University, Shanghai, China.ORCID 0000-0002-6146-9887
Shuai-Biao LiShanghai Mental Health Center, https://ror.org/05bd2wa15Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yi WangNeuropsychology and Applied Cognitive Neuroscience Laboratory, State Key Laboratory of Cognitive Science and Mental Health, https://ror.org/034t30j35Institute of Psychology, Chinese Academy of Sciences, Beijing, China.ORCID 0000-0001-6880-5831
Zheng-Hui YiShanghai Mental Health Center, https://ror.org/05bd2wa15Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yao ZhangShanghai Mental Health Center, https://ror.org/05bd2wa15Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Qin-Yu LvShanghai Mental Health Center, https://ror.org/05bd2wa15Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID 0000-0002-2536-5749
Simon S Y LuiDepartment of Psychiatry, School of Clinical Medicine, https://ror.org/02zhqgq86The University of Hong Kong, Hong Kong Special Administrative Region, China.ORCID 0000-0001-9360-6244
Zhen WangShanghai Mental Health Center, https://ror.org/05bd2wa15Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID 0000-0003-4319-5314
Raymond C K ChanNeuropsychology and Applied Cognitive Neuroscience Laboratory, State Key Laboratory of Cognitive Science and Mental Health, https://ror.org/034t30j35Institute of Psychology, Chinese Academy of Sciences, Beijing, China.ORCID 0000-0002-3414-450X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe term 'schizo-obsessive comorbidity (SOC)' is used to describe the presence of obsessive-compulsive symptoms or obsessive-compulsive disorder (OCD) in patients with schizophrenia (SOC). Recent studies have found overlapped executive dysfunctions in SCZ and OCD implicating shared pathophysiology. However, specific deficits in the components of executive function (EF) in patients with SOC remains unclear.

methodsWe recruited 37 patients with SOC, 68 patients with SCZ, 70 patients with OCD, and 59 healthy controls (HCs). All participants completed a battery of measures for EF components, namely initiation, sustained attention, online updating, switching, disinhibition, and planning. Apart from traditional group-mean analysis, we applied machine learning approaches to identify the unique patterns of EF among different clinical groups.

resultsThe results showed that the three clinical groups could be distinguished from HCs. The feature importance analysis showed that, to classify clinical groups from HC, online updating was the core feature of SCZ patients, whereas disinhibition and online updating jointly determine classification between OCD patients and HC. In differentiating SOC from HC, online updating, planning, and disinhibition collectively served as key features. Machine learning algorithms classified SOC and OCD with acceptable performance but classified SOC and SCZ with lower performance.

conclusionsDeficits of EF are shared features among patients with SOC, SCZ, and OCD. However, the specific components of executive dysfunction in these clinical groups appeared distinct.

Indexed as

Executive FunctionObsessive-Compulsive DisorderSchizophreniaAdultCase-Control StudiesComorbidityFemaleHumansMachine LearningMaleMiddle AgedNeuropsychological TestsYoung Adultexecutive functionmachine learningobsessive-compulsive disorderschizo-obsessive comorbidityschizophrenia

Identifiers

PMID42037477
PMCPMC13125927

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.