Evidence map›Paper›PMID 33422041›Full record

ArticleBMC psychiatry2021

Verification of using virtual reality to evaluate deficiencies in cognitive function among patients with schizophrenia in the remission stage: a cross-sectional study.

Bochao Huang, Shangda Li, Bing Sun, Hailong Lyu, Weijuan Xu, Jianping Jiao, Fen Pan, Jianbo Hu, Jinkai Chen, Yaping Chen and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMC psychiatry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.1field-weighted citation impact, top 13% of its field
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

5 citing papers in PubMed, 15 citations in OpenAlex.

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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

12 authors at 1 institution in 1 country.

Bochao HuangDepartment of Psychiatry, The First Affiliated Hospital, Zhejiang University School of Medicine, The Key Laboratory of Mental Disorder's Management of Zhejiang Province, Zhejiang University Brain Research Institute, Zhejiang Engineering Center for Mathematical Mental Health, 79 Qing Chun Road, Hangzhou, 310003, Zhejiang Province, China.
Shangda LiDepartment of Psychiatry, The First Affiliated Hospital, Zhejiang University School of Medicine, The Key Laboratory of Mental Disorder's Management of Zhejiang Province, Zhejiang University Brain Research Institute, Zhejiang Engineering Center for Mathematical Mental Health, 79 Qing Chun Road, Hangzhou, 310003, Zhejiang Province, China.
Bing SunDepartment of Psychiatry, The First Affiliated Hospital, Zhejiang University School of Medicine, The Key Laboratory of Mental Disorder's Management of Zhejiang Province, Zhejiang University Brain Research Institute, Zhejiang Engineering Center for Mathematical Mental Health, 79 Qing Chun Road, Hangzhou, 310003, Zhejiang Province, China.
Hailong LyuDepartment of Psychiatry, The First Affiliated Hospital, Zhejiang University School of Medicine, The Key Laboratory of Mental Disorder's Management of Zhejiang Province, Zhejiang University Brain Research Institute, Zhejiang Engineering Center for Mathematical Mental Health, 79 Qing Chun Road, Hangzhou, 310003, Zhejiang Province, China.
Weijuan XuDepartment of Psychiatry, The First Affiliated Hospital, Zhejiang University School of Medicine, The Key Laboratory of Mental Disorder's Management of Zhejiang Province, Zhejiang University Brain Research Institute, Zhejiang Engineering Center for Mathematical Mental Health, 79 Qing Chun Road, Hangzhou, 310003, Zhejiang Province, China.
Jianping JiaoDepartment of Psychiatry, The First Affiliated Hospital, Zhejiang University School of Medicine, The Key Laboratory of Mental Disorder's Management of Zhejiang Province, Zhejiang University Brain Research Institute, Zhejiang Engineering Center for Mathematical Mental Health, 79 Qing Chun Road, Hangzhou, 310003, Zhejiang Province, China.
Fen PanDepartment of Psychiatry, The First Affiliated Hospital, Zhejiang University School of Medicine, The Key Laboratory of Mental Disorder's Management of Zhejiang Province, Zhejiang University Brain Research Institute, Zhejiang Engineering Center for Mathematical Mental Health, 79 Qing Chun Road, Hangzhou, 310003, Zhejiang Province, China.
Jianbo HuDepartment of Psychiatry, The First Affiliated Hospital, Zhejiang University School of Medicine, The Key Laboratory of Mental Disorder's Management of Zhejiang Province, Zhejiang University Brain Research Institute, Zhejiang Engineering Center for Mathematical Mental Health, 79 Qing Chun Road, Hangzhou, 310003, Zhejiang Province, China.
Jinkai ChenDepartment of Psychiatry, The First Affiliated Hospital, Zhejiang University School of Medicine, The Key Laboratory of Mental Disorder's Management of Zhejiang Province, Zhejiang University Brain Research Institute, Zhejiang Engineering Center for Mathematical Mental Health, 79 Qing Chun Road, Hangzhou, 310003, Zhejiang Province, China.
Yaping ChenNingbo Psychiatric Hospital, 11 Rixingfang, Jiangbei District, Ningbo, 315032, Zhejiang province, China.
Manli HuangDepartment of Psychiatry, The First Affiliated Hospital, Zhejiang University School of Medicine, The Key Laboratory of Mental Disorder's Management of Zhejiang Province, Zhejiang University Brain Research Institute, Zhejiang Engineering Center for Mathematical Mental Health, 79 Qing Chun Road, Hangzhou, 310003, Zhejiang Province, China. huangmanli@zju.edu.cn.
Yi XuDepartment of Psychiatry, The First Affiliated Hospital, Zhejiang University School of Medicine, The Key Laboratory of Mental Disorder's Management of Zhejiang Province, Zhejiang University Brain Research Institute, Zhejiang Engineering Center for Mathematical Mental Health, 79 Qing Chun Road, Hangzhou, 310003, Zhejiang Province, China. xuyizju@zju.edu.cn.ORCID 0000-0002-8773-8264
First Affiliated Hospital Zhejiang University · CN

Funding

Basic Public Welfare Research projects in Zhejiang Province LGF18H090003Major Subject of Zhejiang Province 2015C03054National Key Research and Development Program of China 2016YFC1306900National Key Research and Development Program of China 2016YFC1307005Zhejiang Provincial Science and Technology Department 2016C37076
6 · The paper itself

Abstract

backgroundSchizophrenia is associated with widespread cognitive impairment. The MATRICS Consensus Cognitive Battery (MCCB) is most frequently used to assess cognitive function. However, the MCCB test is time consuming for the clinician. Virtual reality (VR) has emerged as an adjunctive tool to overcome this limitation and provides a new means to assess cognitive function.

methodsThe present study examined the validity and safety of using VR technology to assess cognitive function in Han Chinese patients with schizophrenia (SZs). The VR cognition training system (VRCTS) was used to simulate real-life supermarkets and assess cognitive function. Thirty-two SZs and 25 healthy controls (HCs) underwent VRCTS and MCCB assessments. An auxiliary diagnosis model was created based on the outcomes of the VRCTS to classify SZs and HCs by cognitive impairment.

resultsSignificant differences in completion time between the SZs and HCs were detected using the VRCTS. SZs spent more time completing tasks than HCs. The outcome of VRCTS significantly correlated with the MCCB. The auxiliary diagnosis model had a sensitivity of 88.89% and a specificity of 88.89%.

conclusionsThese results support the use of VR technology in the assessment of cognitive impairment in Han Chinese schizophrenia patients.

trial registrationChina Clinical Trial Registry, ChiVTR1800016121. Registered 13 May 2018, http://www.chictr.org.cn/showproj.aspx?proj=27233.

Indexed as

SchizophreniaVirtual RealityChinaCognitionCross-Sectional StudiesHumansNeuropsychological TestsSchizophrenic PsychologyCognitive functionMCCBSchizophreniaVirtual reality

Identifiers

PMID33422041
PMCPMC7796627
OpenAlexW3119115303

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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.