Evidence map›Paper›PMID 35859598›Full record

ArticleFrontiers in psychiatry2022

The Chinese Brief Cognitive Test: Normative Data Stratified by Gender, Age and Education.

Shuling Ye, Mengjuan Xie, Xin Yu, Renrong Wu, Dengtang Liu, Shaohua Hu, Yong Xu, Huanzhong Liu, Xijin Wang, Gang Zhu and 11 more

Open access · goldAbstract read
In one paragraph

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 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

23 citing papers in PubMed, 23 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

21 authors at 17 institutions in 1 country.

Shuling YePeking University Institute of Mental Health (Sixth Hospital), Beijing, China.
Mengjuan XiePeking University Institute of Mental Health (Sixth Hospital), Beijing, China.
Xin YuPeking University Institute of Mental Health (Sixth Hospital), Beijing, China.
Renrong WuInstitute of Mental Health of Second Xiangya Hospital, Central South University, Changsha, China.
Dengtang LiuDivision of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Shaohua HuDepartment of Psychiatry, First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Yong XuDepartment of Psychiatry, First Clinical Medical College/First Hospital of Shanxi Medical University, Taiyuan, China.
Huanzhong LiuDepartment of Psychiatry, Chaohu Hospital, Anhui Medical University, Hefei, China.
Xijin WangThe First Harbin Psychiatric Hospital, Harbin, China.
Gang ZhuDepartment of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, China.
Huaning WangDepartment of Psychiatry, Xijing Hospital, The Fourth Military Medical University, Xi'an, China.
Shaohong ZouDepartment of Clinical Psychology, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, China.
Tao LiAffiliated Mental Health Center and Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Wanjun GuoThe Mental Health Center, West China Hospital, Sichuan University, Chengdu, China.
Xiufeng XuDepartment of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming, China.
Yuqi ChengDepartment of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming, China.
Yi LiWuhan Mental Health Center, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, China.
Juan YangDepartment of Psychology, Hainan Medical University, Haikou, China.
Min PengHuazhong University of Science and Technology Union Shenzhen Hospital, Shenzhen, China.
Nan LiResearch Center of Clinical Epidemiology, Peking University Third Hospital, Beijing, China.
Chuan ShiPeking University Institute of Mental Health (Sixth Hospital), Beijing, China.
Peking University · CNPeking University Sixth Hospital · CNCentral South University · CNChaohu Hospital of Anhui Medical University · CNChina Medical University · CNFirst Affiliated Hospital of Kunming Medical University · CNFirst Affiliated Hospital Zhejiang University · CNHainan Medical University · CNHuazhong University of Science and Technology · CNKunming Medical University · CNPeople's Hospital of Xinjiang Uygur Autonomous Region · CNShanghai Mental Health Center · CNShanxi Medical University · CNUnion Hospital · CNWest China Hospital of Sichuan University · CNXijing Hospital · CNZhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to develop a brief version of cognitive assessment test for evaluating the efficacy of treatments targeting cognitive impairments in Chinese schizophrenia patients, to examine its reliability, and establish normative data. Stratified according to age, gender, and educational level, healthy adult subjects were recruited from fifteen institutions in seven administrative regions of China and 723 valid samples were obtained, of which 50 were retested. Generalized Linear Models were conducted to analyze the effects of age, sex, and education. There was no significant difference between genders, while significant effects were demonstrated respectively among age and education on the normative data of C-BCT. The Cronbach α of C-BCT is 0.75, and the test-retest reliability (ICC) ranged from 0.62 to 0.76. Normative data of C-BCT were generated by gender, age and education, and the effects of these demographic factors were analyzed. It revealed good internal consistency and test-retest reliability of C-BCT.

Indexed as

C-BCTChinesecognitionMCCBschizophrenia

Identifiers

PMID35859598
PMCPMC9289100
OpenAlexW4283795244

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.