Evidence map›Paper›PMID 32308636›Full record

ArticleFrontiers in psychology2020

Screening for Cognitive Frailty Using Short Cognitive Screening Instruments: Comparison of the Chinese Versions of the MoCA and Q

Yangfan Xu, Yangyang Lin, Lingrong Yi, Zhao Li, Xian Li, Yuying Yu, Yuxiao Guo, Yuling Wang, Haoying Jiang, Zhuoming Chen and 4 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in psychology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.8field-weighted citation impact, top 30% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Article
  3. The Persian Version of the Quick Mild Cognitive Impairment Screen (QInternational journal of environmental research and public health · 2021
    Article
  4. Article
  5. Article
  6. Review
  7. 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

14 authors at 8 institutions in 3 countries.

Yangfan XuDepartment of Rehabilitation Medicine, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Yangyang LinDepartment of Rehabilitation Medicine, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Lingrong YiDepartment of Rehabilitation Medicine, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Zhao LiDepartment of Rehabilitation Medicine, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Xian LiDepartment of Rehabilitation Medicine, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Yuying YuDepartment of Rehabilitation Medicine, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Yuxiao GuoDepartment of Rehabilitation Medicine, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Yuling WangDepartment of Rehabilitation Medicine, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Haoying JiangDepartment of Rehabilitation Medicine, The First Affiliated Hospital of Jinan University, Guangzhou, China.
Zhuoming ChenDepartment of Rehabilitation Medicine, The First Affiliated Hospital of Jinan University, Guangzhou, China.
Anton SvendrovskiUZIK Consulting Inc., Toronto, ON, Canada.
Yang GaoCentre for Gerontology and Rehabilitation, University College Cork, St Finbarr's Hospital, Cork, Ireland.
D William MolloyCentre for Gerontology and Rehabilitation, University College Cork, St Finbarr's Hospital, Cork, Ireland.
Rónán O'CaoimhCentre for Gerontology and Rehabilitation, University College Cork, St Finbarr's Hospital, Cork, Ireland.
Sixth Affiliated Hospital of Sun Yat-sen University · CNSun Yat-sen University · CNFirst Affiliated Hospital of Jinan University · CNMercy University Hospital · IEPeople 's Hospital of Jilin Province · CNSecond Affiliated Hospital of Chongqing Medical University · CNSt. Finbarr's Hospital · IEUniversity College Cork · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCognitive frailty describes cognitive impairment associated with physical decline. Few studies have explored whether short cognitive screens identify frailty. We examined the diagnostic accuracy of the Chinese versions of the Quick Mild Cognitive Impairment (Q

methodsNinety-five participants with cognitive symptoms [47 with mild cognitive impairment (MCI), 34 with subjective cognitive disorder, and 14 with dementia] were included from two outpatient rehabilitation clinics. Energy (work intensity) and physical activity levels were recorded. Cognitive frailty was diagnosed by an interdisciplinary team using the IANA/IAGG consensus criteria, stratified on the Clinical Frailty Scale (CFS). Instruments were administered sequentially and randomly by trained assessors, blind to the diagnosis.

resultsThe mean age of the sample was 62.6 ± 10.2 years; median CFS score was 4 ± 1 and 36 (38%) were cognitively frail. The Q

conclusionEstablished short cognitive screens may be useful in identifying cognitive frailty in Chinese adults with cognitive complaints but not in separating MCI from cognitive frailty. The Q

Indexed as

Chinacognitive frailtycognitive screendementiafrailtymild cognition impairment

Identifiers

PMID32308636
PMCPMC7145973
OpenAlexW3014371334

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.