Evidence map›Paper›PMID 32606632›Full record

ArticleClinical interventions in aging2020

Comparative Study of Two Short-Form Versions of the Montreal Cognitive Assessment for Screening of Post-Stroke Cognitive Impairment in a Chinese Population.

Jingjing Wei, Xianglan Jin, Baoxin Chen, Xuemei Liu, Hong Zheng, Rongjuan Guo, Xiao Liang, Chen Fu, Yunling Zhang

Abstract readEvaluation Study
In one paragraph

Article in Clinical interventions in aging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. 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

9 authors.

Jingjing Wei *Beijing University of Chinese Medicine, Beijing, People's Republic of China.
Xianglan Jin *Department of Neurology, Dongfang Hospital, Beijing University of Chinese Medicine, Beijing, People's Republic of China.
Baoxin ChenDepartment of Neurology, Dongfang Hospital, Beijing University of Chinese Medicine, Beijing, People's Republic of China.
Xuemei LiuCentral Laboratory, Dongfang Hospital, Beijing University of Chinese Medicine, Beijing, People's Republic of China.
Hong ZhengCentral Laboratory, Dongfang Hospital, Beijing University of Chinese Medicine, Beijing, People's Republic of China.
Rongjuan GuoDepartment of Neurology, Dongfang Hospital, Beijing University of Chinese Medicine, Beijing, People's Republic of China.
Xiao LiangDepartment of Neurology, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, People's Republic of China.
Chen FuDepartment of Neurology, Dongfang Hospital, Beijing University of Chinese Medicine, Beijing, People's Republic of China.
Yunling ZhangDepartment of Neurology, Dongfang Hospital, Beijing University of Chinese Medicine, Beijing, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeCognitive impairment (CI) is one of the most significant post-stroke complications. The Montreal Cognitive Assessment (MoCA) is widely applied to the early screening of post-stroke CI (PSCI), and has good sensitivity and specificity, but needs a long time to administer. Clinicians and researchers need shorter, more effective cognitive testing tools. The purpose of this study was to detect the sensitivity and specificity of two different short-form versions of the MoCA (SF-MoCA) for screening of PSCI in a Chinese population.

methodsA total of 2,989 stroke participants were included from 14 hospitals in northern and southern China between June 2011 and September 2013. The sensitivity and specificity of the two SF-MoCA versions were compared.

resultsUsing an MoCA score <26 as the critical value, the National Institute of Neurological Disease and Stroke-Canadian Stroke Network SF-MoCA showed sensitivity of 91% and specificity of 63% (PPV 71%, BPV 87%) with scores ≤10 points. The sensitivity and specificity of the Bocti SF-MoCA were 92% and 69% (PPV 75%, BPV 89%) with scores ≤7, respectively. The area under the curve was 0.885 (95% CI 0.873-0.897) and 0.912 (95% CI 0.902-0.922), respectively.

conclusionThe Bocti SF-MoCA can be used as a briefer and more effective screening tool for PSCI in Chinese.

Indexed as

AgedChinaCognitive DysfunctionFemaleHumansMaleMental Status and Dementia TestsMiddle AgedNervous System DiseasesNeuropsychological TestsPredictive Value of TestsReproducibility of ResultsSensitivity and SpecificityStrokecognitive dysfunctionMoCAMontreal Cognitive Assessmentsensitivityspecificitystroke

Identifiers

PMID32606632
PMCPMC7308117

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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.