Evidence map›Paper›PMID 34657249›Full record

SynthesisNeuropsychology review2022

Evaluation of Digital Drawing Tests and Paper-and-Pencil Drawing Tests for the Screening of Mild Cognitive Impairment and Dementia: A Systematic Review and Meta-analysis of Diagnostic Studies.

Joyce Y C Chan, Baker K K Bat, Adrian Wong, Tak Kit Chan, Zhaohua Huo, Benjamin H K Yip, Timothy C Y Kowk, Kelvin K F Tsoi

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Neuropsychology review, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

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  7. [Early Alzheimer's disease recognition via multimodal hand movement quality assessment].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2026
    Article
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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

8 authors.

Joyce Y C ChanDepartment of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China.
Baker K K BatStanley Ho Big Data Decision Analytics Research Centre, The Chinese University of Hong Kong, Hong Kong, China.
Adrian WongDepartment of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China.
Tak Kit ChanJC School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China.
Zhaohua HuoJC School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China.
Benjamin H K YipJC School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China.
Timothy C Y KowkDepartment of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China.
Kelvin K F TsoiStanley Ho Big Data Decision Analytics Research Centre, The Chinese University of Hong Kong, Hong Kong, China. kelvintsoi@cuhk.edu.hk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Digital drawing tests have been proposed for cognitive screening over the past decade. However, the diagnostic performance is still to clarify. The objective of this study was to evaluate the diagnostic performance among different types of digital and paper-and-pencil drawing tests in the screening of mild cognitive impairment (MCI) and dementia. Diagnostic studies evaluating digital or paper-and-pencil drawing tests for the screening of MCI or dementia were identified from OVID databases, included Embase, MEDLINE, CINAHL, and PsycINFO. Studies evaluated any type of drawing tests for the screening of MCI or dementia and compared with healthy controls. This study was performed according to PRISMA and the guidelines proposed by the Cochrane Diagnostic Test Accuracy Working Group. A bivariate random-effects model was used to compare the diagnostic performance of these drawing tests and presented with a summary receiver-operating characteristic curve. The primary outcome was the diagnostic performance of clock drawing test (CDT). Other types of drawing tests were the secondary outcomes. A total of 90 studies with 22,567 participants were included. In the screening of MCI, the pooled sensitivity and specificity of the digital CDT was 0.86 (95% CI = 0.75 to 0.92) and 0.92 (95% CI = 0.69 to 0.98), respectively. For the paper-and-pencil CDT, the pooled sensitivity and specificity of brief scoring method was 0.63 (95% CI = 0.49 to 0.75) and 0.77 (95% CI = 0.68 to 0.84), and detailed scoring method was 0.63 (95% CI = 0.56 to 0.71) and 0.72 (95% CI = 0.65 to 0.78). In the screening of dementia, the pooled sensitivity and specificity of the digital CDT was 0.83 (95% CI = 0.72 to 0.90) and 0.87 (95% CI = 0.79 to 0.92). The performances of the digital and paper-and-pencil pentagon drawing tests were comparable in the screening of dementia. The digital CDT demonstrated better diagnostic performance than paper-and-pencil CDT for MCI. Other types of digital drawing tests showed comparable performance with paper-and-pencil formats. Therefore, digital drawing tests can be used as an alternative tool for the screening of MCI and dementia.

Indexed as

Cognitive DysfunctionDementiaHumansNeuropsychological TestsResearch DesignSensitivity and SpecificityDementiaDigital CDTDigital drawing testMCI

Identifiers

PMID34657249
PMCPMC9381608

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Registered trials

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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.