Evidence map›Paper›PMID 35887956›Full record

ReviewJournal of clinical medicine2022

Digital Cognitive Biomarker for Mild Cognitive Impairments and Dementia: A Systematic Review.

Zihan Ding, Tsz-Lok Lee, Agnes S Chan

Open access · goldAbstract readReview
In one paragraph

Review in Journal of clinical medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
8.8field-weighted citation impact, top 1% 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

36 citing papers in PubMed, 61 citations in OpenAlex.

  1. Trial
  2. Primary care determinants for timely diagnosis of dementia.Family medicine and community health · 2026
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  19. FACEmemoryJournal of clinical medicine · 2024
    Article
  20. Cognitive modeling of the Mnemonic Similarity Task as a digital biomarker for Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
    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

3 authors at 1 institution in 1 country.

Zihan DingNeuropsychology Laboratory, Department of Psychology, The Chinese University of Hong Kong, Hong Kong, China.ORCID 0000-0001-5921-137X
Tsz-Lok LeeNeuropsychology Laboratory, Department of Psychology, The Chinese University of Hong Kong, Hong Kong, China.ORCID 0000-0001-5993-0315
Agnes S ChanNeuropsychology Laboratory, Department of Psychology, The Chinese University of Hong Kong, Hong Kong, China.ORCID 0000-0002-3321-182X
Chinese University of Hong Kong · HK

Funding

Chinese University of Hong Kong 4052283
6 · The paper itself

Abstract

The dementia population is increasing as the world's population is growing older. The current systematic review aims to identify digital cognitive biomarkers from computerized tests for detecting dementia and its risk state of mild cognitive impairment (MCI), and to evaluate the diagnostic performance of digital cognitive biomarkers. A literature search was performed in three databases, and supplemented by a Google search for names of previously identified computerized tests. Computerized tests were categorized into five types, including memory tests, test batteries, other single/multiple cognitive tests, handwriting/drawing tests, and daily living tasks and serious games. Results showed that 78 studies were eligible. Around 90% of the included studies were rated as high quality based on the Newcastle-Ottawa Scale (NOS). Most of the digital cognitive biomarkers achieved comparable or even better diagnostic performance than traditional paper-and-pencil tests. Moderate to large group differences were consistently observed in cognitive outcomes related to memory and executive functions, as well as some novel outcomes measured by handwriting/drawing tests, daily living tasks, and serious games. These outcomes have the potential to be sensitive digital cognitive biomarkers for MCI and dementia. Therefore, digital cognitive biomarkers can be a sensitive and promising clinical tool for detecting MCI and dementia.

Indexed as

computerized testdementiadigital biomarkerdigital cognitive biomarkerdigital cognitive testmild cognitive impairmentsystematic review

Identifiers

PMID35887956
PMCPMC9320101
OpenAlexW4286213318

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.