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This page is alzhub.org's plain-English summary of a published study, not the paper itself. It is generated from the record we hold for this study, sourced and linked below — check the original for the full text and methods.

✓ Peer-reviewed alzhub usefulness score 61 out of 100. Digital health tools

Topic: Risk, prevention and care in population studies

Background The use of digital cognitive tests is getting common nowadays. Older adults or their family members may use online tests for self-screening of dementia. However, the diagnostic performance across different digital tests is still to clarify. The objective of this study was to evaluate the diagnostic performance of digital cognitive tests for MCI and dementia in older adults. Methods Literature searches were systematically performed in the OVID databases. Validation studies that reported the diagnostic performance of a digital cognitive test for MCI or dementia were included. The main outcome was the diagnostic performance of the digital test for the detection of MCI or dementia. Results A total of 56 studies with 46 digital cognitive tests were included in this study. Most of the digital cognitive tests were shown to have comparable diagnostic performances with the paper-and-pencil tests. Twenty-two digital cognitive tests showed a good diagnostic performance for dementia, with a sensitivity and a specificity over 0.80, such as the Computerized Visuo-Spatial Memory test and Self-Administered Tasks Uncovering Risk of Neurodegeneration. Eleven digital cognitive tests showed a good diagnostic performance for MCI such as the Brain Health Assessment. However, all the digital tests only had a few validation studies to verify their performance. Conclusions Digital cognitive tests showed good performances for MCI and dementia. The digital test can collect digital data that is far beyond the traditional ways of cognitive tests. Future research is suggested on these new forms of cognitive data for the early detection of MCI and dementia.

Key findings

Why it matters

This systematic review found that most digital cognitive tests had diagnostic performance comparable to paper-and-pencil tests for detecting mild cognitive impairment or dementia. However, all the digital tests had only a few validation studies, so their performance is not yet well established.

Study details

How this study scored 61/100
How this study's score is builtJournal tier 7 of 10; Journal's citation record 2 of 4; Study design 12 of 12; Strength of evidence 1 of 5; Peer-review validation 10 of 10; How recent 3 of 5; Sample size 1 of 4; Effect reported 0 of 3; Studied in people 3 of 3; Randomised / blinded 0 of 2; Times cited 5 of 7; Citations per year 3 of 5; Impact for its field and year 3 of 6; Cited by studies here 2 of 6; Still being cited 3 of 4; Senior author's track record 3 of 4; Institution's track record 1 of 3; Multi-centre collaboration 0 of 3; Indexed in PubMed 2 of 2; Free to read 0 of 2. Total 61 of 100.61 of 100 points earned39 not earned

Published in a peer-reviewed journal, and it is a systematic review of all the studies on the question. Scored zero for effect reported because the record does not state it.

ComponentPointsWhy
Journal tier 7 / 10 Tier 3 — peer-reviewed journal (Ageing research reviews)
Journal's citation record 2 / 4 Ageing Research Reviews: journal h-index 225 (OpenAlex, 2026-10-29)
Study design 12 / 12 A systematic review of all the studies on the question (from PubMed type “Systematic Review”)
Strength of evidence 1 / 5 Rated “low” in our summary
Peer-review validation 10 / 10 Peer-reviewed. Published as an article in a named peer-reviewed journal.
How recent 3 / 5 2021 — within 6 year(s) of the newest study here
Sample size 1 / 4 56 participants
Effect reported 0 / 3 No effect size reported — scores zero (not stated in the record — scored 0)
Studied in people 3 / 3 Studied in people (participant count stated)
Randomised / blinded 0 / 2 A review of other studies — randomisation is not credited here
Times cited 5 / 7 Cited 110 times (OpenAlex, 2026-10-10)
Citations per year 3 / 5 15.7 citations a year over 7 year(s) since 2021
Impact for its field and year 3 / 6 Cited 3.7× the average for papers of its field and year (OpenAlex FWCI)
Cited by studies here 2 / 6 Cited by 5 other studies in this library
Still being cited 3 / 4 Cited 84 times in 2024–2026 (2026 still in progress; OpenAlex)
Senior author's track record 3 / 4 Last-listed author Kelvin K.F. Tsoi: h-index 55 (OpenAlex, whole career)
Institution's track record 1 / 3 Chinese University of Hong Kong: institution h-index 1,100 (OpenAlex)
Multi-centre collaboration 0 / 3 OpenAlex lists 1 institution(s) in 1 country — scores zero (affiliation lists can be incomplete)
Indexed in PubMed 2 / 2 Indexed in PubMed (PMID 34744026)
Free to read 0 / 2 Behind a paywall — scores zero
Total 61 / 100 —

What each of these 20 components measures, and what this score is not →

Read the original

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Cite this study APA, Vancouver, BibTeX · download .bib or .ris

Built from the record alzhub holds for this paper, not looked up. Volume, issue and page numbers are not held in the record. Check the citation against the original before you use it.

APA 7th

Chan, J. Y. C., Yau, S. T. Y., Kwok, T. C. Y., & Tsoi, K. K. F. (2021). Diagnostic performance of digital cognitive tests for the identification of MCI and dementia: A systematic review. Ageing research reviews. https://doi.org/10.1016/j.arr.2021.101506

Vancouver

Chan JYC, Yau STY, Kwok TCY, Tsoi KKF. Diagnostic performance of digital cognitive tests for the identification of MCI and dementia: A systematic review. Ageing research reviews. 2021. doi:10.1016/j.arr.2021.101506. PMID: 34744026.

BibTeX

@article{chan2021-34744026,
  author  = {Chan, J. Y. C. and Yau, S. T. Y. and Kwok, T. C. Y. and Tsoi, K. K. F.},
  title   = {{Diagnostic performance of digital cognitive tests for the identification of MCI and dementia: A systematic review}},
  journal = {Ageing research reviews},
  year    = {2021},
  doi     = {10.1016/j.arr.2021.101506},
  pmid    = {34744026},
  url     = {https://doi.org/10.1016/j.arr.2021.101506}
}

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