Evidence map›Paper›PMID 37699028›Full record

SynthesisPloS one2023

Diagnostic accuracy of Ascertain Dementia 8-item Questionnaire by participant and informant-A systematic review and meta-analysis.

Rajiv Tanwani, Mercy O Danquah, Nina Butris, Aparna Saripella, Ellene Yan, Paras Kapoor, Marina Englesakis, David F Tang-Wai, Maria Carmela Tartaglia, David He and 1 more

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. The Impact of Cognitive Impairment on Cardiovascular Disease.Journal of the American College of Cardiology · 2025
    Review
  14. Review
  15. Observational
  16. Article
  17. Article
  18. Article
  19. 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

11 authors.

Rajiv TanwaniTemerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
Mercy O DanquahTemerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
Nina ButrisTemerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
Aparna SaripellaDepartment of Anesthesia and Pain Management, Toronto Western Hospital, University Health Network, Toronto, Ontario, Canada.
Ellene YanTemerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
Paras KapoorTemerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
Marina EnglesakisLibrary & Information Services, University Health Network, Toronto, Ontario, Canada.ORCID 0000-0002-2199-1056
David F Tang-WaiTemerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
Maria Carmela TartagliaTemerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
David HeTemerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
Frances ChungTemerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.ORCID 0000-0001-9576-3606

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Ascertain Dementia 8-item Questionnaire (AD8) is a screening tool for cognitive impairment that can be administered to older persons and/or their informants.

objectivesTo evaluate the diagnostic accuracy and compare the predictive parameters of the informant and participant-completed Ascertain Dementia 8-item Questionnaire (iAD8 and pAD8, respectively) in older adults with cognitive impairment. METHODS/

designWe searched ten electronic databases (including MEDLINE (Ovid), Embase) from tool inception to March 2022. We included studies with patients ≥60 years old that were screened for cognitive impairment using AD8 in any healthcare setting. Predictive parameters were assessed against reference standards to estimate accuracy and diagnostic ability using bivariate random-effects meta-analyses. We used QUADAS-2 criteria to assess risk of bias.

resultsA cut-off of ≥2/8 was used to classify mild cognitive impairment (MCI), dementia, and cognitive impairment (MCI or dementia). Seven studies using the iAD8 (n = 794) showed a sensitivity of 80% and specificity of 79% to detect MCI. Nine studies using the iAD8 (n = 2393) established 91% sensitivity and 64% specificity to detect dementia. To detect MCI using the pAD8, four studies (n = 836) showed 57% sensitivity and 71% specificity. To detect dementia using the pAD8, four studies (n = 3015) demonstrated 82% sensitivity and 75% specificity. Recurring high or unclear risk of bias was noted in the domains of "Index test" and "reference standard".

conclusionsThe diagnostic accuracy of iAD8 is superior to that of pAD8 when screening for cognitive impairment. The AD8 may be an acceptable alternative to screen for cognitive impairment in older adults when there are limitations to formal testing.

Indexed as

Cognitive DysfunctionDementiaAgedAged, 80 and overCorrelation of DataDatabases, FactualHealth FacilitiesHumansMiddle Aged

Identifiers

PMID37699028
PMCPMC10497164

What OpenQuestion holds

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LicenceCC BY
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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.