Evidence map›Paper›PMID 33216033›Full record

ArticleJournal of Alzheimer's disease : JAD2021

A Brief Digital Cognitive Assessment for Detection of Cognitive Impairment in Cuban Older Adults.

Ana M Rodríguez-Salgado, Jorge J Llibre-Guerra, Elena Tsoy, Ana Ibis Peñalver-Guia, Giosmany Bringas, Sabrina J Erlhoff, Joel H Kramer, Isabel Elaine Allen, Victor Valcour, Bruce L Miller and 2 more

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of Alzheimer's disease : JAD, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 3 pooled it
2.3field-weighted citation impact, top 11% 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

23 citing papers in PubMed, 3 syntheses or guidelines pooled it, 41 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Adaptation and Validation of Brief Tablet-Based Cognitive Assessment Tool in Uganda.medRxiv : the preprint server for health sciences · 2026
    Article
  5. Tablet-based Cognitive Assessment Tool (TabCAT) in a multisite study of early-onset Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
  6. Review
  7. Enhancing early detection of cognitive impairment in primary care with the TabCAT-BHA.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Observational
  19. Review
  20. Review
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

12 authors at 2 institutions in 1 country.

Ana M Rodríguez-SalgadoDepartment of Neurology, National Institute of Neurology and Neurosurgery, La Havana, Cuba.
Jorge J Llibre-GuerraDepartment of Neurology, National Institute of Neurology and Neurosurgery, La Havana, Cuba.
Elena TsoyDepartment of Neurology,Memory and Aging Center, University of California San Francisco, San Francisco, CA, USA.
Ana Ibis Peñalver-GuiaDepartment of Neurology, National Institute of Neurology and Neurosurgery, La Havana, Cuba.
Giosmany BringasDepartment of Neurology, National Institute of Neurology and Neurosurgery, La Havana, Cuba.
Sabrina J ErlhoffDepartment of Neurology,Memory and Aging Center, University of California San Francisco, San Francisco, CA, USA.
Joel H KramerGlobal Brain Health Institute, University of California San Francisco, San Francisco, CA, USA.
Isabel Elaine AllenDepartment of Epidemiology & Biostatistics, University of California, San Francisco, San Francisco, CA, USA.
Victor ValcourGlobal Brain Health Institute, University of California San Francisco, San Francisco, CA, USA.
Bruce L MillerGlobal Brain Health Institute, University of California San Francisco, San Francisco, CA, USA.
Juan J Llibre-RodríguezAlzheimer Research Center, Havana School of Medicine, La Havana, Cuba.
Katherine L PossinGlobal Brain Health Institute, University of California San Francisco, San Francisco, CA, USA.
University of California, San Francisco · USGlobal Brain Health Institute · US

Funding

The UCSF Brain Health Assessment for the Detection of Cognitive Impairment Among Diverse Populations in Primary CareUH3NS105557 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI POSSIN, KATHERINE LAUREL · 2019 to 2021
$4.9M
The UCSF Brain Health Assessment for the Detection of Cognitive Impairment Among Diverse Populations in Primary CareUG3NS105557 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI POSSIN, KATHERINE LAUREL · 2017 to 2018
$2.4M
NINDS NIH HHS UG3 NS105557NINDS NIH HHS UH3 NS105557
6 · The paper itself

Abstract

backgroundRapid technological advances offer a possibility to develop cost-effective digital cognitive assessment tools. However, it is unclear whether these measures are suitable for application in populations from Low and middle-income countries (LMIC).

objectiveTo examine the accuracy and validity of the Brain Health Assessment (BHA) in detecting cognitive impairment in a Cuban population.

methodsIn this cross-sectional study, 146 participants (cognitively healthy = 53, mild cognitive impairment (MCI) = 46, dementia = 47) were recruited at primary care and tertiary clinics. The main outcomes included: accuracy of the BHA and the Montreal Cognitive Assessment (MoCA) in discriminating between controls and cognitively impaired groups (MCI and dementia) and correlations between the BHA subtests of memory, executive functions, and visuospatial skills and criterion-standard paper-and-pencil tests in the same domains.

resultsThe BHA had an AUC of 0.95 (95% CI: 0.91-0.98) in discriminating between controls and cognitively impaired groups (MCI and dementia, combined) with 0.91 sensitivity at 0.85 specificity. In discriminating between control and MCI groups only, the BHA tests had an AUC of 0.94 (95% CI: 0.90-0.99) with 0.71 sensitivity at 0.85 specificity. Performance was superior to the MoCA across all diagnostic groups. Concurrent and discriminant validity analyses showed moderate to strong correlations between the BHA tests and standard paper-and-pencil measures in the same domain and weak correlations with standard measures in unrelated domains.

conclusionThe BHA has excellent performance characteristics in detecting cognitive impairment including dementia and MCI in a Hispanic population in Cuba and outperformed the MoCA. These results support potential application of digital cognitive assessment for older adults in LMIC.

Indexed as

Computers, HandheldNeuropsychological TestsAgedAlzheimer DiseaseAphasia, Primary ProgressiveCognitive DysfunctionCubaDementiaDementia, VascularDeveloping CountriesExecutive FunctionFrontotemporal DementiaHumansMemoryMental Status and Dementia TestsMiddle AgedMild cognitive impairmentprimary caretablet-based cognitive screening

Identifiers

PMID33216033
PMCPMC8216130
OpenAlexW3099887644

What OpenQuestion holds

Textmetadata
LicenceTDM
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.