Evidence map›Paper›PMID 33557905›Full record

ArticleAlzheimer's research & therapy2021

Detecting Alzheimer's disease biomarkers with a brief tablet-based cognitive battery: sensitivity to Aβ and tau PET.

Elena Tsoy, Amelia Strom, Leonardo Iaccarino, Sabrina J Erlhoff, Collette A Goode, Anne-Marie Rodriguez, Gil D Rabinovici, Bruce L Miller, Joel H Kramer, Katherine P Rankin and 2 more

Abstract read
In one paragraph

Article in Alzheimer's research & therapy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. 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
  2. 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
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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

12 authors.

Elena TsoyDepartment of Neurology, Memory and Aging Center, University of California San Francisco, Box 1207, 675 Nelson Rising Lane, Suite 190, San Francisco, CA, 94158, USA.
Amelia StromDepartment of Neurology, Memory and Aging Center, University of California San Francisco, Box 1207, 675 Nelson Rising Lane, Suite 190, San Francisco, CA, 94158, USA.
Leonardo IaccarinoDepartment of Neurology, Memory and Aging Center, University of California San Francisco, Box 1207, 675 Nelson Rising Lane, Suite 190, San Francisco, CA, 94158, USA.
Sabrina J ErlhoffDepartment of Neurology, Memory and Aging Center, University of California San Francisco, Box 1207, 675 Nelson Rising Lane, Suite 190, San Francisco, CA, 94158, USA.
Collette A GoodeDepartment of Neurology, Memory and Aging Center, University of California San Francisco, Box 1207, 675 Nelson Rising Lane, Suite 190, San Francisco, CA, 94158, USA.
Anne-Marie RodriguezDepartment of Neurology, Memory and Aging Center, University of California San Francisco, Box 1207, 675 Nelson Rising Lane, Suite 190, San Francisco, CA, 94158, USA.
Gil D RabinoviciDepartment of Neurology, Memory and Aging Center, University of California San Francisco, Box 1207, 675 Nelson Rising Lane, Suite 190, San Francisco, CA, 94158, USA.
Bruce L MillerDepartment of Neurology, Memory and Aging Center, University of California San Francisco, Box 1207, 675 Nelson Rising Lane, Suite 190, San Francisco, CA, 94158, USA.
Joel H KramerDepartment of Neurology, Memory and Aging Center, University of California San Francisco, Box 1207, 675 Nelson Rising Lane, Suite 190, San Francisco, CA, 94158, USA.
Katherine P RankinDepartment of Neurology, Memory and Aging Center, University of California San Francisco, Box 1207, 675 Nelson Rising Lane, Suite 190, San Francisco, CA, 94158, USA.
Renaud La JoieDepartment of Neurology, Memory and Aging Center, University of California San Francisco, Box 1207, 675 Nelson Rising Lane, Suite 190, San Francisco, CA, 94158, USA.
Katherine L PossinDepartment of Neurology, Memory and Aging Center, University of California San Francisco, Box 1207, 675 Nelson Rising Lane, Suite 190, San Francisco, CA, 94158, USA. katherine.possin@ucsf.edu.ORCID 0000-0002-6623-3793

Funding

TDP-43 Loss-of-Function: Biology to BiomarkersP01AG019724 · NIA · UNIVERSITY OF PENNSYLVANIA · PI Jennifer Merrilees · 2002 to 2026
$67.2M
Research Education ComponentP30AG062422 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Gil Dan Rabinovici · 2019 to 2026
$36.9M
The Four Repeat Tauopathy Neuroimaging InitiativeR01AG038791 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BOXER, ADAM L. · 2010 to 2020
$18.1M
Mechanisms of Executive Decline in Normal AgingR01AG032289 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Kaitlin B Casaletto, JOEL H KRAMER · 2009 to 2026
$8.3M
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
Effects of chronic inflammation on brain structure and functionR01AG048234 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KRAMER, JOEL H · 2015 to 2019
$3.2M
Early Age-of-Onset AD: Clinical Heterogeneity and Network DegenerationR01AG045611 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI RABINOVICI, GIL DAN · 2014 to 2018
$3.1M
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
NIA NIH HHS P01 AG019724NIA NIH HHS P01AG019724NIA NIH HHS P30 AG062422NIA NIH HHS P30AG062422NIA NIH HHS R01 AG032289NIA NIH HHS R01AG032289NIA NIH HHS R01 AG038791NIA NIH HHS R01AG038791NIA NIH HHS R01 AG045611NIA NIH HHS R01AG045611NIA NIH HHS R01 AG048234NIA NIH HHS R01AG048234NINDS NIH HHS UG3 NS105557NINDS NIH HHS UG3NS105557-01NINDS NIH HHS UH3 NS105557
6 · The paper itself

Abstract

backgroundβ-amyloid (Aβ) and tau positron emission tomography (PET) detect the pathological changes that define Alzheimer's disease (AD) in living people. Cognitive measures sensitive to Aβ and tau burden may help streamline identification of cases for confirmatory AD biomarker testing.

methodsWe examined the association of Brain Health Assessment (BHA) tablet-based cognitive measures with dichotomized Aβ -PET status using logistic regression models in individuals with mild cognitive impairment (MCI) or dementia (N = 140; 43 Aβ-, 97 Aβ+). We also investigated the relationship between the BHA tests and regional patterns of tau-PET signal using voxel-wise regression analyses in a subsample of 60 Aβ+ individuals with MCI or dementia.

resultsFavorites (associative memory), Match (executive functions and speed), and Everyday Cognition Scale scores were significantly associated with Aβ positivity (area under the curve [AUC] = 0.75 [95% CI 0.66-0.85]). We found significant associations with tau-PET signal in mesial temporal regions for Favorites, frontoparietal regions for Match, and occipitoparietal regions for Line Orientation (visuospatial skills) in a subsample of individuals with MCI and dementia.

conclusionThe BHA measures are significantly associated with both Aβ and regional tau in vivo imaging markers and could be used for the identification of patients with suspected AD pathology in clinical practice.

Indexed as

Alzheimer DiseaseCognitive DysfunctionAmyloid beta-PeptidesBiomarkersCognitionHumansPositron-Emission Tomographytau ProteinsAmyloid beta-PeptidesBiomarkerstau ProteinsAlzheimer’s diseaseBiomarkersMild cognitive impairmentNeuropsychologyPositron emission tomographyPsychometrics

Identifiers

PMID33557905
PMCPMC7871372

What OpenQuestion holds

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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.