Evidence map›Paper›PMID 38224278›Full record

ArticleAlzheimer's & dementia : the journal of the Alzheimer's Association2024

Scalable plasma and digital cognitive markers for diagnosis and prognosis of Alzheimer's disease and related dementias.

Elena Tsoy, Renaud La Joie, Lawren VandeVrede, Julio C Rojas, Claire Yballa, Brandon Chan, Argentina Lario Lago, Anne-Marie Rodriguez, Collette A Goode, Sabrina J Erlhoff and 9 more

Abstract read
In one paragraph

Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 pooled it
–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

18 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Diagnostic accuracy of plasma p-tau217 against amyloid PET: A meta-analysis of technical platform variability and ratio versus single marker comparisons.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
    Pooled it
  2. Pooled it
  3. Article
  4. More efficient screening for preclinical Alzheimer's clinical trials using mixture of experts.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Review
  5. Combining p-tau217 and digital cognitive testing to predict cognitive decline.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  6. Article
  7. 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
  8. Article
  9. Article
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  11. 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
  12. Integrating plasma p-tau217 and digital cognitive assessments for early detection in Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
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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

19 authors.

Elena TsoyDepartment of Neurology, University of California San Francisco, San Francisco, California, USA.
Renaud La JoieDepartment of Neurology, University of California San Francisco, San Francisco, California, USA.
Lawren VandeVredeDepartment of Neurology, University of California San Francisco, San Francisco, California, USA.
Julio C RojasDepartment of Neurology, University of California San Francisco, San Francisco, California, USA.
Claire YballaDepartment of Neurology, University of California San Francisco, San Francisco, California, USA.
Brandon ChanDepartment of Neurology, University of California San Francisco, San Francisco, California, USA.
Argentina Lario LagoDepartment of Neurology, University of California San Francisco, San Francisco, California, USA.
Anne-Marie RodriguezDepartment of Neurology, University of California San Francisco, San Francisco, California, USA.
Collette A GoodeDepartment of Neurology, University of California San Francisco, San Francisco, California, USA.
Sabrina J ErlhoffDepartment of Neurology, University of California San Francisco, San Francisco, California, USA.
Boon Lead TeeDepartment of Neurology, University of California San Francisco, San Francisco, California, USA.
Charles WindonDepartment of Neurology, University of California San Francisco, San Francisco, California, USA.
Serggio LanataDepartment of Neurology, University of California San Francisco, San Francisco, California, USA.
Joel H KramerDepartment of Neurology, University of California San Francisco, San Francisco, California, USA.
Bruce L MillerDepartment of Neurology, University of California San Francisco, San Francisco, California, USA.
Peggye Dilworth-AndersonDepartment of Health Policy and Management, Gillings School of Global Public Health, University of North Carolina Chapel Hill, Chapel Hill, California, USA.
Adam L BoxerDepartment of Neurology, University of California San Francisco, San Francisco, California, USA.
Gil D RabinoviciDepartment of Neurology, University of California San Francisco, San Francisco, California, USA.
Katherine L PossinDepartment of Neurology, University of California San Francisco, San Francisco, California, USA.

Funding

Research Education ComponentP30AG062422 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Katherine P Rankin · 2019 to 2026
$36.9M
Augmenting Nurse Support and EHR Integration for the Pragmatic Trial of the UCSF-BHAU01NS128913 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Katherine Laurel Possin · 2022 to 2026
$8.2M
Reimagining Precision Medicine Approaches to AD DiagnosisR35AG072362 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI POSSIN, KATHERINE LAUREL, RABINOVICI, GIL DAN · 2021 to 2025
$4.8M
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
Validation of Novel Plasma Biomarkers for Mixed Etiology DementiaK23AG073514 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI VANDEVREDE, LAWREN · 2021 to 2025
$1.0M
Proteomics for fluid biomarker discovery in frontotemporal dementiaK23AG059888 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ROJAS-MARTINEZ, JULIO CESAR · 2019 to 2023
$995k
Social determinants of racial and ethnic disparities in ADRD diagnostic pathwaysR21AG080410 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI TSOY, ELENA · 2023 to 2024
$444k
Alzheimer's Association AARF-21-851552NIA NIH HHS K23 AG059888NIA NIH HHS K23 AG073514NIA NIH HHS L30 AG069301NIA NIH HHS P30 AG062422NIA NIH HHS P30AG062422NIA NIH HHS R21 AG080410NIA NIH HHS R35 AG072362NIA NIH HHS R35AG072362NINDS NIH HHS U01 NS128913NINDS NIH HHS UG3 NS105557
6 · The paper itself

Abstract

introductionWith emergence of disease-modifying therapies, efficient diagnostic pathways are critically needed to identify treatment candidates, evaluate disease severity, and support prognosis. A combination of plasma biomarkers and brief digital cognitive assessments could provide a scalable alternative to current diagnostic work-up.

methodsWe examined the accuracy of plasma biomarkers and a 10-minute supervised tablet-based cognitive assessment (Tablet-based Cognitive Assessment Tool Brain Health Assessment [TabCAT-BHA]) in predicting amyloid β positive (Aβ+) status on positron emission tomography (PET), concurrent disease severity, and functional decline in 309 older adults with subjective cognitive impairment (n = 49), mild cognitive impairment (n = 159), and dementia (n = 101).

resultsCombination of plasma pTau181, Aβ42/40, neurofilament light (NfL), and TabCAT-BHA was optimal for predicting Aβ-PET positivity (AUC = 0.962). Whereas NfL and TabCAT-BHA optimally predicted concurrent disease severity, combining these with pTau181 and glial fibrillary acidic protein was most accurate in predicting functional decline. DISCUSSION: Combinations of plasma and digital cognitive markers show promise for scalable diagnosis and prognosis of ADRD. HIGHLIGHTS: The need for cost-efficient diagnostic and prognostic markers of AD is urgent. Plasma and digital cognitive markers provide complementary diagnostic contributions. Combination of these markers holds promise for scalable diagnosis and prognosis. Future validation in community cohorts is needed to inform clinical implementation.

Indexed as

Alzheimer DiseaseCognitive DysfunctionAgedAmyloid beta-PeptidesBiomarkersCognitionHumansPositron-Emission TomographyPrognosistau ProteinsAmyloid beta-PeptidesBiomarkerstau ProteinsAlzheimer's diseaseblood-based biomarkersdiagnosisdigital cognitive assessmentdisease monitoring

Identifiers

PMID38224278
PMCPMC10942726

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.