Evidence map›Paper›PMID 41282720›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Scalable Markers for Early Cognitive Decline: Plasma p-tau217, Subjective Cognitive Concerns, and Digital Testing: Results from the A4/LEARN studies.

Babak Khorsand, Devin Teichrow, Elham Ghanbarian, Lukai Zheng, S Ahmad Sajjadi, Crystal M Glover, Joshua D Grill, Laura A Rabin, Ali Ezzati

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Babak KhorsandDepartment of Neurology, University of California, Irvine, CA, USA.ORCID 0000-0002-1585-3909
Devin TeichrowDepartment of Neurology, University of California, Irvine, CA, USA.
Elham GhanbarianDepartment of Neurology, University of California, Irvine, CA, USA.
Lukai ZhengDepartment of Neurology, University of California, Irvine, CA, USA.
S Ahmad SajjadiDepartment of Neurology, University of California, Irvine, CA, USA.
Crystal M GloverDepartment of Neurology, University of California, Irvine, CA, USA.
Joshua D GrillDepartment of Neurology, University of California, Irvine, CA, USA.
Laura A RabinBrooklyn College and The Graduate Center - CUNY, Brooklyn, NY, USA.
Ali EzzatiDepartment of Neurology, University of California, Irvine, CA, USA.

Funding

The Alzheimer's Clinical Trial Consortium - Down Syndrome Network (ACTC- DSN)U24AG057437 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Paul S. Aisen, RONALD C PETERSEN · 2018 to 2026
$198.4M
RECRUITMENT COREU19AG010483 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI FELDMAN, HOWARD · 2013 to 2020
$80.6M
Anti-Amyloid Treatment in Asymptomatic Alzheimer's Disease (A4) Open-Label Extension StudyR01AG063689 · NIA · BRIGHAM AND WOMEN'S HOSPITAL · PI AISEN, PAUL S., SPERLING, REISA A. · 2019 to 2024
$30.8M
Validation of the Remote Cognitive Aging and Alzheimer’s Disease REsearch (R-CARE) Toolbox for Diverse PopulationsR01AG080635 · NIA · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI Ali Ezzati, Richard B. LIPTON · 2023 to 2026
$8.6M
Discovery and Trial Ready Cohort for Limbic Predominant Age Related TDP-43 Encephalopathy (TRC LATE)R01AG095017 · NIA · UNIVERSITY OF CALIFORNIA-IRVINE · PI Ali Ezzati, Crystal M. Glover · 2025 to 2026
$6.3M
Promoting Engagement and Clinical Trial Readiness for Alzheimer's Disease and Related Dementias Among Underserved Sexual and Gender MinoritiesRF1NS143766 · NINDS · UNIVERSITY OF NEVADA LAS VEGAS · PI FLATT, JASON DANE, GLOVER, CRYSTAL M. · 2025 to 2025
$2.2M
Predictive analytics for cognitive decline and Alzheimer’s diseaseK23AG063993 · NIA · UNIVERSITY OF CALIFORNIA-IRVINE · PI EZZATI, ALI · 2020 to 2024
$984k
NIA NIH HHS K23 AG063993NIA NIH HHS R01 AG063689NIA NIH HHS R01 AG080635NIA NIH HHS R01 AG095017NIA NIH HHS U19 AG010483NIA NIH HHS U24 AG057437NINDS NIH HHS RF1 NS143766
6 · The paper itself

Abstract

Background and Objectives: Although amyloid positron emission tomography (PET) and Cerebrospinal fluid (CSF) biomarkers remain the standard for confirming Alzheimer's disease (AD) pathology, their use is impractical for screening or routine prognostic assessment. Plasma phosphorylated tau 217 (p-tau217), subjective cognitive concerns, and computerized cognitive testing are non-invasive, scalable, and feasible to implement in large populations. We tested whether these measures independently predict the onset of cognitive impairment and whether combining them improves prognostic accuracy. Methods: We analyzed 1,071 cognitively unimpaired adults aged 65-85 years from the Anti-Amyloid Treatment in Asymptomatic Alzheimer's Disease (A4) trial (amyloid-positive; solanezumab or placebo arms) and the parallel Longitudinal Evaluation of Amyloid Risk and Neurodegeneration (LEARN) cohort (amyloid-negative). At baseline, participants completed plasma p-tau217 measurement, the Cognitive Function Index (CFI), and the Cogstate Computerized Battery (CCB). Over 240 weeks of follow-up, incident impairment was defined as conversion from a Global Clinical Dementia Rating Score (CDR-GS) of 0 to 0.5 or higher. The predictive value of each measure for subsequent decline was examined after adjustment for demographic and genetic covariates. Results: During the follow-up, 365 of 1,071 participants (34.1%) developed cognitive impairment. Higher plasma p-tau217 (per-standard-deviation increase) was associated with higher odds of converting to CDR-GS>0 across all cohorts: A4-Placebo (HR=1.56; 95% CI, 1.37-1.78), A4-Solanezumab (HR=1.46; 95% CI, 1.29-1.65), LEARN (HR=1.25; 95% CI, 1.05-1.48). Similarly, higher CFI predicted incident impairment: A4-Placebo (HR=1.59; 95% CI, 1.42-1.79), A4-Solanezumab (HR=1.67; 95% CI, 1.47-1.91), LEARN (HR=1.37; 95% CI, 1.12-1.68). Lower CCB also conferred higher risk: A4-Placebo (HR=0.76; 95% CI, 0.65-0.91), A4-Solanezumab (HR=0.73; 95% CI, 0.62-0.87), LEARN (HR=0.68; 95% CI, 0.53-0.87). In models including all three predictors, each remained independently associated with progression. Conclusion: Plasma p-tau217, subjective cognitive concerns, and computerized cognitive testing each independently predicted progression to cognitive impairment in cognitively unimpaired older adults. Together, these non-invasive and scalable measures provide practical tools for risk stratification years before clinical diagnosis. Combining biological, subjective, and digital markers may support earlier detection in clinical care and enhance efficiency in prevention trial enrollment.

Indexed as

Alzheimer’s DiseaseCognitive DeclineDigital BiomarkersPlasma BiomarkersSubjective Cognitive Concerns

Identifiers

PMID41282720
PMCPMC12633133

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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.