Evidence map›Paper›PMID 41948540›Full record

ArticleAlzheimer's & dementia (Amsterdam, Netherlands)

Incremental value of plasma biomarkers in predicting clinical decline among cognitively unimpaired older adults: Results from the A4 trial.

Babak Khorsand, Elham Ghanbarian, Laura A Rabin, Seyed Ahmad Sajjadi, Ali Ezzati

Abstract read
In one paragraph

Article in Alzheimer's & dementia (Amsterdam, Netherlands). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Babak KhorsandDepartment of Neurology University of California Irvine California USA.
Elham GhanbarianDepartment of Neurology University of California Irvine California USA.
Laura A RabinBrooklyn College and The Graduate Center of CUNY Brooklyn New York USA.
Seyed Ahmad SajjadiDepartment of Neurology University of California Irvine California USA.
Ali EzzatiDepartment of Neurology University of California Irvine California USA.

Funding

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
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 AG080635NIA NIH HHS R01 AG095017
6 · The paper itself

Abstract

introductionAlzheimer's disease (AD) heterogeneity complicates early detection and trial design. Scalable predictors may aid risk stratification. We assessed whether scalable baseline plasma biomarkers and neuropsychological measures predict 5‑year cognitive and functional decline in cognitively unimpaired older adults.

methodsWe analyzed 866 amyloid-positive participants from the Anti-Amyloid Treatment in Asymptomatic Alzheimer's Disease (A4) trial and 343 amyloid-negative individuals from the Longitudinal Evaluation of Amyloid Risk and Neurodegeneration (LEARN) study. Decline was defined as a ≥0.5 increase in Clinical Dementia Rating-Global Score over 240 weeks. The separate and joint value of demographics, apolipoprotein E (

resultsThe p-tau217 and PACC significantly improved prediction. Full models achieved areas under the curve (AUCs) of 0.78-0.80 across cohorts. Additional plasma biomarkers offered modest AUC gains (1%-3%). DISCUSSION: The p-tau217 and PACC enhanced prediction of preclinical decline, supporting their utility in early identification and trial enrichment in AD.

Indexed as

ADCS‐PACCAlzheimer's diseasecognitive declineplasma biomarkerspredictive models

Identifiers

PMID41948540
PMCPMC13052122

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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.