Evidence map›Paper›PMID 40234939›Full record

ArticleAlzheimer's research & therapy2025

Enhanced associations between subjective cognitive concerns and blood-based AD biomarkers using a novel EMA approach.

Ángel García de la Garza, Caroline Nester, Cuiling Wang, Jacqueline Mogle, Nelson Roque, Mindy Katz, Carol A Derby, Richard B Lipton, Laura Rabin

Abstract read
In one paragraph

Article in Alzheimer's research & therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. 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

9 authors.

Ángel García de la GarzaDivision of Biostatistics, Department of Epidemiology and Population Health, Albert Einstein College of Medicine, 1300 Morris Park Ave Belfer Bldg 1308B, The Bronx, NY, 10461, USA. angel.garciadelagarza@einsteinmed.edu.
Caroline NesterDepartment of Psychiatry and Human Behavior, Brown University, Providence, USA.
Cuiling WangDivision of Biostatistics, Department of Epidemiology and Population Health, Albert Einstein College of Medicine, 1300 Morris Park Ave Belfer Bldg 1308B, The Bronx, NY, 10461, USA.
Jacqueline MogleDepartment of Psychology, College of Behavioral, Social and Health Sciences, Clemson University, Clemson, USA.
Nelson RoqueDepartment of Human Development and Family Studies, Pennsylvania State University, University Park, USA.
Mindy KatzSaul R. Korey Department of Neurology, Albert Einstein College of Medicine, Bronx, USA.
Carol A DerbySaul R. Korey Department of Neurology, Albert Einstein College of Medicine, Bronx, USA.
Richard B LiptonSaul R. Korey Department of Neurology, Albert Einstein College of Medicine, Bronx, USA.
Laura RabinDepartment of Psychology, The City University of New York, New York City, USA.

Funding

Einstein-Montefiore Clinical and Translational Science Award HubUM1TR004400 · NCATS · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI Jessica Kahn, Mimi Y Kim · 2023 to 2026
$17.3M
Pen-and-Paper and Smartphone Self-Reported Cognitive Concerns to Predict Longitudinal Alzheimer's Biomarkers in a Diverse, Non-Demented Older Adult PopulationR03AG095655 · NIA · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI GARCIA DE LA GARZA, ANGEL · 2025 to 2025
$336k
NCATS NIH HHS UM1 TR004400NIA NIH HHS P01 AG03949NIA NIH HHS R03 AG095655
6 · The paper itself

Abstract

backgroundSubjective cognitive concerns (SCC) have emerged as important early indicators of Alzheimer's disease (AD) risk. Traditional measures of SCC rely on recall-based assessments, which may be limited in capturing real-time fluctuations in cognitive concerns. Ecological Momentary Assessment (EMA) offers a promising alternative by providing real-time data. This study aimed to link SCC assessed via EMA and traditional measures with blood-based AD biomarkers in a diverse, dementia-free, community-based sample based in the Bronx, NY.

methodsEinstein Aging Study (EAS) participants underwent in-person, recall-based assessments of SCC during an in-clinic visit. Additionally, EMA SCC assessments were collected once per day over two weeks. Linear regressions were conducted to examine the relationships between SCC variables and plasma biomarkers adjusted for demographics and mild cognitive impairment (MCI) status.

resultsIn N = 254 participants, EMA-reported SCCs demonstrated significant associations with AD biomarkers, particularly p-tau181 (β = 0.21, p = 0.001). Further, significant associations remain across both cognitive (cognitively unimpaired vs. MCI) and racial groups. In contrast, traditional SCC measures exhibited limited associations with these biomarkers. The findings highlight the added value of EMA in capturing SCCs that could indicate early ADRD risk.

conclusionsEMA provides a more dynamic and potentially sensitive method for detecting early AD risk compared to traditional SCC assessments. These real-time measures could enhance early detection and clinical intervention, particularly in diverse and under-resourced populations. This study underscores the potential of EMA for broad applicability and inclusivity in monitoring AD progression and facilitating early therapeutic interventions.

Indexed as

Alzheimer DiseaseCognitionCognitive DysfunctionEcological Momentary AssessmentAgedAged, 80 and overAmyloid beta-PeptidesBiomarkersFemaleHumansMaleMiddle AgedNeuropsychological Teststau ProteinsAmyloid beta-PeptidesBiomarkerstau ProteinsAlzheimer’s diseaseBlood-based biomarkersCognitive concernsDementia riskEcological momentary assessmentsSubjective cognitive decline

Identifiers

PMID40234939
PMCPMC11998261

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LicenceCC BY
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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.