Evidence map›Paper›PMID 42015324›Full record

ArticleAlzheimer's & dementia : the journal of the Alzheimer's Association2026

Divergent patterns of cognitive decline in preclinical Alzheimer's disease: Implications for secondary prevention trials.

Runpeng Li, Oliver Langford, Philip S Insel, Reisa A Sperling, Rema Raman, Paul S Aisen, Michael C Donohue

Abstract read
In one paragraph

Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Runpeng LiUSC Epstein Family Alzheimer's Therapeutic Research Institute, University of Southern California, San Diego, California, USA.
Oliver LangfordUSC Epstein Family Alzheimer's Therapeutic Research Institute, University of Southern California, San Diego, California, USA.
Philip S InselDepartment of Psychiatry, University of California, San Francisco, California, USA.
Reisa A SperlingCenter for Alzheimer Research and Treatment, Brigham and Women's Hospital, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Rema RamanUSC Epstein Family Alzheimer's Therapeutic Research Institute, University of Southern California, San Diego, California, USA.
Paul S AisenUSC Epstein Family Alzheimer's Therapeutic Research Institute, University of Southern California, San Diego, California, USA.
Michael C DonohueUSC Epstein Family Alzheimer's Therapeutic Research Institute, University of Southern California, San Diego, California, USA.ORCID 0000-0001-6026-2238

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
Building predictive algorithms to identify resilience and resistance to Alzheimer's diseaseR01AG079142 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI Rachel Frances Buckley, Michael C Donohue · 2023 to 2026
$4.0M
Alzheimer's AssociationAvid RadiopharmaceuticalsEli Lilly and CompanyEpstein Family FoundationFoundation for the National Institutes of HealthGHR FoundationNIA NIH HHS R01 AG063689NIA NIH HHS R01 AG079142NIA NIH HHS U19 AG010483NIA NIH HHS U24 AG057437NIA NIH HHS U24AG057437
6 · The paper itself

Abstract

introductionBiomarkers identify Alzheimer's disease pathology in cognitively unimpaired adults, but the timing and rate of cognitive decline vary widely. This study aimed to identify subgroups of cognitive decline and baseline predictors of heterogeneity in preclinical progression.

methodsData were drawn from the Anti-Amyloid Treatment in Asymptomatic Alzheimer's Disease Study, which enrolled amyloid beta-positive (Aβ+) participants, and the Longitudinal Evaluation of Amyloid Risk and Neurodegeneration (LEARN) Study, which enrolled amyloid beta-negative (Aβ-) individuals. Latent class mixed-effects models identified cognitive trajectory classes. Associations between class membership and demographic, clinical, and biomarker variables were evaluated. The primary outcome was change in the Preclinical Alzheimer Cognitive Composite.

resultsThree trajectory classes were identified: stable, slow decliners, and fast decliners. Higher phosphorylated tau at 217 (p-tau217), smaller hippocampal volume, and elevated tau positron emission tomography were associated with declining classes. About 70% of Aβ+ individuals were stable. DISCUSSION: Latent class modeling reveals substantial heterogeneity in preclinical trajectories with important implications for prevention trial design.

Indexed as

Alzheimer DiseaseCognitive DysfunctionSecondary PreventionAgedAmyloid beta-PeptidesBiomarkersDisease ProgressionFemaleHippocampusHumansLongitudinal StudiesMaleNeuropsychological TestsPositron-Emission TomographyProdromal Symptomstau ProteinsAmyloid beta-PeptidesBiomarkerstau Proteinsclinical trial designcognitive declinelatent class mixed‐effects modelpreclinical Alzheimer's disease

Identifiers

PMID42015324
PMCPMC13099594

What OpenQuestion holds

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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.