Evidence map›Paper›PMID 39801136›Full record

ArticleJournal of Alzheimer's disease : JAD2025

Effect of genetic and vascular risk factors on rates of cognitive decline in early-onset and late-onset Alzheimer's disease.

Yunyi Li, Apoorva Bharthur Sanjay, Mohit Manchella, Aryan Mishra, Paige E Logan, Hee Jin Kim, Shannon L Risacher, Sujuan Gao, Liana G Apostolova, Alzheimer's Disease Neuroimaging Initiative *

Abstract read
In one paragraph

Article in Journal of Alzheimer's disease : JAD, 2025. 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

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

10 authors.

Yunyi LiDepartment of Biostatistics and Health Data Science, Indiana University School of Medicine, Indianapolis, IN, USA.ORCID 0000-0002-3100-0498
Apoorva Bharthur SanjayDepartment of Neurology, Indiana University School of Medicine, Indianapolis, IN, USA.
Mohit ManchellaDepartment of Chemistry, University of Southern Indiana, Evansville, IN, USA.
Aryan MishraDepartment of Medical Sciences, Indiana University School of Medicine, Indianapolis, IN, USA.
Paige E LoganDepartment of Neurology, Indiana University School of Medicine, Indianapolis, IN, USA.
Hee Jin KimDepartment of Neurology, Indiana University School of Medicine, Indianapolis, IN, USA.
Shannon L RisacherIndiana Alzheimer's Disease Research Center, Indianapolis, IN, USA.
Sujuan GaoDepartment of Biostatistics and Health Data Science, Indiana University School of Medicine, Indianapolis, IN, USA.
Liana G ApostolovaDepartment of Neurology, Indiana University School of Medicine, Indianapolis, IN, USA.
Alzheimer's Disease Neuroimaging Initiative *

Funding

Project 1U19AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE/RES/EDU · PI William J. Jagust · 2016 to 2026
$226.7M
Early Onset AD Consortium - the LEAD Study (LEADS)U01AG057195 · NIA · INDIANA UNIVERSITY INDIANAPOLIS · PI APOSTOLOVA, LIANA G, CARRILLO, MARIA C · 2018 to 2023
$70.3M
Research Education ComponentP30AG010133 · NIA · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI SAYKIN, ANDREW J · 1991 to 2020
$37.3M
Research Education ComponentP30AG072976 · NIA · INDIANA UNIVERSITY INDIANAPOLIS · PI ANDREW J SAYKIN · 2021 to 2026
$24.1M
Leveraging Neuroimaging Biomarkers to Understand the Role of Social Networks in Alzheimer's DiseaseR01AG057739 · NIA · TRUSTEES OF INDIANA UNIVERSITY · PI APOSTOLOVA, LIANA G, PERRY, BREA LOUISE · 2018 to 2022
$3.5M
Academic Leadership Award for Statistical Training in Multidisciplinary Aging ResearchK07AG076659 · NIA · INDIANA UNIVERSITY INDIANAPOLIS · PI SUJUAN GAO · 2022 to 2026
$777k
NIA NIH HHS K07 AG076659NIA NIH HHS P30 AG010133NIA NIH HHS P30 AG072976NIA NIH HHS R01 AG057739NIA NIH HHS U01 AG057195NIA NIH HHS U19 AG024904
6 · The paper itself

Abstract

backgroundAlthough previous studies have shown that cognitive decline in Alzheimer's disease (AD) is associated with various risk factors, they primarily focused on late-onset AD (LOAD).

objectiveWe aim to evaluate the differential impact of risk factors on the cognitive decline between early-onset AD (EOAD, onset < 65 years) and LOAD (onset

methodsUsing data from 212 EOAD and 1101 LOAD participants in the Alzheimer's Disease Neuroimaging Initiative (ADNI), we conducted multivariable mixed-effect models to evaluate the impact of

results

conclusionsKnown risk factors for AD were associated with cognitive decline in both EOAD and LOAD cohorts.

Indexed as

Alzheimer DiseaseApolipoprotein E4Cognitive DysfunctionAgedAged, 80 and overAge of OnsetAtrophyCohort StudiesFemaleHumansLongitudinal StudiesMagnetic Resonance ImagingMaleMiddle AgedNeuropsychological TestsRisk FactorsApolipoprotein E4Alzheimer's diseaseApolipoprotein E4 (APOE ε4)cognitive decline

Identifiers

PMID39801136
PMCPMC12001323

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.