Evidence map›Paper›PMID 42421822›Full record

ArticleAlzheimer's & dementia (New York, N. Y.)

Identifying populations with faster cognitive decline using blood-based biomarkers.

James Russell Pike, Yongmei Liu, Theresa Chisolm, Jennifer Deal, Jingzhong Ding, Rebecca F Gottesman, Alison Huang, Timothy M Hughes, Kurt Lohman, Mason McCray and 8 more

Abstract read
In one paragraph

Article in Alzheimer's & dementia (New York, N. Y.). 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

18 authors.

James Russell PikeOptimal Aging Institute New York University Grossman School of Medicine New York New York USA.ORCID https://orcid.org/0000-0002-6858-620X
Yongmei LiuDepartment of Medicine, Division of Cardiology Duke University Durham North Carolina USA.
Theresa ChisolmDepartment of Communication Sciences & Disorders, College of Behavioral & Community Sciences University of South Florida Tampa Florida USA.
Jennifer DealDepartment of Epidemiology Johns Hopkins Bloomberg School of Public Health Baltimore Maryland USA.
Jingzhong DingDepartment of Internal Medicine Wake Forest University School of Medicine Winston-Salem North Carolina USA.
Rebecca F GottesmanNational Institute of Neurological Disorders & Stroke Intramural Research Program National Institutes of Health Bethesda Maryland USA.
Alison HuangOptimal Aging Institute New York University Grossman School of Medicine New York New York USA.
Timothy M HughesDepartment of Internal Medicine Wake Forest University School of Medicine Winston-Salem North Carolina USA.
Kurt LohmanDepartment of Medicine, Division of Cardiology Duke University Durham North Carolina USA.
Mason McCrayDepartment of Medicine, Division of Cardiology Duke University Durham North Carolina USA.
Thomas H MosleyThe MIND Center University of Mississippi Medical Center Jackson Mississippi USA.
Anh Tram NguyenDepartment of Medicine, Division of Cardiology Duke University Durham North Carolina USA.
Priya PaltaDepartment of Neurology University of North Carolina at Chapel Hill Chapel Hill North Carolina USA.
Nicholas ReedOptimal Aging Institute New York University Grossman School of Medicine New York New York USA.
Kevin J SullivanThe MIND Center University of Mississippi Medical Center Jackson Mississippi USA.
Bharat ThyagarajanDepartment of Laboratory Medicine and Pathology University of Minnesota Minneapolis Minnesota USA.
Keenan A WalkerLaboratory of Behavioral Neuroscience, Intramural Research Program National Institute on Aging Baltimore Maryland USA.
Josef CoreshOptimal Aging Institute New York University Grossman School of Medicine New York New York USA.

Funding

Research Education ComponentP30AG066507 · NIA · JOHNS HOPKINS UNIVERSITY · PI Corinne Pettigrew · 2020 to 2026
$29.3M
NIA NIH HHS P30 AG066507
6 · The paper itself

Abstract

introductionIdentifying individuals who undergo cognitive decline is vital to the success of prevention trials that aim to slow cognitive decline. Yet, the benefits of using blood-based biomarkers of neurodegeneration, as well as amyloid and tau, to enrich population-based prevention trials have not been quantified.

methodsThe association of thresholds of Quanterix single molecule array (SiMoA) assays with subsequent change in cognition was estimated in the Atherosclerosis Risk in Communities cohort (

resultsElevated plasma biomarker levels identified dementia-free older adults with faster cognitive decline. By selecting participants with Quanterix SiMoA measurements of neurofilament light > 30.65 pg/mL, the sample size needed to detect a 33% reduction in cognitive decline in a clinical trial decreased by 57%. DISCUSSION: Clinical trials can use plasma biomarkers as a screening tool to increase statistical power.

Indexed as

blood biomarkersclinical trialcognitive declinedementiaplasma biomarkerspower analysis

Identifiers

PMID42421822
PMCPMC13344891

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.