Evidence map›Paper›PMID 41641094›Full record

ArticleAlzheimer's & dementia (Amsterdam, Netherlands)

Interchangeability of blood-based biomarkers and PET to identify Alzheimer's disease pathology.

Jian Wang, Joel B Braunstein, Robin Wolz, Laura Harper, Tricia Locascio, Holly E McPherson, Richard Mohs, Michael J Pontecorvo, Samantha C Burnham

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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Substituting blood-based biomarkers for imaging measures in Alzheimer's disease studies: implications for sample size and bias.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026
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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.

Jian WangEli Lilly and Company Indianapolis Indiana USA.
Joel B BraunsteinC2N Diagnostics St. Louis Missouri USA.
Robin WolzImperial College London London UK.
Laura HarperEli Lilly and Company Indianapolis Indiana USA.
Tricia LocascioEli Lilly and Company Indianapolis Indiana USA.
Holly E McPhersonEli Lilly and Company Indianapolis Indiana USA.
Richard MohsGlobal Alzheimer's Platform Foundation Washington District of Columbia USA.
Michael J PontecorvoEli Lilly and Company Indianapolis Indiana USA.
Samantha C BurnhamEli Lilly and Company Indianapolis Indiana USA.ORCID https://orcid.org/0000-0003-4805-5193

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionEstablishing interchangeability between blood biomarkers and amyloid-positron emission tomography (PET) could help identify patients who would benefit from novel amyloid-targeting therapies for Alzheimer's disease.

methodsAdult participants from the Global Alzheimer's Platform Foundation's Bio-Hermes study with clinical diagnosis of mild cognitive impairment/mild dementia and available amyloid-PET evaluations and Aβ42/40-based PrecivityAD

resultsPrecivityAD ( DISCUSSION: Results support the hypothesis that blood biomarkers may be interchangeable with amyloid-PET criteria for selecting patients who may benefit from treatment with novel amyloid-targeting therapies. Highlights: Interchangeability of plasma-based tests and amyloid-PET stratifications was demonstrated.Non-inferiority of plasma-based biomarkers to amyloid-PET for identifying patients with AD pathology was observed.High agreement between plasma-based test stratification and florbetapir-PET expert visual read was observed.

Indexed as

AD pathologyAlzheimer's diseaseamyloid betablood biomarkersconcordance analysisplasma biomarkerspositron emission tomographytau

Identifiers

PMID41641094
PMCPMC12865316

What OpenQuestion holds

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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.