Evidence map›Paper›PMID 41306895›Full record

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

Leveraging recent advances in plasma biomarkers to optimize early proof of concept trials in Alzheimer's disease.

Garrett B Duncan, Samuel P Dickson, Johanne M Kaplan, Samuel B Johnson, Tyler M Duke, Caleb W Dayley, Suzanne B Hendrix, Larry D Altstiel, Craig H Mallinckrodt

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 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. 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.

Garrett B DuncanStatistical Consulting Pentara Corporation Salt Lake City Utah USA.
Samuel P DicksonStatistical Consulting Pentara Corporation Salt Lake City Utah USA.
Johanne M KaplanCambridge Innovation Center ProMIS Neurosciences, Inc. Cambridge Massachusetts USA.
Samuel B JohnsonStatistical Consulting Pentara Corporation Salt Lake City Utah USA.
Tyler M DukeStatistical Consulting Pentara Corporation Salt Lake City Utah USA.
Caleb W DayleyStatistical Consulting Pentara Corporation Salt Lake City Utah USA.
Suzanne B HendrixStatistical Consulting Pentara Corporation Salt Lake City Utah USA.ORCID https://orcid.org/0000-0002-2374-7727
Larry D AltstielCambridge Innovation Center ProMIS Neurosciences, Inc. Cambridge Massachusetts USA.
Craig H MallinckrodtStatistical Consulting Pentara Corporation Salt Lake City Utah USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe importance of biomarkers as a primary outcome or as supportive evidence of clinical effect is rising as the field shifts toward disease-modifying treatments and earlier intervention, because they have lower variability and can indicate disease progression earlier than clinical outcomes. This study assessed the performance of plasma pTau 181 and 217 as a predictive biomarker and potential primary endpoint in early-phase Alzheimer's disease (AD) trials.

methodsSummary data from recent monoclonal antibody (mAb) trials including plasma pTau 181 and 217 were analyzed to evaluate associations between plasma pTau 181/217 and clinical outcomes. The suitability of plasma pTau 181/217 as a surrogate endpoint for internal decision making was assessed using Prentice criteria. Simulations were conducted to explore the statistical power of using plasma pTau 181/217 as a primary outcome in dose-escalation, proof-of-concept (POC) trial designs. Additional criteria for biomarker validation were applied to simulated data.

resultsA strong group-level correlation (

conclusionPlasma pTau 181/217 at 6 months shows future promise to reasonably likely predict clinical benefit for drugs that reduce pTau 181/217 levels, supporting its use as a primary endpoint in early-phase trials. With effect sizes similar to those seen with donanemab, adequately powered trials may require as few as 100 participants. Such trials should include prespecified analyses to evaluate individual-level Prentice criteria, and pTau 181/217 results can be used to predict potential Phase 3 clinical outcomes. Highlights: The group-level correlation between a biomarker treatment effect and clinical endpoint treatment effect is a measurement of the biomarker's ability to predict clinical outcome.The correlation of group level plasma pT217 or pT181 effect size at 6 months with clinical outcome Clinical Dementia Rating scale - Sum of Boxes (CDR-SB) effect size at 12 months was approximately 0.781 with p values of 0.013.Cohen's d effect size of plasma pTau as an outcome was 2.6 times greater than the Cohen's d of CDR-SB, leading to higher power or lower sample sizes.As a primary endpoint, plasma pTau meets or reasonably meets Prentice Criteria 1, 2, and 4, while Criterion 3 was deemed not applicable in the proof-of-concept study setting.

Indexed as

biomarkersplasma pTauproof‐of‐concept studysurrogate endpoints

Identifiers

PMID41306895
PMCPMC12645156

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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.