Evidence map›Paper›PMID 37882364›Full record

ArticleAlzheimer's & dementia : the journal of the Alzheimer's Association2024

Precision medicine analysis of heterogeneity in individual-level treatment response to amyloid beta removal in early Alzheimer's disease.

Menglan Pang, Audrey Gabelle, Paramita Saha-Chaudhuri, Willem Huijbers, Arie Gafson, Paul M Matthews, Lu Tian, Ivana Rubino, Richard Hughes, Carl de Moor and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
4.2field-weighted citation impact, top 5% of its field
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

17 citing papers in PubMed, 24 citations in OpenAlex.

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  12. Alzheimer's disease pathophysiology in the Retina.Progress in retinal and eye research · 2024
    Review
  13. Article
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  15. Article
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  17. One step forward to personalized medicine?Alzheimer's & dementia (New York, N. Y.)
    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

12 authors at 3 institutions in 2 countries.

Menglan PangBiogen Digital Health, Biogen, Cambridge, Massachusetts, USA.
Audrey GabelleBiogen Digital Health, Biogen, Cambridge, Massachusetts, USA.
Paramita Saha-ChaudhuriBiogen Digital Health, Biogen, Cambridge, Massachusetts, USA.
Willem HuijbersBiogen Digital Health, Biogen, Cambridge, Massachusetts, USA.
Arie GafsonBiogen Digital Health, Biogen, Cambridge, Massachusetts, USA.
Paul M MatthewsDepartment of Brain Sciences, Faculty of Medicine, Imperial College London, London, UK.
Lu TianBiomedical Data Science and Statistics, Stanford University School of Medicine, Stanford, California, USA.
Ivana RubinoBiogen, Cambridge, Massachusetts, USA.
Richard HughesBiogen Digital Health, Biogen, Cambridge, Massachusetts, USA.
Carl de MoorBiogen Digital Health, Biogen, Cambridge, Massachusetts, USA.
Shibeshih BelachewBiogen Digital Health, Biogen, Cambridge, Massachusetts, USA.
Changyu ShenBiogen Digital Health, Biogen, Cambridge, Massachusetts, USA.ORCID 0000-0002-4444-0943
Biogen (United States) · USStanford University · USUK Dementia Research Institute · GB

Funding

Stanford Center for Clinical & Translational Education and Research (Spectrum)UL1TR003142 · NCATS · STANFORD UNIVERSITY · PI O'HARA, RUTH M · 2019 to 2023
$45.0M
Statistical Methods for Optimizing Personalized Treatment SelectionR01HL089778 · NHLBI · STANFORD UNIVERSITY · PI LU TIAN · 2008 to 2026
$4.8M
NCATS NIH HHS UL1 TR003142NHLBI NIH HHS R01 HL089778
6 · The paper itself

Abstract

introductionAlzheimer's disease (AD) is a neurological disorder with variability in pathology and clinical progression. AD patients may differ in individual-level benefit from amyloid beta removal therapy.

methodsRandom forest models were applied to the EMERGE trial to create an individual-level treatment response (ITR) score which represents individual-level benefit of high-dose aducanumab relative to the placebo. This ITR score was used to test the existence of heterogeneity in treatment effect (HTE).

resultsWe found statistical evidence of HTE in the Clinical Dementia Rating-Sum of Boxes (CDR-SB;P =  0.034). The observed CDR-SB benefit was 0.79 points greater in the group with the top 25% of ITR score compared to the remaining 75% (P = 0.020). Of note, the highest treatment responders had lower hippocampal volume, higher plasma phosphorylated tau 181 and a shorter duration of clinical AD at baseline. DISCUSSION: This ITR analysis provides a proof of concept for precision medicine in future AD research and drug development. HIGHLIGHTS: Emerging trials have shown a population-level benefit from amyloid beta (Aβ) removal in slowing cognitive decline in early Alzheimer's disease (AD). This work demonstrates significant heterogeneity of individual-level treatment effect of aducanumab in early AD. The greatest clinical responders to Aβ removal therapy have a pattern of more severe neurodegenerative process.

Indexed as

Alzheimer DiseaseCognitive DysfunctionAmyloid beta-PeptidesHippocampusHumansPrecision MedicineAmyloid beta-PeptidesAlzheimer's diseaseamyloidclinical trialspersonalized medicineresponse to treatment

Identifiers

PMID37882364
PMCPMC10917030
OpenAlexW4387949074

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.