Evidence map›Paper›PMID 40225236›Full record

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

Clinical efficacy of anti-amyloid antibodies in apolipoprotein E ε4 homozygotes: A Bayesian reanalysis of lecanemab and donanemab phase 3 results.

Stefan Teipel, Yi Tang, Ara Khachaturian

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 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Review
  4. Review
  5. Review
  6. 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

3 authors.

Stefan TeipelGerman Center of Neurodegenerative Diseases (DZNE), Rostock/Greifswald Rostock Germany.ORCID https://orcid.org/0000-0002-3586-3194
Yi TangDepartment of Neurology Capital Medical University Beijing China.
Ara KhachaturianBrain Watch Coalition Rockville Maryland USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionWe aimed to determine the clinical efficacy of treating apolipoprotein E (ApoE) ε4 homozygotes with recently approved anti-amyloid antibodies.

methodsData were derived from supplementary analyses in the regulatory studies Clarity (lecanemab) and TRAILBLAZER-ALZ2 (donanemab). We used Bayesian reanalysis with an independent t-statistic to determine evidence for or against an effect of antibody treatment on Clinical Dementia Rating scale Sum of Boxes (CDR-SB) in ApoE ε4 homozygotes, and a Bayesian random-effect meta-analysis to determine the effect size.

resultsThe Bayesian reanalysis showed moderate evidence of no effect for both antibodies. For donanemab and lecanemab, the odds of no difference in treatment effect were nearly three times greater than the odds of a difference. The meta-analysis revealed a small effect of -0.06 CDR-SB points in favor of treatment with a moderate heterogeneity estimate. The Bayes factor was 0.26, indicating that the absence of an effect was almost four times more likely than the presence of an effect. DISCUSSION: The most likely explanation for our results is the lack of a treatment effect for lecanemab and donanemab in ApoE Highlights: Lecanemab and donanemab were clinically ineffective in ApoE ε4 homozygotes.ApoE ε4 homozygotes should not receive these treatments due to inefficacy.Future trials should adopt Bayesian analysis strategies.Bayesian analysis provides evidence for or against treatment effects.Bayesian inference provides clinically interpretable results.

Indexed as

Alzheimer's diseaseApoE ε4Bayesian reanalysisCDR‐SBclarityTRAILBLAZER‐ALZ2

Identifiers

PMID40225236
PMCPMC11982174

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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.