Evidence map›Paper›PMID 40918062›Full record

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

Sex differences in treatment effects of lecanemab and donanemab: A Bayesian reanalysis of CLARITY-AD and TRAILBLAZER-ALZ2.

Stefan J 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 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. The Neurology of Menopause.Current neurology and neuroscience reports · 2026
    Review
  5. Considerations in Alzheimer's Disease in Women.Current neurology and neuroscience reports · 2026
    Review
  6. Review
  7. Review
  8. Review
  9. Review
  10. 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

3 authors.

Stefan J TeipelGerman Center of Neurodegenerative Diseases (DZNE) Rostock/Greifswald Rostock Germany.
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

introductionThis study investigated evidence for or against a difference in treatment effect between women and men for lecanemab and donanemab.

methodsData were derived from supplementary analyses of the regulatory studies CLARITY-AD (lecanemab) and TRAILBLAZER-ALZ2 (donanemab). Bayes factor functions were used to analyze treatment effects on Clinical Dementia Rating Sum of Boxes (CDR-SB) scores.

resultsWe found moderate evidence of a lower treatment effect in women than in men for lecanemab (maximum Bayes factor = 5.97), suggesting that the presence of an effect was almost six times more likely than the absence of an effect. For donanemab, there was evidence against a treatment effect difference between women and men. There was evidence of a treatment effect difference between lecanemab and donanemab (maximum Bayes factor = 8.47) in women, but not in men. DISCUSSION: A better understanding of sex differences in treatment efficacy and their causes is urgently needed. Highlights: Lecanemab was six times more likely to be ineffective than effective in women.There was no evidence of a difference between the sexes in the effect of donanemab.Lecanemab and donenamb differed in treatment efficacy in women but not in men.Future trials should include sufficient power for sex related interaction effects.

Indexed as

anti‐amyloid antibodiespersonalized treatmentprespecified secondary analysissubgroupstreatment efficacy

Identifiers

PMID40918062
PMCPMC12412750

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.