Evidence map›Paper›PMID 42661728›Full record

ArticleAlzheimer's & dementia (Amsterdam, Netherlands)

Real-world evidence for amyloid-targeted therapies: Lecanemab and donanemab.

Ryan Hakim, Kristofer Harris, Livia Merrill, Amanda Falk-Vargas, Eileen Whalen, Tianxu Xia, Olga Ochoa, David Hunter, Paul Ernest Schulz

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. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Ryan HakimDepartment of Neurology The McGovern Medical School of UTHealth Houston Texas USA.ORCID https://orcid.org/0000-0003-3254-9113
Kristofer HarrisDepartment of Neurology The McGovern Medical School of UTHealth Houston Texas USA.
Livia MerrillDepartment of Neurology The McGovern Medical School of UTHealth Houston Texas USA.
Amanda Falk-VargasDepartment of Neurology The McGovern Medical School of UTHealth Houston Texas USA.
Eileen WhalenDepartment of Neurology The McGovern Medical School of UTHealth Houston Texas USA.
Tianxu XiaDepartment of Neurology The McGovern Medical School of UTHealth Houston Texas USA.
Olga OchoaDepartment of Neurology The McGovern Medical School of UTHealth Houston Texas USA.
David HunterDepartment of Neurology The McGovern Medical School of UTHealth Houston Texas USA.
Paul Ernest SchulzDepartment of Neurology The McGovern Medical School of UTHealth Houston Texas USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionReal-world safety data on amyloid-targeted therapies in early Alzheimer's disease remain limited, particularly for modified donanemab titration and direct lecanemab-donanemab comparisons.

methodsRetrospective review of 172 amyloid-positive patients treated with lecanemab (

resultsAmyloid-related imaging abnormalities (ARIA) occurred in 11.2% (10/89) with lecanemab and 13.3% (11/83) with donanemab-less than in pivotal trials. Modified donanemab titration reduced ARIA versus the original protocol (8.1% vs 28.6%; DISCUSSION: In a real-world cohort representing patients excluded from trials, ARIA and IRR rates matched or improved upon pivotal trials, supporting safe ATT use under FDA-approved MRI intervals.

Indexed as

Alzheimer's diseaseamyloid‐related imaging abnormalitiesanti‐amyloid monoclonal antibodiesAPOE ε4ARIA‐EARIA‐HdonanemabInfusion‐related reactionslecanemabmodified titration dosingMRI surveillancereal‐world evidencesafety and tolerability

Identifiers

PMID42661728
PMCPMC13518372

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.