Evidence map›Paper›PMID 42234197›Full record

Trial reportJournal of neurology2026

Clinical effectiveness of efgartigimod in a broad population of patients with generalized myasthenia gravis: subgroup analyses from a randomized, double‑blind, placebo‑controlled, phase 3 trial (ADAPT).

James F Howard, Francesco Saccà, Sarah Hoffmann, Shahram Attarian, Jan L De Bleecker, Jon Beauchamp, Edward Brauer, René Kerstens, John Vissing, Andreas Meisel and 1 more

Registry-linked trialAbstract readRandomized Controlled TrialClinical Trial, Phase IIIMulticenter Study
In one paragraph

Trial report in Journal of neurology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03669588 (A Randomized, Double-Blind, Placebo-Controlled, Multicenter Phase 3 Trial to Evaluate the Efficacy, Safety and Tolerability of ARGX-113 in Patients With Myasthenia Gravis Having Generalized Muscle Weakness), which is not on this 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.

NCT03669588 phase3completednot on this map

A Randomized, Double-Blind, Placebo-Controlled, Multicenter Phase 3 Trial to Evaluate the Efficacy, Safety and Tolerability of ARGX-113 in Patients With Myasthenia Gravis Having Generalized Muscle Weakness

TypeinterventionalSponsorargenxRan2018 to 2020Enrolled167ConditionsGeneralized Myasthenia GravisArmsARGX-113, Placebo
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

11 authors.

James F HowardDepartment of Neurology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Francesco SaccàGENESIS Department, Federico II University, Naples, Italy.
Sarah HoffmannDepartment of Neurology With Experimental Neurology, Integrated Myasthenia Gravis Center, Neuroscience Clinical Research Center, Charité Universitätsmedizin Berlin, Berlin, Germany.
Shahram AttarianReference Center for Neuromuscular Diseases and ALS, Timone University Hospital, Marseille, Aix-Marseille, France.
Jan L De BleeckerDepartment of Neurology, University Hospital Ghent, Ghent, Belgium.
Jon Beauchampargenx, Ghent, Belgium.
Edward Brauerargenx, Ghent, Belgium.
René Kerstensargenx, Ghent, Belgium.
John VissingCopenhagen Neuromuscular Center, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark.
Andreas MeiselDepartment of Neurology With Experimental Neurology, Integrated Myasthenia Gravis Center, Neuroscience Clinical Research Center, Charité Universitätsmedizin Berlin, Berlin, Germany. andreas.meisel@charite.de.ORCID http://orcid.org/0000-0001-7233-5342
ADAPT Study Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe ADAPT phase 3 trial (NCT03669588) showed efgartigimod was well tolerated and efficacious in acetylcholine receptor antibody-positive (AChR-Ab +) patients with generalized myasthenia gravis (gMG). This analysis utilized data from the ADAPT trial to investigate the efficacy and safety of efgartigimod in different patient subgroups.

methodsADAPT included a broad population of AChR-Ab + participants who received a stable dose of ≥ 1 (any) treatment for gMG and were randomized 1:1 to efgartigimod (10 mg/kg) or placebo (administered as four once-weekly infusions per cycle) for 26 weeks. Myasthenia Gravis Activities of Daily Living (MG-ADL) and Quantitative Myasthenia Gravis (QMG) responder rates in cycles 1 and 2, and rates of treatment-emergent adverse events (TEAEs) were analyzed in the following patient subgroups: history of nonsteroidal immunosuppressive treatment (NSIST), concomitant use of gMG treatments throughout the study, and baseline patient and disease characteristics, including time since diagnosis, age, baseline MG-ADL score, body mass index (BMI), sex, and prior thymectomy.

resultsIn total, 129 AChR-Ab + participants were included (efgartigimod, n = 65; placebo, n = 64). Across all subgroups, higher MG-ADL and QMG responder rates were observed in participants treated with efgartigimod versus placebo during cycles 1 and 2. Rates of TEAEs were similar between participants treated with efgartigimod and placebo, regardless of concomitant gMG treatment type.

conclusionSimilar to outcomes observed in the ADAPT overall population, efgartigimod was well tolerated and efficacious across a broad range of patients, regardless of NSIST treatment history, concomitant use of gMG treatments, or baseline patient and disease characteristics.

trial registrationClinicalTrials.gov: NCT03669588 (registered September 13, 2018).

Indexed as

Myasthenia GravisActivities of Daily LivingAdultAgedDouble-Blind MethodFemaleHumansMaleMiddle AgedReceptors, CholinergicTreatment Effect HeterogeneityTreatment OutcomeReceptors, CholinergicEfficacyEfgartigimodGeneralized myasthenia gravisSafetySubgroups

Identifiers

PMID42234197
PMCPMC13233976

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Registered trials

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.