Evidence map›Paper›PMID 42851151›Full record

SynthesisEuropean journal of neurology2026

Co-Occurrence of Facioscapulohumeral Muscular Dystrophy and Myasthenia Gravis: A Systematic Review and Meta-Analysis of Individual Patient Data.

Pricilla Yani Gunawan, Jeremiah Hilkiah Wijaya

Abstract readSystematic ReviewMeta-AnalysisReview
In one paragraph

Synthesis in European journal of neurology, 2026. 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

2 authors.

Pricilla Yani GunawanDepartment of Neurology, Faculty of Medicine, Universitas Pelita Harapan, Tangerang, Banten, Indonesia.ORCID https://orcid.org/0000-0002-5620-3267
Jeremiah Hilkiah WijayaSchool of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.ORCID https://orcid.org/0000-0001-8771-2163

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCo-occurrence of facioscapulohumeral muscular dystrophy (FSHD) and myasthenia gravis (MG) is rare but clinically critical, as treatable MG symptoms may be misattributed to FSHD progression. This systematic review and meta-analysis aimed to comprehensively characterize patients with both conditions and to quantitatively synthesize the available individual patient data.

methodsFollowing PRISMA 2020 guidelines, we searched four databases until 3 April 2026 for original reports providing individual-patient data on confirmed FSHD and MG co-occurrence. We performed descriptive and quantitative syntheses of clinical, genetic, and therapeutic variables.

resultsNine studies were systematically reviewed, with 29 patients contributing to on. FSHD onset significantly preceded MG onset, with a pooled mean interval of 24.21 years. The pooled mean age at MG onset was 62.62 years. All tested patients were acetylcholine receptor antibody positive. MG frequently presented with ocular and bulbar manifestations. Crucially, the pooled estimate for clinical improvement following standard MG-directed therapies was 89.7%.

conclusionMG in FSHD patients typically emerges late in adulthood as an antibody-positive autoimmune synaptopathy. Recognizing new ocular or bulbar weakness as superimposed MG is essential, providing a highly treatable avenue to reverse functional decline in patients with established myopathy.

Indexed as

Muscular Dystrophy, FacioscapulohumeralMyasthenia GravisHumansfacioscapulohumeral muscular dystrophyindividual patient datameta‐analysismyasthenia gravis

Identifiers

PMID42851151
PMCPMC13650604

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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.