Evidence map›Paper›PMID 40257679›Full record

ArticleNeurology and therapy2025

Real-World Experience with FcRn Inhibitors Efgartigimod and Rozanolixizumab in Myasthenia Gravis: Administration in Multiple Cycles and Transition from Intravenous to Subcutaneous Formulation.

Masaaki Yoshikawa, Yukako Inoue, Koya Tanaka, Keisuke Tsumura, Yuki Hoshino, Chika Shichijo, Toshihiro Ide, Kohei Suzuyama, Megumi Iwasaki, Makoto Eriguchi and 3 more

Abstract read
In one paragraph

Article in Neurology and therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

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

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

  1. Pooled it
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  3. Article
  4. Article
  5. Article
  6. Heterogeneous response to efgartigimod in real-world experience with myasthenia gravis: Predictors and treatment strategies.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2026
    Article
  7. Review
  8. Article
  9. Review
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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

13 authors.

Masaaki YoshikawaDivision of Neurology, Department of Internal Medicine, Faculty of Medicine, Saga University, 5-1-1, Nabeshima, Saga, 849-8501, Japan.
Yukako InoueDepartment of Neurology, Saga-Ken Medical Center Koseikan, Saga, Japan.
Koya TanakaDepartment of Neurology, Saga-Ken Medical Center Koseikan, Saga, Japan.
Keisuke TsumuraDivision of Neurology, Department of Internal Medicine, Faculty of Medicine, Saga University, 5-1-1, Nabeshima, Saga, 849-8501, Japan.
Yuki HoshinoDivision of Neurology, Department of Internal Medicine, Faculty of Medicine, Saga University, 5-1-1, Nabeshima, Saga, 849-8501, Japan.
Chika ShichijoDivision of Neurology, Department of Internal Medicine, Faculty of Medicine, Saga University, 5-1-1, Nabeshima, Saga, 849-8501, Japan.
Toshihiro IdeDivision of Neurology, Department of Internal Medicine, Faculty of Medicine, Saga University, 5-1-1, Nabeshima, Saga, 849-8501, Japan.
Kohei SuzuyamaDivision of Neurology, Department of Internal Medicine, Faculty of Medicine, Saga University, 5-1-1, Nabeshima, Saga, 849-8501, Japan.
Megumi IwasakiDepartment of Neurology, Karatsu Red Cross Hospital, Karatsu, Japan.
Makoto EriguchiDepartment of Neurology, Saga-Ken Medical Center Koseikan, Saga, Japan.
Motohiro YukitakeDepartment of Neurology, Takagi Hospital, Okawa, Japan.
Hiroshi TakashimaDepartment of Neurology, Saga-Ken Medical Center Koseikan, Saga, Japan.
Haruki KoikeDivision of Neurology, Department of Internal Medicine, Faculty of Medicine, Saga University, 5-1-1, Nabeshima, Saga, 849-8501, Japan. koike@cc.saga-u.ac.jp.ORCID http://orcid.org/0000-0002-4612-3183

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe neonatal Fc receptor (FcRn) inhibitors efgartigimod and rozanolixizumab have not long been introduced for treating generalized myasthenia gravis (MG); hence, real-world evidence for their administration in multiple cycles and switching from intravenous to subcutaneous formulation remains insufficient.

methodsWe retrospectively assessed 17 consecutive patients with generalized MG and diverse backgrounds who were treated with FcRn inhibitors.

resultsAll patients initially received an intravenous efgartigimod formulation. Of 17 patients, 10 (59%) were considered responders, defined as a persistent improvement of at least two points for a minimum of four consecutive weeks in the MG activities of daily living score during the first treatment cycle. Four of the non-responders in the first cycle demonstrated an improvement in fulfilling the criteria for responders in the second cycle. One of these patients, who had thymoma metastatic lesions, experienced a significant worsening of MG symptoms during the first treatment cycle. Five patients switched from intravenous to subcutaneous formulations, which was successful in all patients. The efficacy of the subcutaneous formulations was similar to that of the intravenous formulation, even in patients who switched from efgartigimod to rozanolixizumab. The drugs were well tolerated without any drug-related serious adverse events irrespective of the formulation type.

conclusionFcRn inhibitors were effective and safe in patients with generalized MG, but their efficacy may depend on the disease activity during treatment. The transition from the intravenous formulation to more convenient subcutaneous formulations was successful, indicating the likely growth of future demand for subcutaneous formulations.

Indexed as

EfgartigimodFc receptor inhibitorsMyasthenia gravisNeonatal Fc receptorsRozanolixizumab

Identifiers

PMID40257679
PMCPMC12089629

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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.