ArticleHuman vaccines & immunotherapeutics2025
Pharmacovigilance analysis of FcRn antagonists in the treatment of myasthenia gravis: A disproportionality analysis based on the FAERS database.
Article in Human vaccines & immunotherapeutics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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.
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.
Who cites it
7 citing papers in PubMed.
- Pharmacovigilance signals of dupilumab among pediatric patients: A real‑world analysis based on the FAERS database.Human vaccines & immunotherapeutics · 2026Article
- Real‑world pharmacovigilance of rituximab‑associated adverse reactions in children and adolescents: Disproportionality signal detection and time‑to‑onset pattern characterization using the FAERS database.Human vaccines & immunotherapeutics · 2026Article
- Antidiabetic and Antioxidant Potential of a New Bisglyceride Derivative Together with Other Compounds from the Root Bark ofMolecules (Basel, Switzerland) · 2026Article
- Optimization algorithm for improving the prediction accuracy of API solubility in green solvent.Scientific reports · 2026Article
- Contributions of Pharmacovigilance to the Understanding of Risks Associated with Ibuprofen: Descriptive and Disproportionality Analysis Using FAERS Data.Pharmaceuticals (Basel, Switzerland) · 2026Article
- Mechanism-aware and safety-validated AI for drug repurposing: a critical review and translational pharmacology framework.Frontiers in pharmacology · 2026Review
- Efgartigimod for generalized myasthenia gravis: a comprehensive review of clinical evidence and future perspectives.Frontiers in neurologyReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study aimed to evaluate the safety profiles of FcRn antagonists, efgartigimod alfa and rozanolixizumab, in the treatment of myasthenia gravis using real-world adverse event data from the FAERS database. A disproportionality analysis was conducted employing Reporting Odds Ratio (ROR) and Proportional Reporting Ratio (PRR) methods on reports from Q1 2022 to Q2 2025. The most frequently reported adverse events for efgartigimod alfa included falls, urinary tract infections, and symptom recurrence, with signals also detected for atrial fibrillation, peripheral neuropathy, and prostate cancer. For rozanolixizumab, common events were headache, diarrhea, and vomiting, with potential signals such as meningitis, hypersomnia, and feeding disorder. Subgroup analysis revealed gender-specific differences in adverse reactions. Most events occurred within 30 days of treatment initiation, though efgartigimod alfa showed a sustained risk beyond 180 days. The study identifies novel safety signals and highlights clinically relevant risk patterns, supporting enhanced monitoring in clinical use. It is crucial to emphasize that this disproportionality analysis is exploratory in nature and identifies potential associations, which do not establish causality and require confirmation through further dedicated studies.
Indexed as
Identifiers
What OpenQuestion holds
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.