ArticleFrontiers in pharmacology2025
Pharmacovigilance study on old drugs repurposed for rare diseases across different indications: the case of fenfluramine.
Article in Frontiers in pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: As an old drug with a new application in rare diseases with epileptic symptoms, fenfluramine may have potential unrecognized adverse events. Because limited real-world data exist on Lennox-Gastaut syndrome (LGS) and Dravet syndrome (DS) populations, some rare adverse events (AEs) are easily overlooked. The purpose of this study was to comprehensively evaluate the characteristics of adverse events of fenfluramine. Methods: The data were extracted from the Food and Drug Administration (FDA) Adverse Event Reporting System (FAERS) database from the third quarter of 2020 to the fourth quarter of 2024 for data cleaning and analysis. To ensure the accuracy and reliability of the study, adverse events of fenfluramine were analyzed using the Reporting Odds Ratio (ROR), Bayesian Confidence Propagation Neural Network (BCPNN), Proportional Reporting Ratio (PRR), and Multi-Item Gamma Poisson Shrinker (MGPS) methods. Results: Following data deduplication and screening, a total of 9,868 fenfluramine-related adverse event reports were included in this study. The analysis showed that fenfluramine-induced AEs occurred across 24 system organ classes (SOCs). In addition to the typical side effects such as seizure, somnolence, lethargy, status epilepticus, balance disorder and sedation, it is important to pay attention to emerging risks such as pericardial effusion, crying, pneumonia, oxygen saturation decreased, muscle twitching, insomnia, aggression, agitation, mood swings, urinary retention and aortic dilatation. It is notable that aortic valve incompetence and epilepsy are more likely to occur in males and females are more prone to encountering nervous system adverse reactions after fenfluramine treatment. LGS had higher risk after fenfluramine treatment in mitral valve incompetence, constipation, urinary tract infection, fall, lethargy and atonic seizures, while DS had higher risk in pyrexia, illness, nasopharyngitis, influenza, decreased appetite, seizure, generalized tonic-clonic seizure, status epilepticus, myoclonic epilepsy, aggression. Conclusion: This study provided valuable evidence on the real-world safety of fenfluramine, suggesting that clinicians should place greater emphasis on monitoring its adverse effects during use. Medical staff should pay more attention to cardiac AEs on LGS patients and nervous system AEs on DS patients throughout the entire duration of fenfluramine treatment.
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.