Identification of potential drug-induced neuralgia signals through disproportionality analysis of the FAERS database
Yating An, Ying Zheng, Ziwei Jiang, Meng Meng, Jintuo Yin, Yahui An

TL;DR
This study uses FAERS data to find drugs linked to drug-induced neuralgia, emphasizing the need for safer prescribing and further research.
Contribution
The study identifies specific drugs and mechanisms associated with drug-induced neuralgia using disproportionality analysis of FAERS data.
Findings
Lenalidomide showed the strongest association with neuralgia, followed by sodium citrate.
Chemotherapeutics, antibiotics, and immunosuppressants were significantly linked to neuralgia.
Neurotoxicity, immune mechanisms, and metabolic disruptions are potential causes of drug-induced neuralgia.
Abstract
Drug-induced neuralgia is a common and significant adverse reaction. This study analyzed the United States food and drug administration adverse event reporting system (FAERS) database (2004–2024) to identify relevant drugs and potential mechanisms. We conducted an association analysis between drugs and neuralgia using the FAERS database. Disproportionality analysis methods, including the reporting odds ratio (ROR), proportional reporting ratio (PRR), Bayesian confidence propagation neural network (BCPNN), and empirical Bayesian geometric mean (EBGM), were applied. Data from 2004 to 2024 were analyzed to identify drugs potentially associated with neuralgia. Among the 103,678 reports of neuralgia-related adverse events, 60.29% involved female patients, and 30.40% were aged between 41 and 64 years. The most common underlying medical conditions were plasma cell myeloma (14.28%) and…
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Taxonomy
TopicsPharmacovigilance and Adverse Drug Reactions · Pharmacological Effects and Toxicity Studies · Plant-based Medicinal Research
