Evidence mapPaperPMID 41394133Full record

ArticleFrontiers in pharmacology2025

Disproportionality analysis of taste disorders using the FDA adverse event reporting system and Japanese adverse drug event report databases.

Yoji Kyotani, Kiichi Nakahira, Masanori Yoshizumi

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Article in Frontiers in pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Yoji KyotaniDepartment of Pharmacology, Nara Medical University School of Medicine, Nara, Japan.
Kiichi NakahiraDepartment of Pharmacology, Nara Medical University School of Medicine, Nara, Japan.
Masanori YoshizumiDepartment of Pharmacology, Nara Medical University School of Medicine, Nara, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Taste disorders, which can diminish the quality of life and potentially affect drug treatment efficacy, are adverse events that may occur with the use of various medications; however, only a few studies have comprehensively examined this relationship. Spontaneous reporting system-based databases, such as the FDA Adverse Event Reporting System (FAERS) and Japanese Adverse Drug Event Report (JADER), are efficient sources of information for patients treated with drugs; however, analyses using this type of database have some limitations. To address these gaps in knowledge, we comprehensively analyzed the association between drugs and taste disorders using the FAERS and JADER databases. Methods: The reporting odds ratio (ROR) and Bayesian statistics (Bayesian Confidence Propagation Neural Network, BCPNN) from these databases were used to determine the association between drugs and taste disorders. Weibull distribution and logistic regression were used to investigate the time-to-onset characteristics and odds ratios adjusted for age and sex, respectively, for taste disorders, using data from the FAERS database. Results and discussion: Of the 130 drugs for which a signal was detected in both ROR and BCPNN in the FAERS database, 14 had similar signals in the JADER database. Onset time and logistic regression analyses were performed using the FAERS database to characterize drug-induced taste disorders. The median onset time was the same day of administration for nirmatrelvir/ritonavir and clarithromycin; otherwise, it varied among the other drugs. The hazard for clarithromycin remained constant throughout administration, while the hazards for the other drugs decreased over time. Logistic regression analysis confirmed significant associations between the drugs and taste disorders, even after adjusting for age and sex. Overall, these results indicate that certain drugs may be involved in taste disorders, which, depending on their characteristics, warrants further caution and attention. The findings of this study may help healthcare providers recognize drug-induced taste disorders that can lead to a reduced quality of life and noncompliance with medication.

Indexed as

adverse eventdrug efficacydysgeusiaFDA adverse event reporting system (FAERS)Japanese AdverseDrug event report (JADER)taste disorder

Identifiers

PMID41394133
PMCPMC12695858

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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 Socratic graph.