ArticleFrontiers in medicine2025
Vonoprazan-related adverse events: a pharmacovigilance study based on the FDA adverse event reporting system.
Article in Frontiers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Adverse events associated with tirzepatide: a focus on subgroup-specific differences.BMC pharmacology & toxicology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study comprehensively evaluated the safety profile of Vonoprazan using data from the FDA Adverse Event Reporting System (FAERS) from the first quarter (Q1) of 2023 through the first quarter (Q1) of 2025. This analysis was restricted to real-world reports collected after the U. S. approval of vonoprazan, to better reflect its current clinical use pattern in the United States. Reports in which Vonoprazan was designated as the primary suspect(PS) drug were systematically extracted, and duplicate entries were removed using MySQL(version 8.0.42). Adverse events were coded in according tothe Medical Dictionary for Regulatory Activities (MedDRA, version 24.0). To detect potential safety signals, four disproportionality methods were applied: Reporting Odds Ratio (ROR), Proportional Reporting Ratio (PRR), Bayesian Confidence Propagation Neural Network (BCPNN), and Multi-Item Gamma Poisson Shrinker (MGPS). Differences between serious and non-serious adverse events were further examined using Pearson's chi-square test and Fisher's exact test. Temporal patterns of adverse event occurrence were evaluated using Time-to-Onset (TTO) analysis and Weibull Shape Parameter (WSP) modeling. In total, 978 vonoprazan-related cases were included; females accounted 62.0% of reports, and 34.3% of events were classified as serious. Forty seven preferred terms (PTs) met predefined signal criteria, and 16 of these, such as facial paralysis and cholecystitis, were not listed in the current U. S. FDA prescribing information for vonoprazan. Serious adverse events were more often associated with renal impairment and haematemesis, whereas non-serious events were predominantly gastrointestinal. Stratified analyses further revealed several potential high-risk signals, particularly inmale and elderly patients. The median time to onset was 7 days, and most events occurred within the first 30 days after treatment initiation. Weighted Survival Probability (WSP) analysis suggested an "early failure" pattern, and co-administration of aspirin and other acid-suppressing agents was common. In conclusion, this study provides a systematic characterization of Vonoprazan- associated adverse events and highlights several potential new safety signals that are not currently reflected in the drug's labeling, these findings should be interpreted as hypothesis-generating safety signals that may inform future prospective monitoring and clinician counseling.
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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 Socratic graph.