Evidence map›Paper›PMID 41140664›Full record

ArticleFrontiers in medicine2025

A real-world data analysis of piroxicam in the FDA Adverse Event Reporting System (FAERS) database.

Yanhe Wang, Qiuhong Kong

Abstract read
In one paragraph

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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Yanhe WangDepartment of Orthopedics and Traumatology, Tai'an Traditional Chinese Medicine Hospital, Tai'an, Shandong, China.
Qiuhong KongDepartment of Emergency, Jinan Central Hospital, Jinan, Shandong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Piroxicam is a widely used antipyretic and analgesic. Due to an increasing number of adverse event (AE) reports, effective pharmacovigilance is essential for evaluating its benefit-risk profile. Methods: We assessed the safety profile of piroxicam through disproportionality analysis based on all AE reports involving the drug in the FDA Adverse Event Reporting System (FAERS) from 2004 till 2024. Signal detection was performed using the reporting odds ratio, proportional reporting ratio, multi-item gamma Poisson shrinker, and Bayesian confidence propagation neural network methods. The Weibull distribution was applied to model time-to-onset of AEs. Analyses were stratified by age and sex, and subgroup patterns were examined. AE outcomes were categorized accordingly. Results: Our findings confirmed known label-reported AEs, such as hypersensitivity, urticaria, gastric ulcers, and gastrointestinal hemorrhage. Additionally, several potentially less well-known AEs were identified, such as acute generalized exanthematous pustulosis, blister formation, and urinary retention. Subgroup analyses revealed significant variations in AE patterns across different age groups and sexes. The majority of AEs occurred during the early stages of treatment, highlighting the importance of vigilant monitoring of AEs especially during initial dosing. Conclusion: This real-world study reinforces established safety concerns related to piroxicam while identifying potentially less well-known safety signals. These findings offer valuable insights for clinicians aiming to optimize patient safety during piroxicam therapy.

Indexed as

adverse eventdisproportionality analysisFAERSpiroxicamreal-world safety

Identifiers

PMID41140664
PMCPMC12549246

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Registered trials

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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 OpenQuestion graph.