Evidence mapPaperPMID 42483186Full record

ArticleFrontiers in immunology2026

Drug-associated inflammatory bowel disease: a real-world pharmacovigilance study using the FAERS and JADER databases.

Yuou Ying, Mengyuan Shen, Jinhan Chen, Tongfei Feng, Zejiong Li, Zhekai Ying, Dongdong Yang, Ruyi Ju, Jiannong Wu

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Article in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Yuou Ying *The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, China.
Mengyuan Shen *The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, China.
Jinhan Chen *The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, China.
Tongfei FengThe First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, China.
Zejiong LiThe First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, China.
Zhekai YingThe First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, China.
Dongdong YangThe First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, China.
Ruyi JuHangzhou Third People's Hospital, Hangzhou Third Hospital Affiliated to Zhejiang Chinese Medical University, Hangzhou, China.
Jiannong WuDepartment of Intensive Care Unit, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Although several medications have been linked to inflammatory bowel disease (IBD), the association between most drugs and IBD remains unclear. This study aimed to identify medications most frequently reported in connection with IBD by analyzing large-scale data from the U.S. Food and Drug Administration Adverse Event Reporting System (FAERS) and the Japan Adverse Drug Event Report (JADER) database. Methods: We extracted reports of drug-associated IBD adverse events from FAERS and performed external validation using JADER. Disproportionality analyses of suspected drugs were conducted using four methods: Reporting Odds Ratio (ROR), Proportional Reporting Ratio (PRR), Bayesian Confidence Propagation Neural Network (BCPNN), and Multi-Item Gamma Poisson Shrinker (MGPS). Additional analyses included time-to-onset (TTO) assessment, Weibull distribution modeling, and subgroup analyses by age, sex, and IBD subtype to evaluate signal stability and clinical characteristics. Results: The FAERS database yielded 52,395 reports of drug-associated IBD, corresponding to 50,426 patients.Females accounted for a higher proportion of reports than males, with the majority of cases occurring in individuals aged 18-64 years. The annual number of reports showed an overall upward trend. Among drugs reported at least 50 times, 17 met all four algorithmic threshold criteria and were classified as positive signals. Anti-tumor necrosis factor-alpha (anti-TNF-α) inhibitors ranked highest by reporting frequency, whereas isotretinoin demonstrated the strongest signal intensity. External validation using JADER confirmed consistent signals for certain anti-TNF-α inhibitors, anti-interleukin biologic agents, conventional immunosuppressants, and antibiotics. Time-to-onset analysis revealed that the median onset of IBD occurred within one year for most drug-associated cases. The Weibull model indicated an "early failure-type" onset pattern for the majority of positive signals. Conclusion: From a pharmacovigilance perspective, this study provides a comprehensive overview of medications associated with IBD, offering clinically relevant insights. Our findings deliver real-world evidence to support the identification and monitoring of drug-associated IBD; however, confirmation in large prospective cohort studies remains necessary.

Indexed as

Adverse Drug Reaction Reporting SystemsDrug-Related Side Effects and Adverse ReactionsInflammatory Bowel DiseasesPharmacovigilanceAdolescentAdultAgedBayes TheoremChildDatabases, FactualFemaleHumansJapanMaleMiddle AgedUnited Statesadverse eventsFAERSinflammatory bowel diseaseJADERpharmacovigilance

Identifiers

PMID42483186
PMCPMC13385622

What Socratic holds

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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.