Evidence map›Paper›PMID 42510455›Full record

ArticleBioengineering (Basel, Switzerland)2026

Post-Marketing Safety Profile of Mirikizumab: A Multi-Database Pharmacovigilance Study Using FAERS and JADER with IL-23 Inhibitor Class Comparison.

Jeong-Gyu Choi, Eun Jeong Gong, Chang Seok Bang, Jae Jun Lee

Abstract read
In one paragraph

Article in Bioengineering (Basel, Switzerland), 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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0citing papers 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

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Jeong-Gyu ChoiInstitute of New Frontier Research, Hallym University College of Medicine, Chuncheon 24253, Republic of Korea.
Eun Jeong GongInstitute of New Frontier Research, Hallym University College of Medicine, Chuncheon 24253, Republic of Korea.ORCID 0000-0003-3996-3472
Chang Seok BangInstitute of New Frontier Research, Hallym University College of Medicine, Chuncheon 24253, Republic of Korea.ORCID 0000-0003-4908-5431
Jae Jun LeeInstitute of New Frontier Research, Hallym University College of Medicine, Chuncheon 24253, Republic of Korea.

Funding

Hallym University Hallym University Research Fund
6 · The paper itself

Abstract

backgroundMirikizumab, a first-in-class interleukin-23p19 antagonist, was approved for ulcerative colitis (2023) and Crohn's disease (2025). The US Food and Drug Administration (FDA) identified a hepatotoxicity signal during pre-approval review, mandating post-marketing surveillance. No independent pharmacovigilance analysis has been published.

aimsTo characterise the post-marketing safety profile of mirikizumab using multi-database pharmacovigilance, with a focus on hepatotoxicity and IL-23 inhibitor class comparison.

methodsDisproportionality analysis of the FDA Adverse Event Reporting System (FAERS; Q4 2023-Q4 2025) and Japanese Adverse Drug Event Report database (JADER) was performed using four algorithms (reporting odds ratio, proportional reporting ratio, Bayesian confidence propagation neural network, empirical Bayesian geometric mean). Signals of disproportionate reporting were defined by concordance of all four methods. Active comparator analysis against risankizumab, guselkumab and ustekinumab, Weibull time-to-onset modelling and hepatotoxicity case characterisation were conducted. Reporting followed READUS-PV guidelines.

resultsWe identified 564 mirikizumab reports in FAERS and 123 in JADER. Nine signals met all four criteria in FAERS, including spontaneous abortion (Reporting odds ratio (ROR) 10.16, 95% CI 5.16-20.02), pulmonary embolism (ROR 5.56, 2.93-10.56) and injection site reactions. Hepatotoxicity showed no disproportionate reporting in either FAERS (ROR 1.19, 0.74-1.92; DISCUSSION: This first multi-database pharmacovigilance study of mirikizumab did not confirm the FDA-flagged hepatotoxicity signal. Potential signals warranting further investigation include thromboembolic events and pulmonary toxicity.

Indexed as

Crohn’s diseasedisproportionality analysishepatotoxicityIL-23 inhibitormirikizumabulcerative colitis

Identifiers

PMID42510455
PMCPMC13405810

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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.