Evidence map›Paper›PMID 40408459›Full record

ArticlePloS one2025

Real-world safety assessment of Ixekizumab based on the FDA Adverse Event Reporting System (FAERS).

Yuzhe Cheng, Jingyi Ma, Jun Niu

Abstract read
In one paragraph

Article in PloS one, 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
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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

3 authors.

Yuzhe ChengDepartment of Dermatology, General Hospital of Northern Theater Command, Shenyang, China.ORCID https://orcid.org/0009-0007-3209-7184
Jingyi MaDepartment of Dermatology, General Hospital of Northern Theater Command, Shenyang, China.
Jun NiuDepartment of Dermatology, General Hospital of Northern Theater Command, Shenyang, China.ORCID https://orcid.org/0000-0001-7371-917X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIxekizumab, a monoclonal antibody targeting IL-17A, is approved for psoriasis (PsO) and psoriatic arthritis (PsA). While clinical trials demonstrate its efficacy, real-world safety insights remain critical due to limitations in detecting rare or delayed adverse events (AEs).

methodsThis study analyzed 28,889 ixekizumab-associated AE reports from the first quarter of 2016 to the third quarter of 2024 in the FDA Adverse Event Reporting System (FAERS) using disproportionality methods (ROR, PRR, MGPS, BCPNN) and Weibull distribution modeling. Subgroup and sensitivity analyses were conducted to evaluate demographic variations and confounding factors.

resultsCommon AEs included injection site reaction, fungal infections, and upper respiratory infections. Novel signals included myocardial infarction, herpes zoster, and inflammatory bowel disease. Subgroup analyses revealed male-predominant cardiac risks and age-dependent patterns (pediatric injection reactions vs elderly herpes zoster). Median time-to-onset was 56 days (IQR:12-205), with early risk escalation (Weibull β = 0.60).

conclusionsThis FAERS analysis confirms ixekizumab's established safety profile while identifying critical demographic-specific and delayed-onset signals. Continuous pharmacovigilance is warranted to optimize risk management, particularly for cardiovascular monitoring in high-risk males and antiviral prophylaxis in elderly patients.

Indexed as

Adverse Drug Reaction Reporting SystemsAntibodies, Monoclonal, HumanizedAdolescentAdultAgedArthritis, PsoriaticChildFemaleHumansMaleMiddle AgedPsoriasisUnited StatesUnited States Food and Drug AdministrationYoung AdultAntibodies, Monoclonal, Humanizedixekizumab

Identifiers

PMID40408459
PMCPMC12101745

What OpenQuestion holds

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LicenceCC BY
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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.