Evidence map›Paper›PMID 42873988›Full record

ArticleHuman vaccines & immunotherapeutics2026

Safety signals of tocilizumab in pediatric patients: A real-world pharmacovigilance analysis based on the FAERS database with network pharmacology insights.

Gang Wu, Xueqing Ma, Bin Zhu, Ben Liu

Abstract read
In one paragraph

Article in Human vaccines & immunotherapeutics, 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

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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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3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

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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.

Gang WuDepartment of Pediatrics, Yancheng Maternal and Child Health Care Hospital Affiliated to Yangzhou University, Yancheng, China.
Xueqing MaDepartment of Dermatology, Yancheng Maternal and Child Health Care Hospital Affiliated to Yangzhou University, Yancheng, China.
Bin ZhuDepartment of General Surgery, Yancheng First Hospital, Affiliated Hospital of Nanjing University Medical School, Yancheng, China.
Ben LiuPediatric Intensive Care Unit, Yancheng First Hospital, Affiliated Hospital of Nanjing University Medical School, Yancheng, China.ORCID 0000-0002-0574-2455

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tocilizumab, a humanized monoclonal antibody targeting the interleukin-6 receptor, is widely used in immune-mediated diseases, yet its real-world safety in pediatric populations remains insufficiently characterized. This retrospective pharmacovigilance study analyzed adverse event (AE) reports from the U.S. Food and Drug Administration Adverse Event Reporting System (FAERS) database (2010-2025), focusing on pediatric cases where tocilizumab was the primary suspect drug. After data cleaning, 1,485 reports were included. Four classical disproportionality methods - reporting odds ratio (ROR), proportional reporting ratio (PRR), Bayesian confidence propagation neural network (BCPNN), and multiple gamma Poisson shrinker (MGPS) - were used to identify safety signals. Time-to-onset, stratified, and Weibull analyses were applied to characterize adverse event patterns, and network pharmacology was used to explore potential underlying mechanisms. Females accounted for 58.9% of reports, and adolescents aged 12-17 years represented the largest group. A total of 109 safety signals were identified. The most frequently reported AEs included juvenile idiopathic arthritis (ROR = 28.62, 95% CI: 24.30-33.72), haemophagocytic lymphohistiocytosis (ROR = 15.83, 95% CI: 13.18-19.02), and decreased white blood cell count (ROR = 12.14, 95% CI: 9.90-14.88). Potential unlisted AEs, such as sudden hearing loss (ROR = 48.11, 95% CI: 16.74-138.26) and psoriasis (ROR = 11.44, 95% CI: 8.81-14.85), were also detected. Most AEs occurred within 30 days, with a median onset of 14 days, and showed an early failure pattern. Network pharmacology suggested psoriasis may involve JAK-STAT and Th17/Th1 pathways, though further validation is needed. Overall, this study provides real-world evidence to support improved safety monitoring in pediatric patients.

Indexed as

Adverse Drug Reaction Reporting SystemsAntibodies, Monoclonal, HumanizedDrug-Related Side Effects and Adverse ReactionsPharmacovigilanceAdolescentChildChild, PreschoolDatabases, FactualFemaleHumansInfantMaleNetwork PharmacologyRetrospective StudiesUnited StatesUnited States Food and Drug AdministrationAntibodies, Monoclonal, HumanizedtocilizumabAdverse drug reactionsFAERSnetwork pharmacologypediatricstocilizumab

Identifiers

PMID42873988
PMCPMC13671453

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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.