Evidence map›Paper›PMID 40206093›Full record

ArticleFrontiers in pharmacology2025

Drug-induced herpes zoster: a pharmacovigilance analysis of FDA adverse event reports from 2004 to 2024.

Jiali Xia, Jing Zhang, Hongyu Zhu, Li Ding

Abstract read
In one paragraph

Article in Frontiers in pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Jiali XiaDepartment of Dermatology, The Affiliated Xuzhou Municipal Hospital of Xuzhou Medical University, Xuzhou, China.
Jing ZhangDepartment of Critical Care Medicine, The Affiliated Xuzhou Municipal Hospital of Xuzhou Medical University, Xuzhou, China.
Hongyu ZhuCentral Laboratory, The Affiliated Xuzhou Municipal Hospital of Xuzhou Medical University, Xuzhou, China.
Li DingDepartment of Dermatology, The Affiliated Xuzhou Municipal Hospital of Xuzhou Medical University, Xuzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Herpes zoster severely impacts patients' quality of life and therapeutic results. This research utilized data from the FDA Adverse Event Reporting System (FAERS) to examine the prevalence and attributes of drug-induced herpes zoster. Methods: We analyzed FAERS reports about zoster from Q1 2004 to Q3 2024 and developed a list of possible pathogenic agents. Ranked the 30 medicines with the greatest incidence of reported herpes zoster cases. Statistical disproportionality analysis was employed to identify an elevated reporting frequency of herpes zoster linked to a particular medication. Results: Herpes zoster was referenced in 50,164 FAERS reports from 2004 to 2024. The majority of the implicated drugs were immunosuppressants. Anifrolumab exhibited the greatest ROR and PRR ratings among the drugs evaluated. Furthermore, rozanolixizumab, tozinameran, elapegademase, and other medications not indicated for inducing herpes zoster were recognized, underscoring the necessity for increased clinical vigilance and awareness. Nonetheless, these correlations should be regarded with caution, as they do not establish a direct causative relationship. Conclusion: This study underscores the need of pharmacovigilance in recognizing and comprehending drug-induced herpes zoster. Additional research is required to validate these findings and to design strategies for risk management and reduction to enhance treatment outcomes in patients.

Indexed as

adverse eventsFAERSherpes zosterpharmacovigilancereal-world data analysis

Identifiers

PMID40206093
PMCPMC11979123

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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.