Evidence map›Paper›PMID 40734231›Full record

ArticleClinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology2025

Global Burden of Drug-Induced Anaphylaxis Associated With 33 Classes of Antibiotics (1968-2024): A Pharmacovigilance Analysis.

Jaehyeong Cho, Jeongseon Oh, Jaeyu Park, Hyesu Jo, Tae Hyeon Kim, Hyunjee Kim, Yesol Yim, Seoyoung Park, Kyeongeun Kim, Ho Geol Woo and 4 more

Abstract read
In one paragraph

Article in Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology, 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. Global Burden of Drug-Induced Anaphylaxis Associated With 33 Classes of Antibiotics (1968-2024): A Pharmacovigilance Analysis.Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology · 2025
    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

14 authors.

Jaehyeong ChoCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea.
Jeongseon OhCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea.
Jaeyu ParkCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea.ORCID https://orcid.org/0009-0005-2009-386X
Hyesu JoCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea.ORCID https://orcid.org/0009-0004-1895-300X
Tae Hyeon KimCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea.
Hyunjee KimCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea.
Yesol YimCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea.
Seoyoung ParkCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea.
Kyeongeun KimCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea.ORCID https://orcid.org/0009-0001-1145-680X
Ho Geol WooDepartment of Medicine, Kyung Hee University College of Medicine, Seoul, South Korea.
Yerin HwangCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea.ORCID https://orcid.org/0000-0002-9705-8190
Michael MiligkosAllergy Department, 2nd Pediatric Clinic, National and Kapodistrian University of Athens, Athens, Greece.ORCID https://orcid.org/0000-0001-8021-2780
Dong Keon YonCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea.ORCID https://orcid.org/0000-0003-1628-9948
Nikolaos G PapadopoulosAllergy Department, 2nd Pediatric Clinic, National and Kapodistrian University of Athens, Athens, Greece.

Funding

MSIT (Ministry of Science and ICT), Korea, under the ITRC (Information Technology Research Centre) RS-2024-00438239National Research Foundation of Korea RS-2023-00248157
6 · The paper itself

Abstract

backgroundDespite antibiotic-induced anaphylaxis being a severe allergic reaction requiring immediate care, large-scale studies examining all antibiotic subtypes remain limited. This study addresses this gap by analysing 33 antibiotic classes, along with epidemiological and regional variations.

methodsThis study utilised the world's largest pharmacovigilance database, with over 35 million individual case safety reports from 140 countries. The study employed a two-step approach: first, the antibiotics were grouped into 10 categories according to their third-level ATC codes and their frequencies were collectively analysed. These categories comprised tetracyclines (J01A), amphenicols (J01B), beta-lactam antibacterial penicillins (J01C), other beta-lactam antibacterials (J01D), sulfonamides and trimethoprim (J01E), macrolides, lincosamides and streptogramins (J01F), aminoglycoside antibacterials (J01G), quinolone antibacterials (J01M), combinations of antibacterials (J01R) and other antibacterials (J01X). Second, a more detailed analysis was performed at the fourth level of the ATC codes for the antibiotics categorised at the third level, focusing on 33 individual antibiotics. For statistical analysis, disproportionality metrics, including the information component (IC) with IC

resultsA total of 144,820 reports were identified as antibiotic-induced anaphylaxis. All antibiotics showed significant signal detection for anaphylaxis (ROR, 20.50 [95% CI, 20.37-20.63]; IC, 3.77 [IC

conclusionAlthough our findings do not permit causal inference, the analysis highlights the need for standardised grading systems, patient-specific risk factors and long-term outcome studies to improve prevention and management.

Indexed as

AnaphylaxisAnti-Bacterial AgentsPharmacovigilanceAdolescentAdultAdverse Drug Reaction Reporting SystemsAgedChildChild, PreschoolDatabases, FactualFemaleGlobal Burden of DiseaseHumansInfantMaleMiddle AgedAnti-Bacterial Agentsallergyanaphylaxisantibioticspharmacovigilance

Identifiers

PMID40734231
PMCPMC12740533

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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.