Evidence map›Paper›PMID 40770014›Full record

ArticleScientific reports2025

Top 10 drugs most frequently associated with adverse events of myocarditis and pericarditis.

Jaehyeong Cho, Hyesu Jo, Jaeyu Park, Jeongseon Oh, Hyunjee Kim, Soeun Kim, Hayeon Lee, Yeona Jo, Jinyoung Jeong, Sooji Lee and 6 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

16 authors.

Jaehyeong Cho *Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea.
Hyesu Jo *Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea.
Jaeyu Park *Center 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.
Hyunjee KimCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea.
Soeun KimCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea.
Hayeon LeeCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea.
Yeona JoCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea.
Jinyoung JeongCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea.
Sooji LeeCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea.
Ho Geol WooDepartment of Medicine, Kyung Hee University College of Medicine, Seoul, South Korea.
Lee SmithCentre for Health, Performance and Wellbeing, Anglia Ruskin University, Cambridge, UK.
Guillermo F López SánchezDivision of Preventive Medicine and Public Health, Department of Public Health Sciences, School of Medicine, University of Murcia, Murcia, Spain.
Sang Youl RheeCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea.
Jee Myung YangDepartment of Ophthalmology, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Republic of Korea. jeemang87@gmail.com.
Dong Keon YonCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea. yonkkang@gmail.com.

Funding

Ministry of Health and Welfare of Korea RS-2024-00405141MSIT (Ministry of Science and ICT), South Korea, under the ITRC RS-2024-00438239National Research Foundation of Korea RS-2023-00248157National Research Foundation of Korea RS-2024-00441114
6 · The paper itself

Abstract

Myocarditis and pericarditis are managed with various treatments, yet prior studies and case reports indicate that certain drug classes may elevate the risk for these inflammatory cardiac conditions. This research aimed to systematically identify the leading drugs most frequently associated with myocarditis and pericarditis cases. Analyses were carried out using the global database of individual case safety reports from 1968 to 2024. We identified the drugs most frequently reported in signal detection with myocarditis and pericarditis, selecting the top 10 drugs based on record count, excluding those used in the treatment of inflammatory cardiac conditions to avoid potential confounding. Two statistical indicators, the information component (IC) with IC

Indexed as

Drug-Related Side Effects and Adverse ReactionsMyocarditisPericarditisAdverse Drug Reaction Reporting SystemsDatabases, FactualFemaleHumansMaleMyocarditisPericarditisPharmacovigilance

Identifiers

PMID40770014
PMCPMC12328665

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.