Evidence map›Paper›PMID 40356829›Full record

ArticleFrontiers in public health2025

Global, regional, and national burden of myocarditis and its attributable risk factors in 204 countries and territories from 1990 to 2021: updated systematic analysis.

Jiajia Ren, Wanyuan Liu, Xuting Jin, Chuchu Zhang, Xi Xu, Guorong Deng, Xiaoming Gao, Jiamei Li, Ruohan Li, Xiaoling Zhang and 2 more

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Observational
  3. Review
  4. Hyperbaric Oxygen Therapy in Experimental Autoimmune Myocarditis: Insights from Preclinical Models to Translational Perspectives.Pathophysiology : the official journal of the International Society for Pathophysiology · 2026
    Review
  5. Article
  6. Review
  7. 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

12 authors.

Jiajia Ren *Department of Critical Care Medicine, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Wanyuan Liu *Department of Critical Care Medicine, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Xuting JinDepartment of Critical Care Medicine, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Chuchu ZhangDepartment of Critical Care Medicine, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Xi XuDepartment of Critical Care Medicine, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Guorong DengDepartment of Critical Care Medicine, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Xiaoming GaoDepartment of Critical Care Medicine, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Jiamei LiDepartment of Critical Care Medicine, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Ruohan LiDepartment of Critical Care Medicine, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Xiaoling ZhangDepartment of Critical Care Medicine, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Yanli HouDepartment of Critical Care Medicine, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Gang WangDepartment of Critical Care Medicine, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Comprehending the current epidemiological trends and risk factors of myocarditis is crucial for guiding future targeted prevention and treatment strategies. Methods: Utilizing data from the Global Burden of Diseases, Injuries, and Risk Factors Study 2021, we conducted a secondary analysis of the incidence, prevalence, death, and disability-adjusted life years (DALYs) of myocarditis by sex, age group and socio-demographic index (SDI) across 204 countries and territories from 1990 to 2021. And non-optimal temperatures, defined as same-day exposure to ambient temperatures deviating from the minimum death risk threshold, were identified as risk-factors for myocarditis-related death and DALYs. Results: From 1990 to 2021, the global prevalence of myocarditis increased from 320,623 (95% uncertainty interval: 268,557 to 371,912) to 505,030 (432,295 to 587,819). Concurrently, the age-standardized prevalence rate (ASPR) per 100,000 people also saw a slight increase (no statistical significance) from 6.35 (5.37 to 7.36) to 6.41 (5.48 to 7.44). However, the age-standardized incidence rate (ASIR), age-standardized death rate (ASDR) and age-standardized DALY rate (ASYR) exhibited declines, with estimated annual percentage changes of -0.20 (-0.23 to -0.17), -1.37 (-1.81 to -0.92) and -1.71 (-1.95 to -1.46), respectively. SDI quintile analysis showed that the high SDI quintile had the highest ASIR and ASPR, while the middle and high-middle SDI quintiles exhibited the highest ASDR and ASYR. Furthermore, the burden of myocarditis was notably high among males and older adult populations. Non-optimal temperature, particularly low temperature, emerged as a key risk factor for myocarditis-related ASDR and ASYR. Conclusion: Although the ASIR, ASDR and ASYR for myocarditis exhibited decreasing trends from 1990 to 2019, further efforts are needed to develop targeted public health strategies, especially for low SDI regions, males, and older adult populations.

Indexed as

Global Burden of DiseaseGlobal HealthMyocarditisAdolescentAdultAgedChildChild, PreschoolDisability-Adjusted Life YearsFemaleHumansIncidenceInfantMaleMiddle AgedPrevalencedeathdisability-adjusted life yearsGlobal Burden of Diseaseincidencemyocarditisprevalence

Identifiers

PMID40356829
PMCPMC12066271

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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.