Evidence map›Paper›PMID 41431624›Full record

ArticleVascular health and risk management2025

Burden, Trends, Risk Factors, and Forecast of Ischemic Heart Disease, Rheumatic Heart Disease, and Atrial Fibrillation and Flutter From 1990 to 2040: A Comparative Analysis of China, the United States, and Europe Based on the Global Burden of Disease Study and the Potential Impact of the COVID-19 Pandemic.

Yamin Chen, Dongmei Wang, Wei Fu, Chenghui Ma, Suxu Wang, Chao Sun, Luyao Wang, Linyi Wu, Jiawen Liang, Manqi Xu and 1 more

Abstract readComparative Study
In one paragraph

Article in Vascular health and risk management, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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

11 authors.

Yamin Chen *Department of Histology and Embryology, Hebei North University, Zhangjiakou, Hebei, 075000, People's Republic of China.
Dongmei Wang *Department of Histology and Embryology, Hebei North University, Zhangjiakou, Hebei, 075000, People's Republic of China.
Wei FuDepartment of Cardiovascular Medicine, CCU Ward, the Third Affiliated Hospital of Jinzhou Medical University, Jinzhou, Liaoning, 121000, People's Republic of China.
Chenghui MaDepartment of Geriatrics, The Fourth People's Hospital of Shenyang, Shenyang, Liaoning, 110031, People's Republic of China.
Suxu WangDepartment of Histology and Embryology, Hebei North University, Zhangjiakou, Hebei, 075000, People's Republic of China.
Chao SunDepartment of Histology and Embryology, Hebei North University, Zhangjiakou, Hebei, 075000, People's Republic of China.
Luyao WangDepartment of Histology and Embryology, Hebei North University, Zhangjiakou, Hebei, 075000, People's Republic of China.
Linyi WuDepartment of Histology and Embryology, Hebei North University, Zhangjiakou, Hebei, 075000, People's Republic of China.
Jiawen LiangDepartment of Histology and Embryology, Hebei North University, Zhangjiakou, Hebei, 075000, People's Republic of China.
Manqi XuDepartment of Histology and Embryology, Hebei North University, Zhangjiakou, Hebei, 075000, People's Republic of China.
Yulin ZouDepartment of Dermatology, Venereology and Allergology, University Medical Center Göttingen, Göttingen, Germany.ORCID 0000-0001-5747-3720

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Understanding the global burden of cardiovascular diseases is essential for developing effective preventive strategies and guiding policy measures worldwide. Despite significant advances in diagnosis and treatment, cardiovascular diseases remain the leading cause of morbidity and mortality across all regions. Assessing their temporal trends and regional disparities can provide valuable insights for optimizing resource allocation and improving global health outcomes. Methods: We used data from the Global Burden of Disease 2021 (GBD 2021) to analyze the incidence, prevalence, deaths, Years Lived with Disability (YLDs), Years of Life Lost (YLLs), and Disability-Adjusted Life Years (DALYs) of three major cardiovascular diseases-Atrial Fibrillation and Flutter (AFF), Ischemic Heart Disease (IHD), and Rheumatic Heart Disease (RHD)-globally and in the People's Republic of China, Europe, and the United States of America (USA). Comparative analyses and projections were performed through 2040. Results: Globally, age-standardized incidence rates (ASIRs, per 100,000 population) from 1990 to 2021 slightly declined for AFF (52.51 to 52.12) and IHD (419.54 to 372.9) but increased for RHD (44.87 to 50.74). In China and the USA, AFF incidence rose (42.63 to 44.92 and 75.22 to 89.18, respectively), and IHD incidence in China increased (315.31 to 365.67). RHD incidence declined across all three regions. Notably, AFF and IHD trends increased after 2019, potentially related to COVID-19. Conclusion: This study reveals distinct global and regional trends in the burden of AFF, IHD, and RHD from 1990 to 2021. The burden of AFF and IHD declined in most regions but showed a potential increase during the COVID-19 pandemic, while RHD continued to rise, particularly in low-SDI (Sociodemographic Index) countries. These findings provide valuable evidence to guide targeted prevention strategies and optimize resource allocation in global cardiovascular health policy.

Indexed as

Atrial FibrillationAtrial FlutterCOVID-19Myocardial IschemiaRheumatic Heart DiseaseAdultAgedChinaDisability-Adjusted Life YearsEuropeFemaleForecastingGlobal Burden of DiseaseHumansIncidenceMaleatrial fibrillationdisease burdenischemic heart diseaserheumatic heart disease

Identifiers

PMID41431624
PMCPMC12718513

What OpenQuestion holds

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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.