Evidence map›Paper›PMID 39673328›Full record

ArticleJournal of the American Heart Association2024

Global, Regional, and National Burden of Valvular Heart Disease, 1990 to 2021.

Qin-Fen Chen, Shanzhen Shi, Yu-Fei Wang, Jingjing Shi, Chenyang Liu, Tiancheng Xu, Chao Ni, Xi Zhou, Weihong Lin, Yangdi Peng and 1 more

Abstract read
In one paragraph

Article in Journal of the American Heart Association, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 2 pooled it
–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

38 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  9. A Soft Robotic Model for Simulating Heart Valve Disease and Cardiac Interventions.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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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.

Qin-Fen ChenMedical Care Center The First Affiliated Hospital of Wenzhou Medical University Wenzhou Zhejiang China.ORCID 0000-0001-6596-5004
Shanzhen ShiDepartment of Cardiovascular Medicine, The Heart Center The First Affiliated Hospital of Wenzhou Medical University Wenzhou Zhejiang China.ORCID 0000-0002-3407-4126
Yu-Fei WangUniversity of Waterloo Waterloo Canada.
Jingjing ShiWenzhou Medical University Renji College Wenzhou China.
Chenyang LiuDepartment of Cardiovascular Medicine, The Heart Center The First Affiliated Hospital of Wenzhou Medical University Wenzhou Zhejiang China.ORCID 0009-0008-7874-5703
Tiancheng XuDepartment of Cardiology Ningbo No. 2 Hospital Wenzhou Zhejiang China.
Chao NiInstitute of Aging, Key Laboratory of Alzheimer's Disease of Zhejiang Province, Zhejiang Provincial Clinical Research Center for Mental Disorders, School of Mental Health and the Affiliated Kangning Hospital, Wenzhou Medical University Wenzhou Zhejiang China.
Xi ZhouDepartment of Cardiovascular Medicine, The Heart Center The First Affiliated Hospital of Wenzhou Medical University Wenzhou Zhejiang China.
Weihong LinMedical Care Center The First Affiliated Hospital of Wenzhou Medical University Wenzhou Zhejiang China.ORCID 0000-0003-1888-736X
Yangdi PengDepartment of Respiratory Medicine Yongjia County Traditional Chinese Medicine Hospital Wenzhou China.ORCID 0009-0007-7738-7580
Xiao-Dong ZhouDepartment of Cardiovascular Medicine, The Heart Center The First Affiliated Hospital of Wenzhou Medical University Wenzhou Zhejiang China.ORCID 0000-0002-8534-0818

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundValvular heart disease poses an escalating global health challenge with an increasing impact on mortality and disability. This study aims to comprehensively analyze the global burden of valvular heart disease. METHODS AND

resultsUsing the Global Burden of Disease 2021 data, we analyzed the prevalence and disability-adjusted life years, examining implications across demographics and geographic regions. In 2021, an estimated 54.8 million (95% uncertainty interval [UI], 43.3-67.6) cases of rheumatic heart disease, 13.3 million (95% UI, 11.4-15.2) cases of nonrheumatic calcific aortic valve disease (CAVD), and 15.5 million (95% UI, 14.5-16.7) cases of nonrheumatic degenerative mitral valve disease (DMVD) were reported globally. Despite the rising prevalence, disability-adjusted life years declined between 1991 and 2021. Among individuals aged 70 years or older, the age-standardized prevalences were 1803.6 per 100 000 (95% UI, 1535.5-2055.7) for CAVD and 2148.9 per 100 000 (95% UI, 2001.4-2310.1) for DMVD. Sub-Saharan Africa had the highest age-standardized prevalence for rheumatic heart disease; Conversely, high-income regions led in CAVD and DMVD prevalence. Rheumatic heart disease had the highest age-standardized prevalence of 1184.2 per 100 000 (95% UI, 932.4-1478.2) in low Socio-Demographic Index (SDI) regions, whereas CAVD peaked at 349.8 per 100 000 (95% UI, 303.6-395.8) in high SDI regions. The most substantial increases in age-standardized prevalences of CAVD from 1990 to 2021 occurred in the middle SDI and low-middle SDI regions. A parallel trend was noted for DMVD.

conclusionsRheumatic heart disease remains a significant burden in low SDI regions, whereas CAVD and DMVD pose challenges in high SDI regions with aging populations.

Indexed as

Heart Valve DiseasesAdolescentAdultAgedAged, 80 and overAge DistributionChildChild, PreschoolCost of IllnessDisability-Adjusted Life YearsFemaleGlobal Burden of DiseaseGlobal HealthHumansMaleMiddle AgedGlobal Burden of Disease Studynonrheumatic calcific aortic valve diseasenonrheumatic degenerative mitral valve diseaserheumatic heart diseasevalvular heart disease

Identifiers

PMID39673328
PMCPMC11935544

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.