Evidence map›Paper›PMID 41659115›Full record

ArticleReviews in cardiovascular medicine2026

Trend Dynamics of Rheumatic Heart Disease Burden, 1990-2019: Insights From Age-Period-Cohort Modeling and Projections.

Zizheng Liu, Zeye Liu, Ziping Li, Fengwen Zhang, Wenbin Ouyang, Shouzheng Wang, Shenqi Jing, Xiangbin Pan

Abstract read
In one paragraph

Article in Reviews in cardiovascular medicine, 2026. 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

8 authors.

Zizheng LiuDepartment of Structural Heart Disease, National Center for Cardiovascular Disease, China & Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, 100037 Beijing, China.ORCID https://orcid.org/0009-0005-4415-8576
Zeye LiuDepartment of Cardiac Surgery, Peking University People's Hospital, Peking University, 100037 Beijing, China.ORCID https://orcid.org/0009-0000-8607-5406
Ziping LiDepartment of Structural Heart Disease, National Center for Cardiovascular Disease, China & Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, 100037 Beijing, China.ORCID https://orcid.org/0009-0003-6147-6619
Fengwen ZhangDepartment of Structural Heart Disease, National Center for Cardiovascular Disease, China & Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, 100037 Beijing, China.ORCID https://orcid.org/0000-0002-6834-7081
Wenbin OuyangDepartment of Structural Heart Disease, National Center for Cardiovascular Disease, China & Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, 100037 Beijing, China.ORCID https://orcid.org/0000-0003-1928-1765
Shouzheng WangDepartment of Structural Heart Disease, National Center for Cardiovascular Disease, China & Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, 100037 Beijing, China.ORCID https://orcid.org/0000-0003-1856-7825
Shenqi JingJiangsu Clinical Medicine Research Institute, The First Affiliated Hospital with Nanjing Medical University, 210029 Nanjing, Jiangsu, China.ORCID https://orcid.org/0000-0003-3825-6047
Xiangbin PanDepartment of Structural Heart Disease, National Center for Cardiovascular Disease, China & Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, 100037 Beijing, China.ORCID https://orcid.org/0009-0006-0134-4157

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Rheumatic heart disease (RHD) is a global autoimmune disease that contributes significantly to cardiovascular mortality. However, a comprehensive investigation into age-specific mortality patterns across diverse regions remains limited. To address this issue, this study aimed to investigate alterations in RHD mortality and disease burden measured by disability-adjusted life years (DALY), and modifiable risk factors across 204 countries and regions during the preceding three decades. Additionally, this study endeavored to forecast the trends for RHD in the coming decade and to explore the associations with the age, period, and birth cohort by analyzing data from the Global Burden of Disease (GBD) 2019. Methods: We present up-to-date mortality and DALY data for RHD sourced from the GBD 2019 data. We employed the age-period-cohort (APC) model to assess local and net drift, as well as the influences of age, period, and birth cohort. Additionally, we examine modifiable risk factors and provide projections for RHD mortality trends in the coming decade. Results: Age-standardized mortality rates for RHD exhibited a net drift ranging from -5.59 (95% confidence interval (CI): -5.84 to -5.34) in high-middle sociodemographic index (SDI) regions, to -2.34 (95% CI: -2.42 to -2.25) in low SDI regions. Comparable trends were observed with DALY. High systolic blood pressure was the major metabolic risk factor in both 1990 and 2019. Projections indicate a global reduction in RHD mortality rates over the coming decade. Nevertheless, individuals in low-SDI regions are projected to bear a substantial mortality burden in both 2019 and 2029, accentuating a widening sex disparity. Conclusions: In summary, this study found that age, period, and birth cohort effects for RHD were positive globally, except for low SDI regions. The widening health disparities between regions indicate an imminent threat of significant disease burden. Thus, this study underscores the imperative requirement for targeted interventions, enhanced healthcare accessibility, and sex-sensitive strategies to alleviate the burden of death and disability associated with RHD, particularly in low SDI regions.

Indexed as

age–period–cohort analysisdisability-adjusted life yearsGlobal Burden of Disease Studymortalityrheumatic heart disease

Identifiers

PMID41659115
PMCPMC12873705

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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.