Evidence map›Paper›PMID 41602343›Full record

ArticleFrontiers in cardiovascular medicine2025

Global trends of cardiovascular disease burden attributable to high body mass index from 1990 to 2021 and projections to 2035.

Pingping Huang, Yikun Guo, Gaocan Ren, Lijun Guo, Yifei Wang, Yicheng Liu, Zhibo Zhang, Xiaochang Ma

Abstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Review
  2. 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

8 authors.

Pingping Huang *China Academy of Chinese Medical Sciences, Xiyuan Hospital, Beijing, China.
Yikun Guo *Department of Pulmonary, Beijing University of Chinese Medicine Shenzhen Hospital (Longgang), Shenzhen, China.
Gaocan RenChina Academy of Chinese Medical Sciences, Xiyuan Hospital, Beijing, China.
Lijun GuoNational Clinical Research Center for Chinese Medicine Cardiology, Beijing, China.
Yifei WangXiyuan Hospital, Beijing University of Chinese Medicine, Beijing, China.
Yicheng LiuChina Academy of Chinese Medical Sciences, Xiyuan Hospital, Beijing, China.
Zhibo ZhangXiyuan Hospital, Beijing University of Chinese Medicine, Beijing, China.
Xiaochang MaNational Clinical Research Center for Chinese Medicine Cardiology, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cardiovascular disease (CVD) remains the leading cause of mortality and disability globally, with high body mass index (HBMI) playing a pivotal role in its worldwide burden. Gaining a clear understanding and forecasting the effect of HBMI on CVD is crucial for developing effective health policies and interventions. Methods: We used data from the 2021 Global Burden of Disease study to analyze the CVD burden attributable to HBMI. An age-period-cohort (APC) analysis was conducted to investigate trends in CVD-related mortality attributable to HBMI, whereas the Bayesian Age-Period-Cohort (BAPC) model projected the number of deaths and mortality up to 2035. Results: The study revealed a significant increase in CVD deaths and disability-adjusted life years (DALYs) due to HBMI globally, despite slightly decreased age-standardized rates (ASR) for HBMI-related CVD. The ASR of deaths and DALYs decreased from 1990 to 2021 in the high and high-middle Socio-Demographic Index (SDI) regions while increasing in the lower SDI regions. A pinpoint analysis revealed the most significant decline in HBMI-related CVD mortality from 2003 to 2010. The BAPC model projected an increase in global HBMI-related CVD deaths to 2,369,451 by 2035. The ASR of deaths is projected to increase to 37.53 per 100,000, with an increase for females and a decrease for males. Conclusion: This study emphasizes global trends in HBMI-related CVD burden and the importance of targeting HBMI as a modifiable risk factor. It provides crucial information for public health strategies aimed at reducing CVD mortality. Further research is warranted, especially with an aging global population.

Indexed as

age–period–cohort studycardiovascular diseaseglobal burden of diseasehigh body mass indexSocio-Demographic Index

Identifiers

PMID41602343
PMCPMC12833974

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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.