Evidence map›Paper›PMID 32448161›Full record

ArticleBMC cardiovascular disorders2020

Temporal and spatial trends of ischemic heart disease burden in Chinese and subgroup populations from 1990 to 2016: socio-economical data from the 2016 global burden of disease study.

Chenran Wang, Chunping Wang, Mi Liu, Zhe Chen, Shiwei Liu

Open access · goldAbstract readComparative Study
In one paragraph

Article in BMC cardiovascular disorders, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.3field-weighted citation impact, top 15% of its field
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

18 citing papers in PubMed, 26 citations in OpenAlex.

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  13. Plasma Proteomics to Identify Drug Targets for Ischemic Heart Disease.Journal of the American College of Cardiology · 2023
    Article
  14. Article
  15. Rhodiola rosea: A Therapeutic Candidate on Cardiovascular Diseases.Oxidative medicine and cellular longevity · 2022
    Review
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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

5 authors at 2 institutions in 1 country.

Chenran Wang"Health Shandong" Major Social Risk Prediction and Governance Collaborative Innovation Center, School of Public Health and Management, Weifang Medical University, No.7166 Baotong Xi Street, Weicheng District, Weifang, 261053, China.
Chunping Wang"Health Shandong" Major Social Risk Prediction and Governance Collaborative Innovation Center, School of Public Health and Management, Weifang Medical University, No.7166 Baotong Xi Street, Weicheng District, Weifang, 261053, China. chpwang@wfmc.edu.cn.ORCID 0000-0002-4202-126X
Mi Liu"Health Shandong" Major Social Risk Prediction and Governance Collaborative Innovation Center, School of Public Health and Management, Weifang Medical University, No.7166 Baotong Xi Street, Weicheng District, Weifang, 261053, China.
Zhe Chen"Health Shandong" Major Social Risk Prediction and Governance Collaborative Innovation Center, School of Public Health and Management, Weifang Medical University, No.7166 Baotong Xi Street, Weicheng District, Weifang, 261053, China.
Shiwei LiuChinese Center for Disease Control and Prevention, No.27 Nanwei Road, Xicheng District, Beijing, 100050, China. shiwei_liu@aliyun.com.
Weifang Medical University · CNChinese Center For Disease Control and Prevention · CN

Funding

CAMS Innovation Fund for Medical Sciences 2016-12M-3-001National Key R&D Program of China 2017YFC1310902National Natural Science Foundation of China 81872721
6 · The paper itself

Abstract

backgroundIschemic heart disease (IHD) is the leading cause of premature death which poses public health challenges worldwide. Previous studies focused on the overall population in China. However, variations in temporal and spatial patterns across subgroups remain unknown. This study was to analyze how the IHD burden among Chinese and subgroup populations changes in response to temporal and spatial trends from 1990 to 2016.

methodsBased on data from the updated estimate in the 2016 Global Burden of Disease (GBD) study, we used years lived with disability (YLDs), years of life lost (YLLs), and disability-adjusted life years (DALYs) to describe the IHD burden. The percentage and annual average percentage changes were applied to illustrate temporal and spatial variations of the IHD burden stratified by age, sex, and province, over the periods 1990-2016, 1990-2005, and 2005-2016. We estimate population-attributable fraction (PAF) for 24 modifiable risk factors at the provincial level in 2016.

resultsYLD rates, YLL rates, and DALY rates for IHD underwent a notable increase among all age groups and increased by 119.4, 83.3, and 84.5% nationally from 1990 to 2016. In YLD rates, a greater increase was seen in females (124.4%) compared to males (114.0%), while males experienced a more substantial increase than that in females in YLL rates (99.3% vs. 60.5%) and DALY rates (99.7% vs. 63.2%) from 1990 to 2016. Compared with 1990-2005, annual average changes in the overall population in YLL rates (3.5% vs. 1.8%) and DALY rates (3.5% vs. 1.9%) showed a tardier increase whereas an opposite increasing trend of YLD rates (3.5% vs. 4.0%) was observed between 2005 and 2016. Geographically, all provinces saw declines in the YLLs/YLDs ratio from 2005 to 2016, with seventeen of thirty-three provinces showing an upward trend between 1990 and 2005. Most provinces witnessed a remarkable upsurge in the age-standardised DALY rate from 1990 to 2016 whereas the economically advantaged region Macao (52.2%) saw the most marked reduction. High systolic blood pressure and high LDL cholesterol remained the two leading risk factors of IHD in all provinces in 2016. Diet high in sodium was the leading behavioral risks in twenty-eight provinces with smoking heading the list in five provinces.

conclusionsChina has made significant achievements in preventing premature death from IHD along with the increased risk of disability. Substantial disparities in temporal and spatial trends of the IHD burden emphasize concerns for elderly men and those in economically disadvantaged regions with resource constraints. Regional differences in the IHD burden can be partly explained by modifiable risk factors. By having identified these disparities, targeted IHD prevention and control strategies will help to bridge these gaps.

Indexed as

Health Status DisparitiesSocial Determinants of HealthSocioeconomic FactorsAge DistributionChinaFemaleHealth SurveysHumansMaleMyocardial IschemiaRisk FactorsSex DistributionTime FactorsBurden of diseaseChinaDisability-adjusted life yearsIschemic heart diseaseTemporal and spatial trend

Identifiers

PMID32448161
PMCPMC7247238
OpenAlexW3027740990

What OpenQuestion holds

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LicenceCC BY
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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.