Evidence map›Paper›PMID 37173115›Full record

ArticleBMJ open2023

Global burden of cardiovascular disease attributable to metabolic risk factors, 1990-2019: an analysis of observational data from a 2019 Global Burden of Disease study.

Shuyi Wu, Wenlin Xu, Chengfu Guan, Meina Lv, Shaojun Jiang, Zhang Jinhua

Abstract read
In one paragraph

Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 4 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

31 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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  3. Digital versus nondigital behavioral interventions on cardiovascular risk reduction: systematic review and meta-analysis.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2025
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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

6 authors.

Shuyi WuDepartment of Pharmacy, Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China.
Wenlin XuDepartment of Pharmacy, Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China.
Chengfu GuanDepartment of Pharmacy, Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China.
Meina LvDepartment of Pharmacy, Fujian Medical University Union Hospital, Fuzhou, China.
Shaojun JiangDepartment of Pharmacy, First Affiliated Hospital of Fujian Medical University, Fuzhou, China.
Zhang JinhuaDepartment of Pharmacy, Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China pollyzhang2006@126.com.ORCID 0000-0002-5629-0348

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesAn up-to-date, detailed global analysis of the current status of the metabolic-attributed cardiovascular disease (CVD) burden has not been reported. Therefore, we investigated the global burden of metabolic-attributed CVD and its association with socioeconomic development status over the past 30 years.

methodsData on the burden of metabolic-attributed CVD were taken from the 2019 Global Burden of Disease (GBD) study. Metabolic risk factors of CVD included high fasting plasma glucose, high low-density lipoprotein cholesterol (LDL-c), high systolic blood pressure (SBP), high body mass index (BMI) and kidney dysfunction. Numbers and age-standardised rates (ASR) of disability-adjusted life-years (DALYs) and deaths were extracted and stratified by sex, age, Socio-demographic Index (SDI) level, country and region.

resultsThe ASR of metabolic-attributed CVD DALYs and deaths decreased by 28.0% (95% UI 23.8% to 32.5%) and 30.4% (95% UI 26.6% to 34.5%), respectively, from 1990 to 2019. The highest burden of metabolic-attributed total CVD and intracerebral haemorrhage was mainly in low SDI locations, while the highest burden of ischaemic heart disease and IS was mainly in high SDI locations. The burden of DALYs and deaths in CVD was higher in men than women. In addition, the number and ASR of DALYs and deaths were highest in those over 80 years old.

conclusionMetabolic-attributed CVD threatens public health, especially in low-SDI locations and among the elderly. Low SDI location should strengthen the control of metabolic factors such as high SBP, high BMI, and high LDL-c and increase the knowledge of metabolic risk factors for CVD. Countries and regions should enhance screening and prevention of metabolic risk factors of CVD in the elderly. Policy-makers should use 2019 GBD data to guide cost-effective interventions and resource allocation.

Indexed as

Cardiovascular DiseasesMetabolic DiseasesAgedAged, 80 and overCholesterol, LDLFemaleGlobal Burden of DiseaseGlobal HealthHumansMaleQuality-Adjusted Life YearsRisk FactorsCholesterol, LDLcardiac epidemiologyepidemiologyhealth policyischaemic heart disease

Identifiers

PMID37173115
PMCPMC10186407

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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.