Evidence map›Paper›PMID 33017008›Full record

ArticleEuropean heart journal. Quality of care & clinical outcomes2022

Global, regional, and national burden of ischaemic heart disease and its attributable risk factors, 1990-2017: results from the Global Burden of Disease Study 2017.

Haijiang Dai, Arsalan Abu Much, Elad Maor, Elad Asher, Arwa Younis, Yawen Xu, Yao Lu, Xinyao Liu, Jingxian Shu, Nicola Luigi Bragazzi

Open access · greenAbstract read
In one paragraph

Article in European heart journal. Quality of care & clinical outcomes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 169 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
169citing papers in PubMed, 3 pooled it
26.4field-weighted citation impact, top 1% 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

169 citing papers in PubMed, 3 syntheses or guidelines pooled it, 308 citations in OpenAlex.

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109 more citing papers are in PubMed but not listed here.

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

10 authors at 5 institutions in 4 countries.

Haijiang DaiCentre for Disease Modelling, Department of Mathematics and Statistics, York University, 4700 Keele Street, Toronto, ON M3J 1P3, Canada.ORCID 0000-0002-5595-8000
Arsalan Abu MuchLeviev Heart Center, Sheba Medical Center, Tel HaShomer, Israel.
Elad MaorLeviev Heart Center, Sheba Medical Center, Tel HaShomer, Israel.
Elad AsherLeviev Heart Center, Sheba Medical Center, Tel HaShomer, Israel.
Arwa YounisClinical Cardiovascular Research Center, University of Rochester Medical Center, 265 Crittenden Boulevard, Rochester, NY 14620, USA.
Yawen XuCentre for Disease Modelling, Department of Mathematics and Statistics, York University, 4700 Keele Street, Toronto, ON M3J 1P3, Canada.
Yao LuDepartment of Cardiology, The Third Xiangya Hospital, Central South University, 138 Tongzipo Road, Changsha 410013, China.
Xinyao LiuDepartment of Cardiology, The Third Xiangya Hospital, Central South University, 138 Tongzipo Road, Changsha 410013, China.
Jingxian ShuDepartment of Pharmacy, The Fifth Affiliated Hospital, Sun Yat-sen University, 52 Mei Hua East Road, Zhuhai 519000, China.
Nicola Luigi BragazziCentre for Disease Modelling, Department of Mathematics and Statistics, York University, 4700 Keele Street, Toronto, ON M3J 1P3, Canada.ORCID 0000-0001-8409-868X
Central South University · CNTel Aviv University · ILYork University · CASun Yat-sen University · CNUniversity of Rochester Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsThe aim of this study was to estimate the burden and risk factors for ischaemic heart disease (IHD) in 195 countries and territories from 1990 to 2017. METHODS AND

resultsData from the Global Burden of Disease Study 2017 were used. Prevalence, incidence, deaths, years lived with disability (YLDs), and years of life lost (YLLs) were metrics used to measure IHD burden. Population attributable fraction was used to estimate the proportion of IHD deaths attributable to potentially modifiable risk factors. Globally, in 2017, 126.5 million [95% uncertainty interval (UI) 118.6 to 134.7] people lived with IHD and 10.6 million (95% UI 9.6 to 11.8) new IHD cases occurred, resulting in 8.9 million (95% UI 8.8 to 9.1) deaths, 5.3 million (95% UI 3.7 to 7.2) YLDs, and 165.0 million (95% UI 162.2 to 168.6) YLLs. Between 1990 and 2017, despite the decrease in age-standardized rates, the global numbers of these burden metrics of IHD have significantly increased. The burden of IHD in 2017 and its temporal trends from 1990 to 2017 varied widely by geographic location. Among all potentially modifiable risk factors, age-standardized IHD deaths worldwide were primarily attributable to dietary risks, high systolic blood pressure, high LDL cholesterol, high fasting plasma glucose, tobacco use, and high body mass index in 2017.

conclusionOur results suggested that IHD remains a major public health challenge worldwide. More effective and targeted strategies aimed at implementing cost-effective interventions and addressing modifiable risk factors are urgently needed, particularly in geographies with high or increasing burden.

Indexed as

Global Burden of DiseaseMyocardial IschemiaHumansIncidenceQuality-Adjusted Life YearsRisk FactorsEpidemiologyGlobal heathIschaemic heart diseaseRisk factor

Identifiers

PMID33017008
PMCPMC8728029
OpenAlexW3091403751

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.