Evidence map›Paper›PMID 39842921›Full record

SynthesisBMJ open2025

Global comparison of the economic costs of coronary heart disease: a systematic review and meta-analysis.

Sangita Shakya, Anita Shrestha, Suzanne Robinson, Sean Randall, George Mnatzaganian, Helen Brown, James Boyd, Dan Xu, Crystal Man Ying Lee, Susan Brumby and 6 more

Abstract readSystematic ReviewMeta-AnalysisComparative Study
In one paragraph

Synthesis in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 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

18 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

16 authors.

Sangita ShakyaDeakin Health Economics, Institute for Health Transformation, Deakin University, Burwood Hwy, Burwood, Victoria, Australia sangita.shakya@deakin.edu.au.ORCID http://orcid.org/0000-0002-9963-7591
Anita ShresthaManmohan Memorial Institute of Health Sciences, Kathmandu, Nepal.ORCID http://orcid.org/0000-0001-6998-8211
Suzanne RobinsonDeakin Health Economics, Institute for Health Transformation, Deakin University, Burwood Hwy, Burwood, Victoria, Australia.ORCID http://orcid.org/0000-0001-5703-6475
Sean RandallDeakin Health Economics, Institute for Health Transformation, Deakin University, Burwood Hwy, Burwood, Victoria, Australia.ORCID http://orcid.org/0000-0002-2756-5090
George MnatzaganianLa Trobe Rural Health School, La Trobe University, Bendigo, Victoria, Australia.ORCID http://orcid.org/0000-0002-7698-5091
Helen BrownSchool of Excercise and Nutrition Sciences, Deakin University, Burwood, Victoria, Australia.
James BoydDepartment of Public Health, La Trobe University, Bundoora, Victoria, Australia.
Dan XuCurtin Medical School, Curtin University, Bentley, Western Australia, Australia.ORCID http://orcid.org/0000-0001-6649-1111
Crystal Man Ying LeeSchool of Population Health, Curtin University, Perth, Western Australia, Australia.
Susan BrumbyNational Centre for Farmer Health, School of Medicine, Deakin University, Geelong, Victoria, Australia.
Anna PeetersSchool of Health and Social Development, Faculty of Health, Institute for Health Transformation, Deakin University, Geelong, Victoria, Australia.
James LucasSchool of Health and Social Development, Faculty of Health, Deakin University, Geelong, Victoria, Australia.
Sarah GauciInstitute for Mental and Physical Health and Clinical Translation, Faculty of Health, Deakin University, Geelong, Victoria, Australia.
Rachel HuxleySchool of Health and Social Development, Faculty of Health, Institute for Health Transformation, Deakin University, Geelong, Victoria, Australia.
Adrienne O'NeilInstitute for Mental and Physical Health and Clinical Translation, Faculty of Health, Deakin University, Geelong, Victoria, Australia.
Lan GaoDeakin Health Economics, Institute for Health Transformation, Deakin University, Burwood Hwy, Burwood, Victoria, Australia.ORCID http://orcid.org/0000-0001-9734-1140

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesCoronary heart disease (CHD) is the leading cause of global morbidity and mortality, yet no comprehensive evaluation of its global economic costs exists. We conducted a systematic review with meta-analysis to examine the costs of CHD treatment by region and CHD subtypes, examine whether there are cost difference by sex, and examine costing methodologies.

designWe conducted a systematic review and meta-analysis of non-randomised studies. DATA SOURCES: We searched Medline, Embase, CINAHL, EconLit and Google Scholar from 1 January 2000 to February 2023. ELIGIBILITY CRITERIA FOR SELECTING STUDIES: We included observational studies reporting economic costs of CHD treatment and outcomes for adults that were published in English. DATA EXTRACTION AND SYNTHESIS: Data extraction and quality assessment were independently undertaken by two reviewers. Costs were converted to percentage of gross domestic product (GDP) per capita of corresponding country. A random-effects model was used for meta-analysis using StataSE V.18 to calculate the pooled percentage. Heterogeneity was assessed using the I

resultsOut of 20 100 records identified, 37 studies (including 2 564 189 individuals) from 22 countries were included in the qualitative synthesis and the quantitative meta-analysis. In most countries, the annual cost of CHD exceeds many times the total health expenditure per capita. The pooled direct annual cost of CHD per patient varied from 4.9% to 137.8% of GDP per capita (Int$ purchasing power parity), with pooled percentage of 21.7% (95% CI 15.3, 28.1) for those with CHD. Slight difference in the annual pooled cost of CHD was observed, with a 2% of GDP per capita higher cost in men (95% CI 0.8, 3.2). Most studies applied a top-down costing approach (n=21).

conclusionsThe review illustrates the expense associated with CHD, which is varied by region and CHD subtypes. The observed cost difference by sex warrants further exploration of sex-specific factors influencing cost disparities. Exploring advanced costing methods such as time-driven activity-based costing can optimise resource allocation and identify opportunities to reduce unnecessary costs and cost disparities. PROSPERO REGISTRATION NUMBER: CRD42023412044.

Indexed as

Coronary DiseaseGlobal HealthHealth Care CostsHumansCoronary heart diseaseHEALTH ECONOMICSMeta-AnalysisSystematic Review

Identifiers

PMID39842921
PMCPMC11784380

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

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.