Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 532

The DOI matches its Crossref record; 42 of the 42 references it cites were found in a registry or an index.

The economic burden of cardiovascular disease and hypertension in low- and middle-income countries: a systematic review

Open access
Gheorghe, Adrian, Griffiths, Ulla, Murphy, Adrianna, Legido-Quigley, Helena, Lamptey, Peter, Perel, Pablo·2018·BMC Public Health

Abstract

BACKGROUND: The evidence on the economic burden of cardiovascular disease (CVD) in low- and middle- income countries (LMICs) remains scarce. We conducted a comprehensive systematic review to establish the magnitude and knowledge gaps in relation to the economic burden of CVD and hypertension on households, health systems and the society. METHODS: We included studies using primary or secondary data to produce original economic estimates of the impact of CVD. We searched sixteen electronic databases from 1990 onwards without language restrictions. We appraised the quality of included studies using a seven-question assessment tool. RESULTS: Eighty-three studies met the inclusion criteria, most of which were single centre retrospective cost studies conducted in secondary care settings. Studies in China, Brazil, India and Mexico contributed together 50% of the total number of economic estimates identified. The quality of the included studies was generally low. Reporting transparency, particularly for cost data sources and results, was poor. The costs per episode for hypertension and generic CVD were fairly homogeneous across studies; ranging between $500 and $1500. In contrast, for coronary heart disease (CHD) and stroke cost estimates were generally higher and more heterogeneous, with several estimates in excess of $5000 per episode. The economic perspective and scope of the study appeared to impact cost estimates for hypertension and generic CVD considerably less than estimates for stroke and CHD. Most studies reported monthly costs for hypertension treatment around $22. Average monthly treatment costs for stroke and CHD ranged between $300 and $1000, however variability across estimates was high. In most LMICs both the annual cost of care and the cost of an acute episode exceed many times the total health expenditure per capita. CONCLUSIONS: The existing evidence on the economic burden of CVD in LMICs does not appear aligned with policy priorities in terms of research volume, pathologies studied and methodological quality. Not only is more economic research needed to fill the existing gaps, but research quality needs to be drastically improved. More broadly, national-level studies with appropriate sample sizes and adequate incorporation of indirect costs need to replace small-scale, institutional, retrospective cost studies.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1186/s12889-018-5806-x

Cites

42 of 42 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 42 references

Cited by

See all 532

Metadata

Authors
Gheorghe, A., Griffiths, U., Murphy, A., Legido-Quigley, H., Lamptey, P., & Perel, P.
Venue
BMC Public Health
Published
2018-08-06
Volume
18
Issue
1
Pages
975-975
ISSN
1471-2458 (ISSN-L)
OpenAlex
W2886783112
Cited by
532
References
42
FWCI
11.56
Type
journal article
Language
en
Open access
gold

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: The economic burden of cardiovascular disease and hypertension in low- and middle-income countries: a systematic review. https://app.cochat.ai/papers/10.1186/s12889-018-5806-x
The paper
Gheorghe, A., Griffiths, U., Murphy, A., Legido-Quigley, H., Lamptey, P., & Perel, P. (2018). The economic burden of cardiovascular disease and hypertension in low- and middle-income countries: a systematic review. BMC Public Health. https://doi.org/10.1186/s12889-018-5806-x

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.