Evidence map›Paper›PMID 42485717›Full record

ArticleJACC. Advances2026

Cardiovascular Disease Screening Programs in Low- and Middle-Income Countries: A Systematic Review.

Eyad Jamileh, Ahmed T Elmewafy, Mohammad Almeer, Priyanth Alaguraja, Sadeer Al-Kindi, Zainab Dakhil, Mirvat Alasnag, Jassim Al Suwaidi, Marwan M Refaat, Mohamad B Taha and 5 more

Abstract read
In one paragraph

Article in JACC. Advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. Article
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

15 authors.

Eyad JamilehRoyal Blackburn Teaching Hospital; East Lancashire Hospitals Trust, Blackburn, England, United Kingdom.
Ahmed T ElmewafySchool of Medicine, University of Sheffield, Sheffield, England, United Kingdom.
Mohammad AlmeerSchool of Medicine, University of Central Lancashire, Preston, England, United Kingdom.
Priyanth AlagurajaDepartment of Cardiology, Kettering General Hospital, Kettering, United Kingdom.
Sadeer Al-KindiHouston Methodist DeBakey Heart and Vascular Centre, Houston, Texas, USA.
Zainab DakhilIbn Al-Bitar Cardiac Centre, University of Baghdad/Al-Kindy College of Medicine, Baghdad, Iraq.
Mirvat AlasnagCardiac Centre, King Fahd Armed Forces Hospital, Jeddah, Saudi Arabia.
Jassim Al SuwaidiHamad Medical Corporation, Doha, Qatar.
Marwan M RefaatDepartment of Cardiology, American University of Beirut, Beirut, Lebanon.
Mohamad B TahaHouston Methodist DeBakey Heart and Vascular Centre, Houston, Texas, USA.
Kaveh HosseiniDepartment of Cardiology, Copenhagen University Hospital - Herlev and Gentofte, Copenhagen, Denmark; Center for Translational Cardiology and Pragmatic Randomized Trials, Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark.
Wael Al MahmeedCleveland Clinic Abu Dhabi, Abu Dhabi, United Arab Emirates.
Amr AbdinDepartment of Internal Medicine III, Cardiology, Angiology, Intensive Care Medicine, Saarland University, Saarland University Medical Centre, Germany.
Mustafa ZakkarDepartment of Cardiac Surgery, University Hospitals of Leicester NHS Trust, Glenfield Hospital, Leicester, United Kingdom.
Ibrahim AntounDepartment of Cardiovascular Sciences, Clinical Science Wing, University of Leicester, Glenfield Hospital, Leicester, United Kingdom. Electronic address: ia277@leicester.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCardiovascular disease (CVD) is the leading global cause of mortality and disproportionately affects low- and middle-income countries (LMICs). Although screening is essential for prevention and early detection, its effectiveness and implementation in LMICs remain unclear.

objectivesThe objective of the study was to evaluate the diagnostic performance, detection yield, and linkage-to-care outcomes of CVD and major cardiometabolic risk-factor screening programs in LMICs.

methodsWe conducted a systematic review in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines (PROSPERO, CRD420251241426). Databases were searched through November 2025. Observational and interventional studies assessing cardiovascular or major cardiometabolic screening programs in LMICs were included. Primary outcomes were detection rates and linkage to care. Secondary outcomes included risk-factor control, cardiovascular events, mortality, and cost-effectiveness. Owing to heterogeneity, results were synthesized narratively.

resultsSeventeen studies from Asia, sub-Saharan Africa, and Latin America were included. Screening approaches comprised risk-prediction models, point-of-care testing, community health worker-led programs, and mobile health platforms. Diagnostic performance ranged from area under the curve 0.64 to 0.91. Locally adapted risk models generally outperformed imported scores, whereas simplified tools showed acceptable discrimination. Screening identified a substantial burden of undiagnosed disease, with up to 55% meeting hypertension criteria and approximately 40% classified as high risk for diabetes. However, considerable attrition occurred across the care cascade, with preventive service uptake ranging from 15% to 58% and confirmatory testing as low as 22%. Community health worker-led programs demonstrated >90% sensitivity and specificity compared with clinician assessment.

conclusionsCVD screening programs in LMICs can effectively identify unmet cardiometabolic risk, but weak linkage to care limits impact. Strengthening integrated screening-to-treatment pathways is essential to improve outcomes.

Indexed as

cardiovascular diseasecommunity health workersdiabeteshypertensionlow- and middle-income countriesscreening

Identifiers

PMID42485717
PMCPMC13425897

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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.