Evidence map›Paper›PMID 41808750›Full record

ReviewFrontiers in cardiovascular medicine2026

Risk stratification of hypertension in South Africa: a systematic review with meta-analysis.

Martins Nweke, Nalini Govender, Julian Pillay

Abstract readReview
In one paragraph

Review in Frontiers in cardiovascular medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Martins NwekeGlobal Health and Sustainability, Faculty of Health Sciences, Durban University of Technology, Durban, South Africa.
Nalini GovenderBasic Medical Sciences, Faculty of Health Sciences, Durban University of Technology, Durban, South Africa.
Julian PillayGlobal Health and Sustainability, Faculty of Health Sciences, Durban University of Technology, Durban, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Hypertension is a leading cause of morbidity and mortality in South Africa. Evidence on risk factors is scattered across study designs, limiting clinical decision support. This review synthesizes evidence to classify hypertension risk factors to strengthen prediction models and prevention strategies through causal integration. Methods: A systematic review followed PRISMA 2020, searching PubMed, Scopus, Web of Science, Medline, CINAHL, and SABINET. Two independent reviewers screened and extracted data. Narrative synthesis and meta-analysis were performed, and risk factors were classified within a framework. Causal pathways were mapped using directed acyclic diagram. Results: Eleven studies with 49,058 participants from nine provinces were included. Strongest risk factors were advanced age (OR: 3.67, CI 1.7-7.6) and diabetes (OR: 1.85, CI 1.39-2.46), followed by low education (OR: 1.75, CI 1.56-2.00), ethnicity (OR: 1.57, CI 1.23-2.01), and socioeconomic status (OR: 1.14, CI 1.01-1.30). Critical risk thresholds (Rw: 3.8 and 5.5) correspond to the 75th and 50th percentiles. A prediction model (Age-Ethnicity-Diabetes) achieved Rw 6.0 and net GTT 2.49. Higher education, improved socio-economic status, and diabetes management were primary prevention strategies (Rw: 4.71, net GTT: 2.49). Age and diabetes emerged as "necessary causes". Conclusion: Older adults (≥50 years), individuals with diabetes, mixed-race ethnicity, and lower socioeconomic status are priority groups. Screening should be prompted by age and diabetes. Registration: https://www.crd.york.ac.uk/PROSPERO/view/CRD420251026501, PROSPERO ID: CRD420251026501.

Indexed as

determinantshypertensionrisk factorsSouth Africastratification

Identifiers

PMID41808750
PMCPMC12967931

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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.