Systematic Review and Meta-Analysis of Hypertension Risk Factors in South Africa

A 2026 systematic review synthesizing evidence from 11 studies with 49,058 participants across nine South African provinces. The work by Martins Nweke classifies hypertension risk factors, performs meta-analysis, and maps causal pathways to support prediction models and prevention strategies.

Use Cases

• Training risk stratification models based on identified factors like age, diabetes, and education.
• Informing public health screening policies based on the classification of priority groups.
• Analyzing causal pathways for hypertension using the described directed acyclic diagrams.
• Benchmarking prevention strategy effectiveness against reported risk thresholds (Rw) and net GTT values.

Strengths

• Includes meta-analysis results with specific odds ratios (e.g., age OR: 3.67) and confidence intervals.
• Based on a systematic review following PRISMA 2020 guidelines across six major databases.
• Reports specific performance metrics for a prediction model (Rw 6.0, net GTT 2.49).

Limitations

• The primary file is a DOCX document (29.4 KB); underlying tabular data or code is not directly provided.
• Row count and column-level documentation for any underlying data are unknown.
• Data may reflect bias inherent to the included study designs and publication sources.

Provenance

Source

Martins Nweke via figshare.

Collection Method

Systematic review and meta-analysis following PRISMA 2020.

Time Range

Review conducted up to 2026; temporal coverage of included studies is not specified.

Freshness

Last updated 2026-03-17 13:05:08.

Geography

South Africa (participants from nine provinces).