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Glaucoma prevalence in Africa varies widely with diagnostic criteria; standardized ISGEO definitions narrow estimatesStandardized rules help track how common glaucoma is in Africa

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Key Takeaway
Interpret glaucoma prevalence estimates in Africa with caution due to diagnostic heterogeneity; standardized ISGEO criteria yield narrower ranges.

This systematic review synthesizes 9 population-based studies on glaucoma in Africa, focusing on the diagnostic frameworks used and their impact on prevalence estimates. The review compares studies using full ISGEO definitions, partial ISGEO, and non-ISGEO criteria, revealing substantial variability in reported prevalence.

Key findings indicate that when full ISGEO definitions are applied, glaucoma prevalence ranges from 4.3% to 5.3%, a relatively narrow band. In contrast, studies using partial or non-ISGEO definitions report a broader range of 2.1% to 8.4%. This discrepancy underscores the influence of diagnostic criteria on epidemiological estimates.

Additionally, among the 5 studies reporting the rate of previously diagnosed glaucoma cases, the proportion ranged from 3.3% to 14.3%, suggesting that a significant majority of glaucoma cases in Africa remain undiagnosed.

The authors identify diagnostic heterogeneity as a major limitation, which hampers comparability across studies and complicates the interpretation of glaucoma burden in the region. They call for standardized reporting of diagnostic protocols and clear justification of approaches in future epidemiological research.

For clinicians and researchers, this review highlights the need for caution when comparing prevalence figures across African populations and emphasizes the importance of consistent diagnostic criteria to inform public health planning and resource allocation.

How this fits prior evidence

This systematic review extends prior coverage on glaucoma by quantifying how diagnostic criteria affect prevalence estimates in Africa. It confirms the importance of standardized assessment, aligning with prior notes on dynamic gratings lacking standardized protocols. The wide range in prevalence (2.1% to 8.4%) with non-ISGEE criteria contrasts with the narrower range (4.3% to 5.3%) using full ISGEO, reinforcing the need for consistent definitions to interpret epidemiological data.

When doctors try to measure how many people have glaucoma, the results can vary wildly depending on which rules they use. This is a big problem when trying to understand the true scale of the disease in Africa. Because different studies used different methods, it was hard to compare their findings accurately.

Researchers looked at nine studies across the continent and found that using a specific set of standard definitions (called ISGEO) creates a much narrower range for how many people have the condition. When these strict rules were used, the estimated prevalence sat between 4.3% and 5.3%. In contrast, when less specific rules were used, the estimates jumped to a much wider range of 2.1% to 8.4%.

This means that clear reporting is vital for health officials. By using consistent tools, they can better understand who needs care. However, because many existing studies still use different methods, it remains difficult to compare data across the continent until everyone uses the same standard.

What this means for you:
Using standardized diagnostic rules provides a much clearer and more accurate picture of glaucoma prevalence.

Common questions

How does using standard rules change the reported numbers of glaucoma?

Using a specific set of standards called ISGEO results in a narrower range for how many people have glaucoma, between 4.3% and 5.3%. When less specific or partial definitions are used, the estimated range is much wider, from 2.1% to 8.4%.

Why is it hard to compare glaucoma data across different regions?

It is difficult because of diagnostic heterogeneity. This means that different studies use different rules and methods to identify the disease, making it hard to compare how many people are affected in one area versus another.

Study Details

Study typeMeta analysis
EvidenceLevel 1
PublishedAug 2026
View Original Abstract ↓
The burden of glaucoma is disproportionately high in Africa. While numerous population-based studies have reported prevalence estimates, little attention has been given to the diagnostic criteria underpinning these findings.Objective: This review sought to systematically examine the diagnostic criteria used to define glaucoma in population-based studies in Africa, and to synthesize corresponding estimates of glaucoma prevalence. A systematic search of PubMed, Scopus, Google Scholar, and African Journals Online identified population-based studies on glaucoma prevalence in Africa. Diagnostic approaches were classified by adherence to the International Society of Geographical and Epidemiological Ophthalmology (ISGEO) criteria. The primary outcome was the diagnostic framework used, with secondary outcomes including prevalence estimates for major glaucoma subtypes. Nine studies met the inclusion criteria. The use of ISGEO definitions varied considerably across the studies. Key sources of heterogeneity included intraocular pressure thresholds, optic nerve head assessment, use of visual field testing, and gonioscopy application. Studies applying the full ISGEO definitions generally had a trend of reported prevalence estimates within a narrower range (4.3% to 5.3%), whereas studies employing partial ISGEO or non-ISGEO diagnostic approaches reported a broader range of prevalence estimates (2.1% to 8.4%). The proportion of previously diagnosed glaucoma cases was low, ranging from 3.3% to 14.3% among studies that reported previously diagnosed glaucoma rates (n = 5). Diagnostic heterogeneity remains a major limitation to the comparability of glaucoma prevalence estimates across Africa. Standardized reporting of diagnostic protocols, together with clear justification of the diagnostic approaches employed, is essential to improve the interpretation and comparability of future epidemiological studies while recognizing the practical constraints of resource-limited settings. [https://www.crd.york.ac.uk/PROSPERO/view/ CRD42024592160], identifier [CRD42024592160].
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