Evidence map›Paper›PMID 40778565›Full record

ArticleOphthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists)2025

Zulu ocular biometry differs fundamentally from that of Europeans - A modelling analysis.

Veronica Lockett-Ruiz, Tanya Evans, Rafael Navarro, Khathutshelo Percy Mashige, Jos J Rozema

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Article in Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists), 2025. 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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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Veronica Lockett-RuizINMA-CSIC and Universidad de Zaragoza, Zaragoza, Spain.ORCID https://orcid.org/0000-0002-9413-838X
Tanya EvansDepartment of Optometry, University of Johannesburg, Johannesburg, South Africa.ORCID https://orcid.org/0000-0001-8307-2912
Rafael NavarroINMA-CSIC and Universidad de Zaragoza, Zaragoza, Spain.ORCID https://orcid.org/0000-0002-1328-1716
Khathutshelo Percy MashigeSchool of Health Sciences, University of KwaZulu-Natal, Durban, South Africa.
Jos J RozemaVisual Optics Lab Antwerp (VOLANTIS), Faculty of Medicine and Health Sciences, University of Antwerp, Wilrijk, Belgium.ORCID https://orcid.org/0000-0001-8124-8646

Funding

Department of Higher Education and TrainingH2020 Marie Skłodowska-Curie Actions 956720South African Medical Research Council
6 · The paper itself

Abstract

purposeThe accuracy of ocular refraction calculations depends on reliable biometry and the validity of the models upon which the calculations are based. Most models are based on European eyes, so their validity in sub-Saharan Africans may be questioned, potentially contributing to suboptimal postoperative outcomes. Hence, this study developed an optical eye model tailored to a Zulu cohort.

methodsOcular biometry data were collected from 192 near-emmetropic (i.e., non-cycloplegic spherical equivalent within ±1D) young individuals of Zulu descent in Durban, South Africa. Key biometric parameters, including axial length, corneal thickness, anterior chamber depth, crystalline lens thickness and vitreous chamber depth, were measured and input into Bennett's and Royston's equations to develop the eye model. This model was subsequently compared to the eyes of 32 near-emmetropic young European adults that were used previously to help develop the SyntEyes model. Statistical analysis was performed to identify significant differences in ocular structural parameters between the models.

resultsZulu eyes exhibited marked differences compared to European eyes. On average, Zulu eyes had deeper anterior chambers (+0.28 mm, t-test, p < 0.001), thinner crystalline lenses (-0.19 mm, p < 0.001) and lower corneal power (-0.83 D, p = 0.001). However, the total ocular power of Zulu eyes was greater due to a more powerful crystalline lens (+2.60 D, p < 0.001). No significant difference in refractive error or axial length was observed between the two populations.

conclusionsThe ocular biometry of the Zulu population differs significantly from that of the European population, particularly in corneal and crystalline lens power, lens thickness and anterior chamber depth. This has important implications for intraocular lens power calculations, glaucoma risk assessment and other diagnostic procedures. Accurate, population-specific references are essential for optimising vision correction and enhancing ophthalmic healthcare outcomes in regions with populations underrepresented in the literature.

Indexed as

Axial Length, EyeBiometryLens, CrystallineRefraction, OcularRefractive ErrorsSouthern African PeopleWhite PeopleAdultAnterior ChamberCorneaEuropean PeopleFemaleHumansMaleSouth AfricaYoung AdultAfricanaxial lengthcorneal thicknesseyeocular biometryrefractive error

Identifiers

PMID40778565
PMCPMC12682084

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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.