Evidence map›Paper›PMID 41523171›Full record

ArticleJournal of current glaucoma practice

Influence of Age, Race, and Corneal Factors on Intraocular Pressure Measurements with Goldmann, Pascal, and Ocular Response Analyzer.

Larissa Doi, Adriana Oshima, Sidarta Hossaka, Dillan Cunha Amaral, Rodrigo Brazuna, João Antônio Prata Jr

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In one paragraph

Article in Journal of current glaucoma practice. 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

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Larissa DoiDepartamento de Oftalmologia, Universidade Federal de São Paulo, São Paulo; Department of Ophthalmology, Universidade Estadual do Rio de Janeiro, Rio de Janeiro, Brazil.
Adriana OshimaDepartamento de Oftalmologia, Universidade Federal de São Paulo, São Paulo, Brazil.
Sidarta HossakaDepartamento de Oftalmologia, Universidade Federal de São Paulo, São Paulo, Brazil.
Dillan Cunha AmaralDepartamento de Oftalmologia, Universidade Federal de Rio de Janeiro, Rio de Janeiro, Brazil.
Rodrigo BrazunaDepartamento de Oftalmologia, Universidade Federal de Estado do Rio de Janeiro, Rio de Janeiro, Brazil.
João Antônio Prata JrDepartamento de Oftalmologia, Universidade Federal de São Paulo, São Paulo, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim and background: To evaluate the influence of age, race, and corneal factors on intraocular pressure (IOP) measurements using Goldmann applanation tonometry (GAT), Pascal dynamic contour tonometry (DCT), and the ocular response analyzer (ORA), and to assess their correlation and agreement. Methods: A cross-sectional study included 231 eyes from 125 healthy individuals. Race was self-reported based on Brazilian Institute of Geography and Statistics criteria. Following anamnesis and ophthalmological examination, ultrasonic pachymetry, corneal curvature, and astigmatism measurements were performed. IOP was measured in random order with GAT, DCT, and ORA by a single examiner. Corneal hysteresis (CH) and corneal resistance factor (CRF) were also assessed. Results: Age had no significant effect on tonometry readings. Race influenced only GAT measurements, with differences between mixed-race and Black ( Conclusions: Age did not impact IOP measurements. Race influenced only GAT readings. Corneal properties variably affected all tonometry methods. Although the devices showed strong correlation, the agreement was moderate, highlighting the importance of considering corneal factors and device selection when evaluating IOP. Clinical significance: The study shows that corneal features can affect IOP readings, especially with Goldmann tonometry. Age did not affect the results, and race had a small effect on Goldmann only. Devices correlated strongly but were not interchangeable due to wide limits of agreement. This means eye doctors should consider the type of device and corneal factors when checking IOP. How to cite this article: Doi L, Oshima A, Hossaka S,

Indexed as

Central corneal thicknessCorneal biomechanicsCorneal hysteresisCorneal resistance factorDynamic contour tonometryGlaucomaGoldmann applanation tonometryIntraocular pressureOcular hypertensionOcular response analyzerRace

Identifiers

PMID41523171
PMCPMC12780360

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Registered trials

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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.