Evidence map›Paper›PMID 40610047›Full record

ArticleThe British journal of ophthalmology2025

Prediction of repeatable glaucomatous visual field defects based on cluster characteristics.

Jeremy C K Tan, Jack Phu, Katharina Bell, Ashish Agar, Jonathan Crowston, Giovanni Montesano

Abstract readEvaluation Study
In one paragraph

Article in The British journal of ophthalmology, 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

What it found

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2 · The registry

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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

6 authors.

Jeremy C K TanFaculty of Medicine and Health, University of New South Wales, Sydney, New South Wales, Australia jeremy.c.tan@unsw.edu.au.ORCID http://orcid.org/0000-0003-4117-7446
Jack PhuFaculty of Medicine and Health, University of New South Wales, Sydney, New South Wales, Australia.
Katharina BellNHMRC Clinical Trials Centre, Camperdown, New South Wales, Australia.
Ashish AgarDepartment of Ophthalmology, Prince of Wales Hospital and Community Health Services, Sydney, New South Wales, Australia.
Jonathan CrowstonThe University of Sydney Save Sight Institute, Sydney, New South Wales, Australia.
Giovanni MontesanoOptometry and Vision Sciences, City University of London, London, UK.ORCID http://orcid.org/0000-0002-9148-2804

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThis study evaluates if characteristics (eg, location, size, volume) of clusters of defects on an initial visual field (VF) test were predictive of a repeatable defect in the subsequent two tests.

methodsRetrospective cohort study of 197 eyes of 103 patients with healthy, suspect or early glaucoma. Using the initial VF pattern deviation probability grid, we defined the number of clusters (≥1 location of p<5%) and associated size (number of adjoining defect locations) and volume (sum of corresponding total deviation values) for each cluster stratified by the four probability levels (ie, p<5%; p<2%; p<1% and p<0.5%).

resultsOf 4424 locations with a defect of p<5%, only 1189 (26.9%) were repeatable. The size [area under the receiver operating characteristic curve (AUC) 0.80, CI 0.76 to 0.85)] and volume (AUC 0.80, CI 0.76 to 0.85) of clusters were predictive of a repeatable defect within the cluster. The optimal thresholds for predicting a repeatable location within each cluster at 95% specificity based on initial cluster size were >6 locations at p<5%, >4 locations at p<2%, >3 locations at p<1% and >2 locations at p<0.5%. Defining cluster defects by involvement of central or peripheral rim locations improved the predictive value compared with the entire 24-2 grid.

conclusionThe location, size and volume of clusters of defects on an initial VF test may be predictive of subsequent repeatability. This may help distinguish eyes with a higher risk of repeatable defects.

Indexed as

GlaucomaVision DisordersVisual FieldsVisual Field TestsAgedCluster AnalysisHumansMiddle AgedPredictive Value of TestsReproducibility of ResultsRetrospective StudiesROC CurveField of visionGlaucomaPsychophysicsVisual perception

Identifiers

PMID40610047
PMCPMC12703268

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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.