ArticleInvestigative ophthalmology & visual science2017
Detection of Functional Change Using Cluster Trend Analysis in Glaucoma.
Article in Investigative ophthalmology & visual science, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed.
- Eye-tracking biomarkers for glaucoma based on saccadic reaction time: a controlled clinical study.Frontiers in ophthalmology · 2025Trial
- Relations Between Pulsatility in the Optic Nerve Head or Peripapillary Retinal Vessels and the Rate of Progression in Glaucoma.Investigative ophthalmology & visual science · 2025Article
- Vascular resistance indices are higher in the superior than inferior optic nerve head and retina.Experimental eye research · 2024Article
- Detectability of Visual Field Defects in Glaucoma Using Moving Versus Static Stimuli for Perimetry.Translational vision science & technology · 2023Article
- A Data-Driven Model for Simulating Longitudinal Visual Field Tests in Glaucoma.Translational vision science & technology · 2023Article
- Retinal Vessel Pulsatile Characteristics Associated With Vascular Stiffness Can Predict the Rate of Functional Progression in Glaucoma Suspects.Investigative ophthalmology & visual science · 2023Article
- A Prospective Longitudinal Study to Investigate Corneal Hysteresis as a Risk Factor of Central Visual Field Progression in Glaucoma.American journal of ophthalmology · 2022Article
- Long- and Short-Term Variability of Perimetry in Glaucoma.Translational vision science & technology · 2022Article
- Pointwise and Region-Wise Course of Visual Field Loss in Patients With Glaucoma.Translational vision science & technology · 2022Article
- Structure-Function Relationship between Cluster Mean Defect and Sector Peripapillary Retinal Nerve Fiber Layer Thickness in Primary Open Angle Glaucoma.Journal of ophthalmology · 2022Article
- Diabetes mellitus associated neurovascular lesions in the retina and brain: A review.Frontiers in ophthalmology · 2022Review
- Characteristics of Central Visual Field Progression in Eyes with Optic Disc Hemorrhage.American journal of ophthalmology · 2021Article
- Time Lag Between Functional Change and Loss of Retinal Nerve Fiber Layer in Glaucoma.Investigative ophthalmology & visual science · 2020Article
- Detection of functional deterioration in glaucoma by trend analysis using comprehensive overlapping clusters of locations.Scientific reports · 2020Article
- Monitoring Glaucomatous Functional Loss Using an Artificial Intelligence-Enabled Dashboard.Ophthalmology · 2020Article
- Detection of Functional Deterioration in Glaucoma by Trend Analysis Using Overlapping Clusters of Locations.Translational vision science & technology · 2020Article
- Estimating Rates of Progression and Predicting Future Visual Fields in Glaucoma Using a Deep Variational Autoencoder.Scientific reports · 2019Article
- Increased Optic Nerve Head Capillary Blood Flow in Early Primary Open-Angle Glaucoma.Investigative ophthalmology & visual science · 2019Article
- Development of a Visual Field Simulation Model of Longitudinal Point-Wise Sensitivity Changes From a Clinical Glaucoma Cohort.Translational vision science & technology · 2018Article
- Application of Pattern Recognition Analysis to Optimize Hemifield Asymmetry Patterns for Early Detection of Glaucoma.Translational vision science & technology · 2018Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Purpose: Global analyses using mean deviation (MD) assess visual field progression, but can miss localized changes. Pointwise analyses are more sensitive to localized progression, but more variable so require confirmation. This study assessed whether cluster trend analysis, averaging information across subsets of locations, could improve progression detection. Methods: A total of 133 test-retest eyes were tested 7 to 10 times. Rates of change and P values were calculated for possible re-orderings of these series to generate global analysis ("MD worsening faster than x dB/y with P < y"), pointwise and cluster analyses ("n locations [or clusters] worsening faster than x dB/y with P < y") with specificity exactly 95%. These criteria were applied to 505 eyes tested over a mean of 10.5 years, to find how soon each detected "deterioration," and compared using survival models. This was repeated including two subsequent visual fields to determine whether "deterioration" was confirmed. Results: The best global criterion detected deterioration in 25% of eyes in 5.0 years (95% confidence interval [CI], 4.7-5.3 years), compared with 4.8 years (95% CI, 4.2-5.1) for the best cluster analysis criterion, and 4.1 years (95% CI, 4.0-4.5) for the best pointwise criterion. However, for pointwise analysis, only 38% of these changes were confirmed, compared with 61% for clusters and 76% for MD. The time until 25% of eyes showed subsequently confirmed deterioration was 6.3 years (95% CI, 6.0-7.2) for global, 6.3 years (95% CI, 6.0-7.0) for pointwise, and 6.0 years (95% CI, 5.3-6.6) for cluster analyses. Conclusions: Although the specificity is still suboptimal, cluster trend analysis detects subsequently confirmed deterioration sooner than either global or pointwise analyses.
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