ArticleOphthalmology2016
Rate and Pattern of Rim Area Loss in Healthy and Progressing Glaucoma Eyes.
Article in Ophthalmology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00221897 (Diagnostic Innovations in Glaucoma Study), which is not on this map. Cited by 9 papers.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Diagnostic Innovations in Glaucoma Study
Who cites it
9 citing papers in PubMed.
- An Association Between Large Optic Nerve Cupping and Cognitive Function.American journal of ophthalmology · 2019Trial
- Ocular Hypertension Treatment Study: Effect of Time After Incident Glaucoma on OCT Optic Nerve Head and Macula Measurements.American journal of ophthalmology · 2026Article
- Long-Term Rate of Optic Disc Rim Loss in Glaucoma Patients Measured From Optic Disc Photographs With a Deep Neural Network.Translational vision science & technology · 2024Article
- Circular functional analysis of OCT data for precise identification of structural phenotypes in the eye.Scientific reports · 2021Article
- Optical Coherence Tomography Structural Abnormality Detection in Glaucoma Using Topographically Correspondent Rim and Retinal Nerve Fiber Layer Criteria.American journal of ophthalmology · 2020Article
- Article
- Racial Differences in Rate of Change of Spectral-Domain Optical Coherence Tomography-Measured Minimum Rim Width and Retinal Nerve Fiber Layer Thickness.American journal of ophthalmology · 2018Article
- A Data Mining Framework for Glaucoma Decision Support Based on Optic Nerve Image Analysis Using Machine Learning Methods.Journal of healthcare informatics research · 2018Article
- A Case for the Use of Artificial Intelligence in Glaucoma Assessment.Ophthalmology. GlaucomaArticle
Corrections and comments
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Authors and funding
12 authors.
Funding
Abstract
purposeTo characterize the rate and pattern of age-related and glaucomatous neuroretinal rim area changes in subjects of African and European descent.
designProspective longitudinal study.
participantsTwo hundred ninety-six eyes of 157 healthy subjects (88 patients of African descent and 69 of European descent) and 73 progressing glaucoma eyes of 67 subjects (24 patients of African descent and 43 of European descent) from the Diagnostic Innovations in Glaucoma Study and the African Descent and Glaucoma Evaluation Study were included.
methodsGlobal and sectoral rim areas were measured using confocal laser scanning ophthalmoscopy. Masked stereophotograph review determined progression of glaucomatous optic disc damage. The rates of absolute rim area loss and percentage rim area loss in healthy and progressing glaucomatous eyes were compared using multivariate, nested, mixed-effects models.
main outcome measuresRate of rim area loss over time.
resultsThe median follow-up time was 5.0 years (interquartile range, 2.0-7.4 years) for healthy eyes and 8.3 years (interquartile range, 7.5-9.9 years) for progressing glaucoma eyes. The mean rate of global rim area loss was significantly faster in progressing glaucomatous eyes compared with healthy eyes for both rim area loss (-10.2×10(-3) vs. -2.8×10(-3) mm(2)/year, respectively; P < 0.001) and percentage rim area loss (-1.1% vs. -0.2%/year, respectively; P < 0.001), but considerable overlap existed between the 2 groups. Sixty-three percent of progressing glaucoma eyes had a rate of change faster than the fifth quantile of healthy eyes. For both healthy and progressing eyes, the pattern of rim area loss and percentage rim area loss were similar, tending to be fastest in the superior temporal and inferior temporal sectors. The rate of change was similar in progressing eyes of patients of African or European descent.
conclusionsCompared with healthy eyes, the mean rate of global rim area loss was 3.7 times faster and the mean rate of global percentage rim area loss was 5.4 times faster in progressing glaucoma eyes. A reference database of healthy eyes can be used to help clinicians distinguish age-related rim area loss from rim area loss resulting from glaucoma.
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