ArticleInvestigative ophthalmology & visual science2020
Time Lag Between Functional Change and Loss of Retinal Nerve Fiber Layer in Glaucoma.
Article in Investigative ophthalmology & visual science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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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.
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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.
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Who cites it
15 citing papers in PubMed, 20 citations in OpenAlex.
- Relationship Between Intraocular Pressure and the True Rate of Functional and Structural Progression in the United Kingdom Glaucoma Treatment Study.Investigative ophthalmology & visual science · 2025Trial
- Ocular Hypertension Treatment Study: Effect of Time After Incident Glaucoma on OCT Optic Nerve Head and Macula Measurements.American journal of ophthalmology · 2026Article
- Convolutional Graph Isomorphism Network to Detect Glaucomatous Visual Field Defects.Ophthalmology science · 2026Article
- Enhancing the structure-function relationship in glaucoma using anatomical compensation of retinal nerve fibre layer.The British journal of ophthalmology · 2024Article
- Retinal Ganglion Cell Content Underlying Standard Automated Perimetry Size I to V Visual Sensitivities in the Non-Human Primate Experimental Glaucoma Model.Investigative ophthalmology & visual science · 2024Article
- The Temporal Relation Between Rates of Retinal Nerve Fiber Layer and Minimum Rim Width Changes in Glaucoma.Translational vision science & technology · 2024Article
- Assessment of Time Lag Between Blood Flow, Retinal Nerve Fiber Layer Thickness and Visual Field Sensitivity Changes in Glaucoma.Investigative ophthalmology & visual science · 2024Article
- Advanced Analysis of OCT/OCTA Images for Accurately Differentiating Between Glaucoma and Healthy Eyes Using Deep Learning Techniques.Clinical ophthalmology (Auckland, N.Z.) · 2024Article
- Longitudinal Signal-to-Noise Ratio of Perimetry at Different Severities of Glaucoma.Translational vision science & technology · 2023Article
- Moving Stimulus Perimetry: A New Functional Test for Glaucoma.Translational vision science & technology · 2022Article
- Augmenting Kalman Filter Machine Learning Models with Data from OCT to Predict Future Visual Field Loss: An Analysis Using Data from the African Descent and Glaucoma Evaluation Study and the Diagnostic Innovation in Glaucoma Study.Ophthalmology science · 2022Article
- Relationship Between Flicker Modulation Sensitivity and Retinal Ganglion Cell Related Layer Thicknesses.Translational vision science & technology · 2021Article
- Quantification of Retinal Ganglion Cell Morphology in Human Glaucomatous Eyes.Investigative ophthalmology & visual science · 2021Article
- A Joint Bayesian Longitudinal Model for Macular Structure-Function Correlations in Glaucoma.Ophthalmology scienceArticle
- Clinicians' Use of Quantitative Information When Assessing the Rate of Structural Progression in Glaucoma.Ophthalmology. GlaucomaArticle
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
Purpose: It is often suggested that structural change is detectable before functional change in glaucoma. However, this may be related to the lower variability and hence narrower normative limits of structural tests. In this study, we ask whether a time lag exists between the true rates of change in structure and function, regardless of clinical detectability of those changes. Methods: Structural equation models were used to determine whether the rate of change in function (mean linearized total deviation, AveTDLin) or structure (retinal nerve fiber layer thickness [RNFLT]) was predicted by the concurrent or previous rate for the other modality, after adjusting for its own rate in the previous time interval. Rates were calculated over 1135 pairs of consecutive visits from 318 eyes of 164 participants in the Portland Progression Project, with mean 207 days between visits. Results: The rate of change of AveTDLin was predicted by its own rate in the previous time interval, but not by rates of RNFLT change in either the concurrent or previous time interval (both P > 0.05). Similarly, the rate of RNFLT change was not predicted by concurrent AveTDLin change after adjusting for its own previous rate. However, the rate of AveTDLin change in the previous time interval did significantly improve prediction of the current rate for RNFLT, with P = 0.005, suggesting a time lag of around six months between changes in AveTDLin and RNFLT. Conclusions: Although RNFL thinning may be detectable sooner, true functional change appears to predict and precede thinning of the RNFL in glaucoma.
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Registered trials
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.