Observational studyScientific reports2019
Estimating Visual Field Mean Deviation using Optical Coherence Tomographic Nerve Fiber Layer Measurements in Glaucoma Patients.
Observational study in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
14 citing papers in PubMed, 18 citations in OpenAlex.
- Performance of OCT-Based Artificial Intelligence Models for Detecting and Predicting Glaucoma Progression: A Systematic Review.Journal of clinical medicine · 2026Review
- Diet, Mitochondrial Dysfunction, Vascular Endothelial Damage, and the Microbiome: Drivers of Ocular Degenerative and Inflammatory Diseases.Ophthalmology and therapy · 2025Review
- Detecting glaucoma worsening using optical coherence tomography derived visual field estimates.Scientific reports · 2025Article
- Normative Percentiles of Retinal Nerve Fiber Layer Thickness and Glaucomatous Visual Field Loss.Translational vision science & technology · 2023Article
- Physical Activity Is Associated With Macular Thickness: A Multi-Cohort Observational Study.Investigative ophthalmology & visual science · 2023Observational
- Prediction of visual field defects from macular optical coherence tomography in glaucoma using cluster analysis.Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) · 2022Article
- A Global and Sector-Based Comparison of OCT Angiography and Visual Field Defects in Glaucoma.Journal of ophthalmology · 2022Article
- RetiNerveNet: using recursive deep learning to estimate pointwise 24-2 visual field data based on retinal structure.Scientific reports · 2021Article
- Visual Field Inference From Optical Coherence Tomography Using Deep Learning Algorithms: A Comparison Between Devices.Translational vision science & technology · 2021Article
- Focal Loss Analysis of Nerve Fiber Layer Reflectance for Glaucoma Diagnosis.Translational vision science & technology · 2021Article
- Three-dimensional Neuroretinal Rim Thickness and Visual Fields in Glaucoma: A Broken-stick Model.Journal of glaucoma · 2020Article
- Optical coherence tomography angiography in glaucoma: analysis of the vessel density-visual field sensitivity relationship.Annals of translational medicine · 2020Review
- The Impact of Social Vulnerability on Structural and Functional Glaucoma Severity, Worsening, and Variability.Ophthalmology. GlaucomaArticle
- Big data in visual field testing for glaucoma.Taiwan journal of ophthalmologyReview
Corrections and comments
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Authors and funding
6 authors at 5 institutions in 1 country.
Funding
Abstract
To construct an optical coherence tomography (OCT) nerve fiber layer (NFL) parameter that has maximal correlation and agreement with visual field (VF) mean deviation (MD). The NFL_MD parameter in dB scale was calculated from the peripapillary NFL thickness profile nonlinear transformation and VF area-weighted averaging. From the Advanced Imaging for Glaucoma study, 245 normal, 420 pre-perimetric glaucoma (PPG), and 289 perimetric glaucoma (PG) eyes were selected. NFL_MD had significantly higher correlation (Pearson R: 0.68 vs 0.55, p < 0.001) with VF_MD than the overall NFL thickness. NFL_MD also had significantly higher sensitivity in detecting PPG (0.14 vs 0.08) and PG (0.60 vs 0.43) at the 99% specificity level. NFL_MD had better reproducibility than VF_MD (0.35 vs 0.69 dB, p < 0.001). The differences between NFL_MD and VF_MD were -0.34 ± 1.71 dB, -0.01 ± 2.08 dB and 3.54 ± 3.18 dB and 7.17 ± 2.68 dB for PPG, early PG, moderate PG, and severe PG subgroups, respectively. In summary, OCT-based NFL_MD has better correlation with VF_MD and greater diagnostic sensitivity than the average NFL thickness. It has better reproducibility than VF_MD, which may be advantageous in detecting progression. It agrees well with VF_MD in early glaucoma but underestimates damage in moderate~advanced stages.
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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.