Observational studyOphthalmology. Glaucoma
Improving the Feasibility of Glaucoma Clinical Trials Using Trend-Based Visual Field Progression Endpoints.
Observational study in Ophthalmology. Glaucoma. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
23 citing papers in PubMed, 43 citations in OpenAlex.
- Phase 1b Randomized Controlled Study of Short Course Topical Recombinant Human Nerve Growth Factor (rhNGF) for Neuroenhancement in Glaucoma: Safety, Tolerability, and Efficacy Measure Outcomes.American journal of ophthalmology · 2022Trial
- Artificial Intelligence-Guided Endpoint Selection for Neuroprotection Trials in Glaucoma.American journal of ophthalmology · 2026Article
- Using the Rate of Global and Pointwise Microperimetry Change to Predict Structural Conversion in Intermediate Age-Related Macular Degeneration.Ophthalmology science · 2026Article
- Artificial Intelligence for Optical Coherence Tomography in Glaucoma.Translational vision science & technology · 2025Review
- Endpoints and Design for Clinical Trials in USH2A-Related Retinal Degeneration: Results and Recommendations From the RUSH2A Natural History Study.Translational vision science & technology · 2024Article
- Estimating the Distribution of True Rates of Visual Field Progression in Glaucoma.Translational vision science & technology · 2024Article
- Validating Trend-Based End Points for Neuroprotection Trials in Glaucoma.Translational vision science & technology · 2023Article
- A potential primary endpoint for clinical trials in glaucoma neuroprotection.Scientific reports · 2023Article
- Validation of Rates of Mean Deviation Change as Clinically Relevant End Points for Glaucoma Progression.Ophthalmology · 2023Observational
- Visual Field Endpoints for Neuroprotective Trials: A Case for AI-Driven Patient Enrichment.American journal of ophthalmology · 2022Article
- Ganglion Cell Complex: The Optimal Measure for Detection of Structural Progression in the Macula.American journal of ophthalmology · 2022Article
- UWHVF: A Real-World, Open Source Dataset of Perimetry Tests From the Humphrey Field Analyzer at the University of Washington.Translational vision science & technology · 2022Article
- Hierarchical Censored Bayesian Analysis of Visual Field Progression.Translational vision science & technology · 2021Article
- Fundus-controlled perimetry (microperimetry): Application as outcome measure in clinical trials.Progress in retinal and eye research · 2021Review
- Estimating Ganglion Cell Complex Rates of Change With Bayesian Hierarchical Models.Translational vision science & technology · 2021Article
- Pointwise Methods to Measure Long-term Visual Field Progression in Glaucoma.JAMA ophthalmology · 2020Article
- Sample Size Requirements of Glaucoma Clinical Trials When Using Combined Optical Coherence Tomography and Visual Field Endpoints.Scientific reports · 2019Article
- Cholinergic nervous system and glaucoma: From basic science to clinical applications.Progress in retinal and eye research · 2019Review
- Short-Term Rates of Visual Field Change Predict Glaucoma Progression.Ophthalmology. GlaucomaObservational
- Short-term Assessment of Glaucoma Progression in Clinical Trials Using Trend-based Visual Field Progression Analysis.Ophthalmology scienceArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 5 institutions in 4 countries.
Funding
Abstract
Purpose: There have been concerns that short-term clinical trials for evaluating new treatments in glaucoma would require prohibitively large sample sizes when using visual field endpoints, given that glaucoma is often a slowly progressive disease. This study sought to determine the required sample size for such trials using event-based analyses, and whether it can be reduced using trend-based analyses. Design: Longitudinal, observational study. Participants: 321 eyes of 240 glaucoma participants followed under routine clinical care using 242 visual field for an average of 10 years. Methods: Sample size requirements were derived using computer simulations that reconstructed "real-world" visual fields by combining estimates of point-wise variability according to different threshold levels and rates of change obtained from the clinical glaucoma cohort. A clinical trial lasting 2 years with testing every 3 months was simulated, assuming that the new treatment halted visual field change in various percentages of participants (or "responders"). Treatment efficacy was evaluated by: (a) Difference in incidence of point-wise event-based progression (similar to the commercially available Guided Progression Analysis), and (b) Difference in rate of visual field mean deviation (MD) change between groups using linear mixed models (LMMs). Main Outcome Measures: Sample size to detect a statistically significance difference between groups. Results: Between-group trend-based analyses using LMMs reduced sample size requirements by 85-90% across the range of new treatment effects when compared to the conventional point-wise event-based analysis. To detect the effect of a new treatment that halted progression in 30% of the participants under routine clinical care (equal to a 30% reduction in average rate of MD change) with 90% power, for example, 1924 participants would be required per group using event-based analysis, but only 277 participants per group if LMMs were used. Conclusions: The feasibility of future glaucoma clinical trials can be substantially improved by evaluating differences in the rate of visual field change between groups.
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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.