Vision Recovery Velocity, Momentum and Acceleration: Advanced Vitreoretinal Analytics as Measure of Treatment Efficacy for Neovascular Age-Related Macular Degeneration
Bibliographic record
Abstract
David RP Almeida,1 Jessica Ruzicki,2 Kunyong Xu,3 Eric K Chin4 1Vitreoretinal Diseases & Surgery, Erie Retinal Surgery, Erie, PA, USA; 2Department of Ophthalmology, Queen’s University, Kingston, Ontario, Canada; 3Department of Ophthalmology and Visual Sciences, University of Arizona, Arizona, AZ, USA; 4Vitreoretinal Diseases & Surgery, Retina Consultants of Southern California, Redlands, CA, USA; 5Vitreoretinal Diseases & Surgery, Loma Linda University Medical Center, Veterans Affairs Hospital, Loma Linda, CA, USACorrespondence: David RP AlmeidaErie Retinal Surgery, 300 State Street, Suite 201, Erie, PA 16507, USATel +1 814 456-4241Fax +1 814 453-3354Email drpa@pm.mePurpose: Currently, varying treatment paradigms and different clinical trial constructs preclude cross-trial comparison between different available vascular endothelial growth factor (VEGF) inhibitors. This study aimed to review the evidence and compare the efficacy of anti-VEGF therapies for neovascular age-related macular degeneration (nAMD), and to develop metrics as a means of facilitating standardized comparison between different anti-VEGF agents within the Advanced VitreoRetinal Analytics (AVRA) model.Methods: The study analyzed key outcomes in clinical trials of bevacizumab, ranibizumab, aflibercept, and brolucizumab, including best corrected visual acuity (BCVA), number of injections, and duration of follow-up (minimum follow-up of 48 weeks).Results: The AVRA model includes 1) vision recovery velocity (VRV; letters per unit time), which provides a metric of letters gained or lost over time (or the speed of improvement); 2) injection momentum (InjMom; number of injections multiplied by letters per unit time; units of injections•(letters/time)), which is defined as the number of injections multiplied by VRV and describes the quantity of treatment needed to achieve a vision outcome; and 3) vision recovery acceleration (VRA; letters per unit time squared; units of letters/time2), which denotes final VRV minus initial VRV, per unit time, and describes the rate of change in letters gained or lost over time.Conclusion: AVRA stipulates that the ideal VEGF inhibitor to treat nAMD would have a higher positive VRV (more letters gained per unit time), low InjMom (lower treatment burden requiring fewer interventions for a given visual acuity outcome), and VRA approximating zero (indicating stable vision over time). AVRA allows comparisons across different trials to determine the optimal anti-VEGF agent for the treatment of nAMD.Keywords: vascular endothelial growth factor inhibitors, neovascular age-related macular degeneration
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".