Revisiting the Utility of Dilated Fundus Exams in Patients with Neovascular Age-Related Macular Degeneration Receiving Regular Intravitreal Injections
Bibliographic record
Abstract
Abstract: Patients receiving regular anti-vascular endothelial growth factor (anti-VEGF) intravitreal injections for neovascular age-related macular degeneration (nAMD) routinely undergo dilated fundus examination (DFE) at each visit. In this paper, we review the current evidence on the utility of DFE in guiding treatment of established patients with nAMD and discuss novel treatment algorithms that defer DFE assessments with the advent of optical coherence tomography (OCT). We also debate on the value of DFE in the current sanitary context of COVID-19 and highlight important clinical scenarios where it must be performed. Keywords: age-related macular degeneration, dilated fundus exam, intravitreal injections, COVID-19, optical coherence tomography
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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 | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| 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".