Sustained disease control with aflibercept 8 mg: a new benchmark in the management of retinal neovascular diseases
Bibliographic record
Abstract
Retinal neovascular diseases, such as neovascular age-related macular degeneration (nAMD), diabetic retinopathy (DR), diabetic macular oedema (DMO), and retinal vein occlusion (RVO), are major causes of visual impairment worldwide [ 1 , 2 , 3 ]. Vascular endothelial growth factor (VEGF) is considered critical in the pathophysiology of these conditions and randomized trials have established the efficacy and safety of agents with an anti-VEGF mechanism of action [ 4 ]. Extensive real-world studies of ranibizumab or aflibercept 2 mg have also demonstrated that effectiveness in clinical practice is possible [ 5 , 6 , 7 , 8 ], including maintenance of vision gains through 4 years with a proactive treat-and-extend (T&E) regimen in patients with nAMD [ 5 ], and vision gains over 3 years with a meaningful reduction in treatment burden after early, consistent dosing in patients with DMO [ 6 ].
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".