Aflibercept 2 mg for Neovascular Age-Related Macular Degeneration: XTEND at 3 Years
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Introduction: Long-term, global data evaluating intravitreal aflibercept (IVT-AFL) 2 mg for treatment of neovascular age-related macular degeneration (nAMD) in real-world practice are needed. This study investigated the long-term, real-world effectiveness and safety of IVT-AFL 2 mg in patients with nAMD. METHODS: XTEND was a multicenter, observational, prospective study. Enrollment was conducted between May 2019 and May 2020; the patient follow-up period was 36 months. Treatment-naïve patients were treated with IVT-AFL 2 mg (fixed dosing or treat-and-extend [T&E]) according to the local label; for the T&E regimen, treatment intervals could be extended according to the national label (either European Medicines Agency [EMA]-aligned or non-EMA-aligned). RESULTS: Overall, 1,483 patients across 17 countries were treated with IVT-AFL 2 mg; mean ± standard deviation (SD) age was 78.8 ± 8.5 years; 60.4% were female. Overall, 62.6% of patients completed the 36-month follow-up visit. The mean (95% confidence interval [CI]) changes in best-corrected visual acuity from baseline were +4.6 (3.7, 5.4), +2.3 (1.3, 3.3), and +0.9 (-0.2, 1.9) at months 12, 24, and 36, respectively. The mean (95% CI) changes in central subfield thickness from baseline were -106 (-114, -99) μm, -109 (-117, -102) μm, and -110 (-118, -103) μm at months 12, 24, and 36, respectively. The mean ± SD numbers of injections from baseline to months 12, 24, and 36 were 7.7 ± 2.7, 11.3 ± 5.3, and 13.7 ± 7.5, respectively. No new safety concerns were identified. CONCLUSION: This study demonstrates that improvements with IVT-AFL 2 mg were maintained through month 36, suggesting that long-term durability of vision is achievable in patients with treatment-naïve nAMD in real-world practice. .
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it