XTEND: Two-Year Results from a Global Observational Study Investigating Proactive Dosing of Intravitreal Aflibercept in Neovascular Age-Related Macular Degeneration
Bibliographic record
Abstract
INTRODUCTION: XTEND (NCT03939767) is a multicenter, observational, prospective study of patients with treatment-naïve neovascular age-related macular degeneration (nAMD) in routine clinical practice. The study aims to examine treatment outcomes of proactive intravitreal aflibercept (IVT-AFL) treatment regimens (fixed dosing or treat-and-extend) according to local marketing labels. METHODS: Study eyes received IVT-AFL injections as per the local label. The mean changes in best-corrected visual acuity (BCVA) and central subfield thickness (CST) from baseline to month (M) 12 and M24 were measured and stratified by baseline factors. Treatment exposure and safety data were evaluated. Statistical analysis was descriptive. RESULTS: Overall, 1466 patients from 17 countries were treated. For the overall population, the mean ± standard deviation (SD) age was 78.7 ± 8.5 (range 50-100) years, and 891 patients (60.8%) were female. The mean ± SD baseline BCVA was 54.3 ± 20.3 letters and CST was 374 ± 126 µm. At M12 and M24, mean (95% confidence interval [CI]) BCVA change was + 4.3 (3.4, 5.3) and + 2.3 (1.3, 3.3) letters, respectively. Mean (95% CI) CST was - 106 (- 114, - 99) μm and - 109 (- 117, - 102) μm at M12 and M24, respectively. At M24, 41.5% of patients had a BCVA ≥ 70 letters. Patients received a mean ± SD of 7.7 ± 2.7 injections by M12 and 10.8 ± 5.0 injections by M24 (3.1 injections between M12 and M24). Adverse events were consistent with the known safety profile of IVT-AFL. CONCLUSION: The 24-month results indicate that, in routine clinical practice, a proactive IVT-AFL regimen achieves functional improvements in patients with treatment-naïve nAMD. The proportion of patients achieving ≥ 70 letters at M24 increased, and patients with baseline BCVA ≥ 70 letters maintained vision regardless of the followed IVT-AFL label. TRIAL REGISTRATION: ClinicalTrials.gov identifier: NCT03939767. A video abstract is available for this article. Supplementary file2 (MP4 364624 KB).
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How this classification was reachedexpand
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) | 0.000 | 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 teacher head, 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".