Long-Term Efficacy of a Treat-and-Extend Regimen with Ranibizumab in Patients with Neovascular Age-Related Macular Disease: An Open-Label 12-Month Extension to the CANTREAT Study
Bibliographic record
Abstract
INTRODUCTION: The objective of this study is to assess the long-term effectiveness of a treat-and-extend (T&E) anti-vascular endothelial growth factor regimen in patients with neovascular age-related macular degeneration who remain on T&E and those switched from once-monthly (OM) dosing to T&E (OM-T&E). METHODS: In this 12-month extension of the 2-year CANTREAT study, patients received intravitreal ranibizumab 0.5 mg in a T&E regimen. Main outcome measures included mean change in best-corrected visual acuity (BCVA) from baseline and from month 24 to month 36; percentages of patients who gained ≥5, ≥10, or ≥15 Early Treatment of Diabetic Retinopathy Study (ETDRS) letters or lost ≥5, ≥10, or ≥15 letters from baseline and from month 24 to month 36; and number of injections administered from baseline and from month 24 to month 36 for both groups. RESULTS: Of the 139 patients (73 T&E, 66 OM-T&E) in the extension, 121 (68 T&E, 53 OM-T&E) completed 36 months. Mean (standard deviation [SD]) BCVA changes from baseline to the extension last visit (month 33-36) were +6.6 (11.4) letters in the T&E group and +4.8 (14.3) letters in the OM-T&E group, representing maintenance of 24-month gains. The mean (SD) numbers of injections during the extension were 7.3 (2.7) for T&E and 7.1 (2.8) for OM-T&E. DISCUSSION/CONCLUSION: These findings suggest that after 36 months of treatment, the mean BCVA improvement achieved at 24 months is maintained for both the patients exclusively treated with the T&E regimen and those that switched to T&E after 24 months in the OM regimen.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 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".