OUTCOMES OF ANTI-VEGF THERAPY IN CHOROIDAL NEOVASCULARIZATION AFTER MACULAR SURGERY
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Bibliographic record
Abstract
PURPOSE: To report treatment outcomes of anti-vascular endothelial growth factor (VEGF) therapy in choroidal neovascularization (CNV) presenting after macular surgery. METHODS: Retrospective analysis of 7 eyes of 7 patients, who were diagnosed to have CNV after macular surgery and were treated with anti-vascular endothelial growth factor therapy. Collected data included demographic details; history of present illness; surgical procedure; and clinical examination including visual acuity at presentation and follow-up with imaging and management. Main outcome measures were resolution of CNV activity at the last follow-up. Secondary outcomes included change in visual acuity at final follow-up from baseline, number of injections, treatment free interval, and adverse events. RESULTS: Seven eyes of 7 patients (2 females and 5 males), which underwent macular surgery (4 macular hole repairs and 3 epiretinal membrane (ERM) removal), were included in this study. Two eyes had drusen at the time of surgery; however, five eyes had no preexisting conditions. Mean interval between surgery and CNV development was 21.07 ± 38.55 months (range, 2 months-9 years). All patients had undergone intravitreal anti-vascular endothelial growth factor injections (range, 2-15; mean number: 5.85) with one eye requiring additional photodynamic therapy (PDT) and focal laser. Visual acuity was unchanged with inactive CNV at the last visit in all eyes after anti-vascular endothelial growth factor therapy. The mean follow-up duration after the development of CNV was 35.5 months (range, 6.5 months-8 years). CONCLUSION: Choroidal neovascularization occurring after otherwise successful macular surgery is uncommon with unknown predisposing factors. This entity appears to have poor visual outcome with currently available anti-vascular endothelial growth factor therapy.
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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) | 0.001 | 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 it