BEVACIZUMAB (AVASTIN) AND RANIBIZUMAB (LUCENTIS) FOR CHOROIDAL NEOVASCULARIZATION IN MULTIFOCAL CHOROIDITIS
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
BACKGROUND: Multifocal choroiditis (MFC) is an inflammatory condition, occasionally associated with choroidal neovascularization (CNV). Bevacizumab (Avastin) and ranibizumab (Lucentis) are therapies that target vascular endothelial growth factor. Bevacizumab and ranibizumab have been used successfully to treat CNV in age-related and myopic macular degeneration. PURPOSE: : To describe the treatment of MFC-associated CNV with intravitreal bevacizumab and/or ranibizumab. DESIGN: Retrospective interventional case series. PARTICIPANTS: Six eyes of five patients with MFC-associated CNV were treated with intravitreal bevacizumab and/or ranibizumab. MAIN OUTCOME MEASURES: Visual acuity at 1, 3, and 6 months after the initial injection. RESULTS: Previous therapies (number of eyes treated) included sub-Tenon's corticosteroids (2), intravitreal corticosteroids (1), photodynamic therapy (1), and thermal laser (1). The mean number (range) of antivascular endothelial growth factor injections per eye was 2.3 (1-6). The mean duration (range) of follow-up per patient was 41.5 (25-69) weeks. Five of six eyes improved to 20/30 acuity or better at 6 months. One eye suffered a subfoveal rip of the retinal pigment epithelium with 20/400 acuity. There was a qualitative decrease in clinical and angiographic evidence of CNV. CONCLUSIONS: Bevacizumab and ranibizumab were effective at improving visual acuity over 6 months in a small series of patients with MFC-associated CNV. Tears of the retinal pigment epithelium may occur after intravitreal antivascular endothelial growth factor therapy in MFC-associated CNV.
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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) | 0.000 | 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