INTRAVITREAL BEVACIZUMAB ALONE VERSUS COMBINED VERTEPORFIN PHOTODYNAMIC THERAPY AND INTRAVITREAL BEVACIZUMAB FOR CHOROIDAL NEOVASCULARIZATION IN AGE-RELATED MACULAR DEGENERATION
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
PURPOSE: The purpose of the study was to compare the mean change in visual acuity between bevacizumab and combined bevacizumab and photodynamic therapy for the treatment of choroidal neovascularization from age-related macular degeneration after 12 months of follow-up. METHODS: This study included a retrospective cohort of patients with untreated choroidal neovascularization. The generalized estimating equation was used to account for the correlation between eyes and to construct multivariate models to control for confounding factors of visual acuity change. RESULTS: One hundred and thirty-nine eyes treated with bevacizumab were compared with 236 eyes that received bevacizumab and photodynamic therapy (combination treatment). The monotherapy eyes showed an improvement of 0.101 +/- 0.619 logarithm of minimum angle of resolution units (5.05 letters) after a mean follow-up of 409.6 days versus 0.096 +/- 0.611 (4.8 letters) after a mean follow-up of 416.7 days with combination therapy; there was no difference between the groups (P = 0.970). The monotherapy eyes received 3.32 +/- 1.71 injections versus 3.14 +/- 1.52 injections in the combination therapy group (P = 0.665). The multivariate analysis did not show any difference between groups at the end of the study period in terms of visual improvement, worsening, stabilization, or the number of bevacizumab injections used. CONCLUSION: Long-term visual outcomes for the treatment of choroidal neovascularization in age-related macular degeneration are not improved with the addition of photodynamic therapy to bevacizumab nor are fewer injections needed.
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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