Intravitreal anti-vascular endothelial growth factor for the treatment of chronic central serous retinopathy: a meta-analysis of the literature
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
OBJECTIVE: The purpose of this study was to evaluate the role of anti-vascular endothelial growth factor (anti-VEGF) treatment on the functional and structural parameters of chronic central serous retinopathy (CSR). METHODS: PubMed was used to systematically review literature published from 1 January 2009 to 1 July 2022. Studies were included if patients in their cohort had symptoms for more than 3 months, anti-VEGF treatment was provided and the following outcomes were reported: best-corrected visual acuity (BCVA), central macular thickness (CMT) and proportion of subretinal fluid (SRF) resolution. RESULTS: 339 eyes met inclusion criteria with a mean patient age of 45.8±4.9 years. The weighted mean baseline BCVA for the 20 studies was 0.39±0.23 logMAR, which improved to 0.28±0.24 after treatment with anti-VEGF injections (p=0.069). The weighted baseline CMT for the 20 studies decreased from 395.2±52.0 µm to 243.0±41.9 µm (p<0.001). The weighted overall percentage of SRF resolution was 68.4%. CONCLUSION: Anti-VEGF treatment demonstrated significantly decreased macular thickness and resolution of SRF in the treatment of chronic CSR without any reported adverse effects. However, BCVA did not significantly improve with pharmacotherapy.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.007 | 0.009 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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