Risk of ptosis following eyelid speculum assisted intravitreal anti-VEGF injections
Bibliographic record
Abstract
PURPOSE: Intravitreal injections are essential for treating retinal diseases. This study aims to assess the impact of repeated intravitreal anti-VEGF injections using an eyelid speculum on the risk of ptosis development. METHODS: This single-center, retrospective chart review included 114 patients (228 eyes) who received at least three unilateral intravitreal anti-VEGF injections. Patient demographics, clinical characteristics, and MRD1 and MRD2 of the injected and the fellow eyes were analyzed. A multivariate linear regression model was constructed to identify predictors of MRD1 in the injected eye. RESULTS: The study cohort had a mean age of 75.18 ± 0.98 years, with 57% female patients. On average, patients received 16.92 ± 1.18 injections. At the final follow-up, no significant difference was observed in mean MRD1 between injected and fellow eyes (2.85 ± 0.11 mm vs. 2.90 ± 0.11 mm, p = 0.445). Multivariate regression analysis identified MRD1 of the fellow eye as the only significant predictor of MRD1 in the injected eye (β = 0.769, p < 0.001). CONCLUSION: The repeated use of an eyelid speculum during intravitreal anti-VEGF injections does not significantly contribute to ptosis development. MRD1 tends to be similar between the injected and non-injected eye, suggesting that intrinsic factors may play a more crucial role in determining eyelid position than the mechanical effects of the procedure.
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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 | 0.001 |
| 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".