EFFECT OF BROMFENAC ON PAIN RELATED TO INTRAVITREAL INJECTIONS
Bibliographic record
Abstract
PURPOSE: To evaluate the analgesic effect of bromfenac, a topically administered nonsteroidal antiinflammatory agent, in patients undergoing intravitreal injections (IVIs) of anti-vascular endothelial growth factor agents. METHODS: A single center, prospective, randomized, double-blind, placebo-controlled, cross over interventional study. Patients scheduled to undergo IVI of anti-vascular endothelial growth factor were randomized to receive topical bromfenac or placebo before IVI. Pain perception was assessed using the short form of the McGill Pain Questionnaire. Pain intensity was evaluated with the visual analog scale, the main component of the short form of the McGill Pain Questionnaire, and the Present Pain Intensity scores immediately and 6 hours postinjection. RESULTS: Sixty-five patients (65 eyes) were enrolled in the study. Immediately after IVI, pain perception was statistically significant lower in patients treated with bromfenac compared with placebo as assessed by the visual analog scale pain score and the main component of the short form of the McGill Pain Questionnaire (P = 0.002 and 0.001, respectively). At 6 hours postIVI, pain was statistically significant lower in patients treated with bromfenac, according to the visual analog scale pain score, the main component of the short form of the McGill Pain Questionnaire, and the Present Pain Intensity score (P < 0.001, <0.001, and P = 0.001, respectively). Multivariable regression analysis revealed that pain perception, as evaluated with the visual analog scale pain score immediately after IVI, was significantly lower in patients of older age, female patients and those with higher number of previous injections. Immediately after IVI, bromfenac seemed to be more effective in younger patients and in those who had already undergone an amount of injections. CONCLUSION: Topical instillation of bromfenac significantly reduced the IVI-related pain immediately after and 6 hours postinjection.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".