Anesthesia through a Novel Retrobulbar Catheter Provides Perioperative Pain Control for 24 h after Pars Plana Vitrectomy
Bibliographic record
Abstract
PURPOSE: The purpose of this study was to assess the retrobulbar catheter technique for perioperative pain control in pars plana vitrectomy. METHODS: One hundred consecutive pars plana vitrectomies (duration 20-220 minutes) in 88 patients (age range 37-88 years) were performed by the same surgeon under retrobulbar anesthesia using a commercially available retrobulbar needle. Initially, 7 ml of mepivacaine 2% were injected, a 28-gauge flexible catheter was introduced into the retrobulbar space and the needle was withdrawn. The catheter was removed 24 h after surgery. Intraoperatively and postoperatively, the patients were asked to rate pain using a numerical scale from 0 to 10. When pain was more than grade 3, 2 ml of a local anesthetic were re-injected through the catheter. RESULTS: A first re-injection was given intraoperative/y 53.0 +/- 34.6 minutes after the start of surgery during 35/100 procedures, and second and third injections were needed during 12 /100 and 4/100 procedures, respectively. The first postoperative re-injection was given 3.9 +/- 1.5 hours after the start of surgery in 54 procedures, and second and third injections were carried out in 35/100 and 10/100 procedures respectively. CONCLUSIONS: The results suggest that a temporary indwelling retrobulbar catheter allows long-lasting titratable local anesthesia during pars plana vitrectomy and titratable postoperative analgesia.
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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 | 0.000 | 0.001 |
| 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) | 0.001 | 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".