A NOVEL TECHNIQUE FOR SECURING SCLEROTOMIES IN 20-GAUGE TRANSCONJUNCTIVAL PARS PLANA VITRECTOMY
Bibliographic record
Abstract
In Brief Purpose: To describe a novel technique for securing sclerotomies after 20-gauge transconjunctival pars plana vitrectomy and determine the efficacy, and short-term safety in various vitreoretinal diseases. Methods: Retrospective chart review of consecutive cases that underwent 20-gauge transconjunctival pars plana vitrectomy with sclerotomy hydration was conducted. The main outcome measures included intraocular pressure, intraocular gas bubble size in postoperative Day 1, and early postoperative complications. Secondary outcomes included postoperative visual acuity at 1-month postoperative visit. Results: Five hundred and twenty-nine eyes were evaluated. Mean gas/air fill and mean intraocular pressure were 75.1% and 14.8 mmHg on postoperative Day 1. Seven eyes (1.32%) had hypotony (intraocular pressure <6 mmHg) on Day 1, which normalized in all eyes by Day 7 (P = 0.0083). On postoperative Day 7, mean intraocular pressure was 17.1 mmHg. Hypotony was associated with a preoperative diagnosis of retinal detachment (P = 0.022), and silicone oil tamponade (P = 0.017). Mean best corrected visual acuity was 20/320 preoperatively and 20/125 postoperatively at 1-month follow-up visit (P < 0.0001). Twenty-seven cases had intraoperative or postoperative complications (5.1%). Rate of complications was not associated with the type of tamponade (P = 0.076). Conclusion: Twenty-gauge transconjunctival sutureless vitrectomy with sclerotomy hydration appears to be safe with a low rate of hypotony and complications, and good final visual outcome. This report of 529 eyes operated using 20-gauge pars plana vitrectomy with hydration of the sclerotomy sidewall, proves that sutureless 20-gauge vitrectomy is a safe, minimally invasive procedure with low rate of complications.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".