PREOPERATIVE GAS FOR PARS PLANA VITRECTOMY: A SURGICAL TECHNIQUE FOR REPAIR OF RHEGMATOGENOUS RETINAL DETACHMENTS WITH MULTIPLE, LARGE, OR INFERIOR BREAKS
Bibliographic record
Abstract
PURPOSE: To describe the role of preoperative gas for pars plana vitrectomy (PGP) as an adjunct to surgical repair of rhegmatogenous retinal detachment (RRD). METHODS: This is a retrospective consecutive case series of all rhegmatogenous retinal detachments with multiple breaks in more than one quadrant, large breaks extending greater than one clock hour, and/or inferior breaks requiring PPV, who received intravitreal injection of sulfur hexafluoride (SF 6 ) or perfluoropropane (C 3 F 8 ) 1-2 weeks before PPV between 2016 and 2020 at a tertiary care center. RESULTS: A total of 109 eyes underwent the PGP technique, 73% of which had macular involvement. The rhegmatogenous retinal detachments on average involved 5.5 (SD 2.1) clock hours with inferior retinal breaks in 51%. Based on clinical examination, subretinal fluid was noted to be dissipated in parts of the detached retina before PPV in 57% of cases. The use of perfluorocarbon heavy liquid or posterior drainage retinotomy was required in 16% of cases. A 95% primary anatomical success rate was achieved over the median 177 (interquartile range 105-526) follow-up days. A final visual acuity of 20/50 or better was achieved in 65%. CONCLUSION: PGP as an adjunct to PPV may facilitate ease of surgery, as well as anatomical and functional success for rhegmatogenous retinal detachments with multiple, large, and/or inferior breaks.
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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 | 0.001 |
| 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".