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A NOVEL TECHNIQUE FOR SECURING SCLEROTOMIES IN 20-GAUGE TRANSCONJUNCTIVAL PARS PLANA VITRECTOMY: Surgical Outcomes and Complications in 529 Consecutive Cases.

2016· article· en· W922920436 on OpenAlexaff
Marwan A. Abouammoh, Mohammad A. Abouammoh, Jeffrey Gale, J. Fernando Arévalo, Sanjay Sharma

Bibliographic record

VenuePubMed · 2016
Typearticle
Languageen
FieldMedicine
TopicRetinal and Macular Surgery
Canadian institutionsQueen's University
Fundersnot available
KeywordsPars planaVitrectomyMedicineOphthalmologySurgeryVisual acuity

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.033
Threshold uncertainty score0.387

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.048
GPT teacher head0.275
Teacher spread0.227 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations4
Published2016
Admission routes1
Has abstractyes

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