MétaCan
Menu
Back to cohort
Record W2067989237 · doi:10.1097/ijg.0b013e318193c472

Glaucoma Aqueous Drainage Device Erosion Repair With Buccal Mucous Membrane Grafts

2009· article· en· W2067989237 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Glaucoma · 2009
Typearticle
Languageen
FieldMedicine
TopicCorneal Surgery and Treatments
Canadian institutionsToronto Western HospitalUniversity of Toronto
Fundersnot available
KeywordsMedicineGlaucomaBuccal administrationSurgeryConjunctivaDrainageGlaucoma surgeryOphthalmologyDentistryPathology

Abstract

fetched live from OpenAlex

PURPOSE: Glaucoma aqueous drainage devices are important and effective in the management of recalcitrant glaucoma. One complication of this procedure is erosion and exposure of the tube or plate. Strategies to re-cover glaucoma aqueous drainage devices in such cases have met with variable success. The majority of these interventions use conjunctiva for superficial coverage. However, conjunctiva can be in limited supply, and subject to reerosion. METHODS: In this report, we discuss the use of oral buccal mucous membrane in combination with a lamellar corneal patch graft for repair of 3 exposed tubes, 2 plates, and a pars plana clip. Mean time to exposure was 4.8 years. Five eyes from 4 patients are presented and the surgical technique is described. RESULTS: Buccal membrane repairs were considered a surgical success in 5 out of 6 cases (83%) with mean follow-up of 1.5 years. CONCLUSIONS: We advocate the use of buccal membrane in the repair of glaucoma aqueous drainage device tube/plate erosions in patients for whom local conjunctiva is of variable quality or limited supply. Advantages of this procedure and tissue option are discussed.

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.

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 score0.084
Threshold uncertainty score0.763

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.012
GPT teacher head0.255
Teacher spread0.243 · 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