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Record W2731519923 · doi:10.1097/ijg.0000000000000719

Inadvertent Cyclodialysis Cleft and Hypotony Following Ab-Interno Trabeculotomy Using the Trabectome Device Requiring Surgical Repair

2017· article· en· W2731519923 on OpenAlexaff
Thomas A. Berk, Jella An, Iqbal Ike K. Ahmed

Bibliographic record

VenueJournal of Glaucoma · 2017
Typearticle
Languageen
FieldMedicine
TopicRetinal and Macular Surgery
Canadian institutionsPrism Eye InstituteTrillium Health CentreUniversity of TorontoMcGill University
Fundersnot available
KeywordsMedicineOphthalmologyGlaucomaGlaucoma surgeryTrabeculectomySurgery

Abstract

fetched live from OpenAlex

PURPOSE: To report the first case of inadvertent cyclodialysis cleft and hypotony requiring surgical repair following ab-interno trabeculotomy (AIT) using the Trabectome device, and the postoperative clinical results following direct suture cyclopexy. METHODS: A 55-year-old man with hypotonous maculopathy secondary to cyclodialysis cleft inadvertently created 3 years earlier during AIT using the Trabectome device was referred for repair. Direct suture cyclopexy was performed and topical homatropine and dexamethasone drops were prescribed postoperatively. RESULTS: Gonioscopic examination revealed complete cleft closure on postoperative day 1 confirmed by anterior segment optical coherence tomography. At 11 weeks postoperatively, visual acuity had improved from 20/400 to 20/40, with resolution of preoperative macular folds on fundoscopic examination. At 9 months postoperatively, visual acuity had further improved to 20/20 with intraocular pressure stable at 9 mm Hg maintained on travoprost and brimonidine. CONCLUSIONS: Inadvertent cyclodialysis cleft from a malpositioned AIT and resultant hypotony is rare and in this case was successfully treated by direct suture cyclopexy.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.034
GPT teacher head0.322
Teacher spread0.288 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
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

Citations29
Published2017
Admission routes1
Has abstractyes

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