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Record W1996038769 · doi:10.1097/ico.0b013e3181dea7f0

Long-Term Follow-Up of Pterygium Surgery Using a Conjunctival Autograft and Tissucol

2010· article· en· W1996038769 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

VenueCornea · 2010
Typearticle
Languageen
FieldMedicine
TopicCorneal Surgery and Treatments
Canadian institutionsInstitute of Infection and Immunity
Fundersnot available
KeywordsMedicinePterygiumFibrin glueSurgeryRetrospective cohort study

Abstract

fetched live from OpenAlex

PURPOSE: To evaluate the rate of recurrence and to detect pre- or postoperative complications in pterygium surgery using fibrin glue to attach the conjunctival autograft. METHODS: Retrospective case series. In a period of 20 months, 35 patients were operated on for a pterygium using a conjunctival autograft, of which 7 patients were operated (20%) for a recurrent pterygium. The autograft was glued with Tissucol Duo 500, a human tissue glue. Follow-up was at least 1 year. RESULTS: Mean age was 50.4 years (range, 23-80 years), 18 women and 17 men. Success rate was 97.1%. In 1 patient with a primary pterygium, the lesion recurred after 4 months (2.9%). One autograft was lost on the first postoperative day. No other pre- or postoperative problems were encountered. CONCLUSIONS: The use of Tissucol fibrin glue seems to be a safe, easy, and effective technique for attaching the conjunctival autograft in pterygium surgery. The recurrence rate of the procedure is low.

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 score0.035
Threshold uncertainty score0.550

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 head0.039
GPT teacher head0.290
Teacher spread0.251 · 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