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Record W2329907898 · doi:10.1097/icb.0b013e3181ff0937

FIBRIN SEALANT IN THE TREATMENT OF RETINAL DETACHMENT IN MORNING GLORY SYNDROME

2010· article· en· W2329907898 on OpenAlexaff
Marc Saab, Ghassan P Cordahi, Flávio Rezende

Bibliographic record

VenueRetinal Cases & Brief Reports · 2010
Typearticle
Languageen
FieldMedicine
TopicRetinal and Macular Surgery
Canadian institutionsECW Press (Canada)Hôpital Maisonneuve-Rosemont
Fundersnot available
KeywordsMedicineRetinal detachmentPars planaVitrectomyOphthalmologyFibrinMorningVisual acuityRetinalSurgeryInternal medicine

Abstract

fetched live from OpenAlex

PURPOSE: To report the usage of fibrin sealant in the treatment of retinal detachment in morning glory syndrome. METHODS: A case report of an 8-year-old boy with a recent, macula-off, inferior, bullous retinal detachment associated to his morning glory syndrome that was first treated by a pneumatic retinopexy. The following day, his examination revealed a total retinal detachment and subretinal gas. The patient underwent a 25-gauge pars plana vitrectomy, incomplete peeling of the glial tuft, 360° laser photocoagulation around the peripapillary staphyloma, 20% perfluoropropane endotamponade, and fibrin sealant injection to temporarily plug the slitlike retinal break visualized on the inferior border of the peripapillary staphyloma. RESULTS: Complete reattachment of the retina persisted after 6 months of follow-up with slight improvement in visual acuity noted by the patient. CONCLUSION: The authors believe that the usage of fibrin sealant seems to be a useful alternative in cases of retinal detachment related to morning glory syndrome with deep posterior peripapillary staphyloma, especially when persistent residual traction is suspected.

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)0.001
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 score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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 integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.018
GPT teacher head0.289
Teacher spread0.271 · 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

Citations4
Published2010
Admission routes1
Has abstractyes

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