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Record W4295425991 · doi:10.1097/iop.0000000000002262

Severe Orbital Congestion After a Brow Lift Due to an Osteodural Arteriovenous Fistula

2022· article· en· W4295425991 on OpenAlexaff
Natalie Brossard-Barbosa, Timo Krings, Edward Margolin

Bibliographic record

VenueOphthalmic Plastic and Reconstructive Surgery · 2022
Typearticle
Languageen
FieldMedicine
TopicOphthalmology and Eye Disorders
Canadian institutionsSNC-Lavalin (Canada)University of Toronto
Fundersnot available
KeywordsMedicineDiplopiaSurgeryOrbit (dynamics)Lift (data mining)Venous congestionFistula

Abstract

fetched live from OpenAlex

The authors describe a 73-year-old woman who developed worsening proptosis, binocular diplopia, and periorbital pain shortly after undergoing an open subperiosteal brow lift procedure. She was found to have a pre-existing osteodural fistula (ODF) within left frontal bone, which was draining through supraorbital vein (SOV) in cavernous sinus. When SOV was inadvertently severed during a brow lift, blood from the fistula was now redirected in the orbit. This is the first report of a decompensated ODF after a brow lift procedure. It underscores the complexity of orbital venous drainage and the importance in preserving the supraorbital and supratrochlear veins during brow lift.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.157
Threshold uncertainty score1.000

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)0.0020.000

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 head0.012
GPT teacher head0.235
Teacher spread0.223 · 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.

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

Citations1
Published2022
Admission routes1
Has abstractyes

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