MétaCan
Menu
Back to cohort
Record W2540283488 · doi:10.1177/014556131609500905

Onodi Cell Mucocele: Case Report and Review of the Literature

2016· review· en· W2540283488 on OpenAlexaff
John M. Lee, Michael Au

Bibliographic record

VenueEar Nose & Throat Journal · 2016
Typereview
Languageen
FieldMedicine
TopicHead and Neck Surgical Oncology
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMucoceleMedicineDecompressionRadiologyDifferential diagnosisSurgeryOptic neuropathyOptic nerveOphthalmologyPathology

Abstract

fetched live from OpenAlex

Onodi cell mucoceles are rare entities that can cause devastating ocular complications if not treated promptly. Delays in the diagnosis are possible because of the wide range of differential diagnoses of unilateral retrobulbar optic neuropathy. We describe a new case of Onodi cell mucocele in a 39-year-old woman, and we present a comprehensive review of the literature on this entity. To the best of our knowledge, no review of Onodi cell mucoceles has been previously published. Our review found that 69% of patients with an Onodi cell mucocele experienced an improvement in vision after surgical decompression. The vast majority of these patients underwent endoscopic decompression; the timing of surgical decompression did not appear to affect outcomes in terms of vision. Onodi cell mucocele requires a high degree of clinical suspicion for diagnosis and a multidisciplinary approach to management that involves primary care physicians, ophthalmologists, and otolaryngologists. Early surgical treatment via an endoscopic approach is recommended for most patients, regardless of the duration of their ophthalmologic signs and symptoms.

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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.009
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0090.006
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.035
GPT teacher head0.368
Teacher spread0.333 · 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
GenreReview

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

Citations17
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueEar Nose & Throat JournalSame topicHead and Neck Surgical OncologyFrench-language works237,207