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Record W2746078489 · doi:10.5152/iao.2017.3764

Eustachian Tube Obliteration and its Effect on Rhinoliquorrhea in Translabyrinthine Vestibular Schwannoma Excision

2017· article· en· W2746078489 on OpenAlexaff
Christophe Moderie, Anastasios Maniakas, Robert Moumdjian, Salman F. Alhabib, Issam Saliba

Bibliographic record

VenueThe Journal of International Advanced Otology · 2017
Typearticle
Languageen
FieldMedicine
TopicEar Surgery and Otitis Media
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsMedicineTranslabyrinthine approachEustachian tubeSchwannomaSurgeryContext (archaeology)Vestibular systemProspective cohort studyCerebellopontine angleRadiologyMagnetic resonance imagingMiddle ear

Abstract

fetched live from OpenAlex

OBJECTIVE: Rhinoliquorrhea is defined as a cerebrospinal fluid leakage from the nose. Our objective in this study is to determine the reduction of rhinoliquorrhea rates by Eustachian tube (ET) obliteration in the context of a translabyrinthine approach performed following vestibular schwannoma (VS) excision. MATERIALS AND METHODS: This is a prospective study achieved in a tertiary-care center where the chart review revealed 94 VS operated by the translabyrinthine approach between 2009 and 2015. There were 40 males and 54 females aged from 28-76 years. The only exclusion criterion was a previous history of cranial surgery. ET obliteration was systematically executed when the petrous apex pneumatization level was at least 2 of 4. Our main outcome measure was the development of rhinoliquorrhea. RESULTS: Eighty-eight patients underwent ET obliteration and were followed for an average of 2.6±1.2 years. Rhinoliquorrhea was reported in 1.14% of the patients having had an ET obliteration. When compared to our previous sample of patients operated with a translabyrinthine approach, it represents a reduction of 84%. CONCLUSION: Obliteration of the ET is a fast and simple procedure that reduces the rate of rhinoliquorrhea. We therefore recommend its use, specifically in cases of petrous apex pneumatization levels 2-4.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.534
Threshold uncertainty score0.268

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 integrity0.0000.000
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 head0.012
GPT teacher head0.312
Teacher spread0.299 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2017
Admission routes1
Has abstractyes

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