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Record W2793417084 · doi:10.1080/21695717.2018.1444237

Bilateral asynchronous sudden sensorineural hearing loss and bilateral superior semicircular canal dehiscence** Institution where the work was done

2018· article· en· W2793417084 on OpenAlexaff
Iman Ibrahim, Robert Sweet

Bibliographic record

VenueHearing Balance and Communication · 2018
Typearticle
Languageen
FieldNeuroscience
TopicVestibular and auditory disorders
Canadian institutionsRoyal Victoria HospitalMcGill University Health CentreRoyal Victoria Regional Health CentreMcGill University
Fundersnot available
KeywordsAudiologySemicircular canalDehiscenceMedicineSensorineural hearing lossEar canalHearing lossVestibular systemSurgeryRadiology

Abstract

fetched live from OpenAlex

Objective: To describe a case of bilateral asynchronous sudden sensorineural hearing loss (SSNHL) in a patient with bilateral superior semicircular canal dehiscence (SSCD). Study design: Case report and review of the literature. Results: A 38-year-old male, with prior SSNHL in the left ear, presented with SSNHL in the right ear. The patient had a sense of disequilibrium, but no spinning vertigo. The physical examination revealed only bilateral hearing loss at the audiometric tests and nasal polyposis. The audiogram revealed severe SNHL with fair speech discrimination on the left, and severe-to-moderately severe SNHL with good speech discrimination on the right. Distortion product otoacoustic emissions (DPOAEs) were absent. Vestibular-evoked myogenic potential (VEMP) thresholds were reduced and amplitudes elevated bilaterally. Electronystagmography (ENG) revealed bilateral hypoactive caloric responses. Blood tests were significant for elevated erythrocyte sedimentation rate, C-reactive protein, IgE, and mumps IgG titer. Gadolinium-enhanced magnetic resonance imaging was unremarkable except for sinonasal disease and a suggestion of bilateral SSCD which was confirmed by high-resolution computed tomography. Conclusion: We report a case of a bilateral SSCD associated with bilateral asynchronous SSNHL. SSCD should be considered in the differential diagnosis of SSNHL.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.125
Threshold uncertainty score0.726

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 studies0.0010.001
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 head0.024
GPT teacher head0.255
Teacher spread0.231 · 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

Citations2
Published2018
Admission routes1
Has abstractyes

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