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The Status of the Contralateral Ear in Established Unilateral Menière's Disease

2004· article· en· W2019790430 on OpenAlexaff
Ronen Perez, Joseph M. Chen, Julian M. Nedzelski

Bibliographic record

VenueThe Laryngoscope · 2004
Typearticle
Languageen
FieldNeuroscience
TopicVestibular and auditory disorders
Canadian institutionsUniversity of TorontoSunnybrook Health Science Centre
Fundersnot available
KeywordsAudiogramMedicineMeniere's diseaseIncidence (geometry)AudiometryAudiologyHearing lossProspective cohort studySurgeryVertigo

Abstract

fetched live from OpenAlex

OBJECTIVES/HYPOTHESIS: To determine the incidence of measurable audiometric changes in the contralateral ear and clinical bilateral Menière's disease in individuals with longstanding established unilateral Menière's disease. STUDY DESIGN: Analysis of data in an ongoing prospective study. METHODS: One hundred and one patients who were treated with intratympanic gentamicin installation for disabling unilateral Menière's disease were followed up for a minimum of 2 years. The mean follow-up time between the initial diagnosis to the last audiogram conducted was 12 +/- 7 (range 2-45) years, and the mean follow-up between the first and last audiograms conducted in our clinic was 5 +/- 3 (range 2-15) years. The incidence of Menière's disease (clinical diagnosis) as compared with audiometric changes in the contralateral ear was analyzed. RESULTS: Compared with several published reports, the development of bilateral Menière's disease in our series within the described observation period was much lower (5%). The incidence of contralateral isolated hearing loss in the low frequencies was 16% (average threshold of .25 and .5 kHz of 25 dB or more). The time interval between the initial diagnosis and the onset of contralateral findings ranged from 0 to 26 years. CONCLUSION: In our experience, individuals with disabling longstanding unilateral disease are not likely to develop bilateral disease. However, a small but significant percentage of patients have audiometric changes in the low frequencies of the contralateral ear (.25, .5 kHz).

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.484
Threshold uncertainty score0.270

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.011
GPT teacher head0.236
Teacher spread0.225 · 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

Citations37
Published2004
Admission routes1
Has abstractyes

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