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Record W1980571461 · doi:10.1097/mao.0000000000000751

Vestibular and Balance Impairment Contributes to Cochlear Implant Failure in Children

2015· article· en· W1980571461 on OpenAlexaff
Nikolaus E. Wolter, Karen A. Gordon, Blake C. Papsin, Sharon L. Cushing

Bibliographic record

VenueOtology & Neurotology · 2015
Typearticle
Languageen
FieldNeuroscience
TopicHearing Loss and Rehabilitation
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsMedicineCochlear implantVestibular systemBalance (ability)Balance problemsAudiologyVestibular evoked myogenic potentialPhysical medicine and rehabilitation

Abstract

fetched live from OpenAlex

OBJECTIVE: To determine the role of vestibular and balance dysfunction in children with cochlear implant (CI) failure. STUDY DESIGN: Retrospective case review. SETTING: Tertiary referral center. PATIENTS: Thirty-five children with CI failure were compared to 165 children who did not experience CI failure. MAIN OUTCOME MEASURES: Vestibular function was compared between groups by horizontal canal function (measured by caloric, rotational, video Head Impulse Testing [vHIT]), saccular function (vestibular evoked myogenic potentials [VEMP]), and balance (measured by Bruininks-Oseretsky Test [BOT-2]). RESULTS: Twenty-one patients completed vestibular and balance testing. Patients with CI failure demonstrated significantly more abnormal horizontal canal function than those who did not experience CI failure (caloric: 81 vs. 47%, p = 0.004; rotational/vHIT: 71 vs. 35%, p = 0.001). Absence of bilateral horizontal canal function increased the odds of CI failure 7.6 times. A greater proportion of children with CI failure had abnormal saccular function compared to those without CI failure (81 vs. 46%, p = 0.003). Children with CI failure had significantly worse balance (BOT-2 score: 7.8) than children who did not experience CI failure (BOT-2 score: 12.2) (p < 0.0001). CONCLUSIONS: Vestibular end-organ dysfunction and its resulting balance impairment have been identified as important risk factors for CI failure in children. Early identification and treatment of such impairments may avoid or delay implant failures and prevent children from experiencing periods of sound deprivation that could impact speech and language acquisition.

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)0.001
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 score0.178
Threshold uncertainty score0.577

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.015
GPT teacher head0.270
Teacher spread0.255 · 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

Citations70
Published2015
Admission routes1
Has abstractyes

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