MétaCan
Menu
Back to cohort
Record W2072691135 · doi:10.1097/dbp.0b013e3181976a6c

Vestibular Pathology Presenting as Behavioral Problems in a Child With Down Syndrome: A Case Report

2009· article· en· W2072691135 on OpenAlexaff
Warren K. Yunker, Scott G. Walen, Elizabeth J. Lange

Bibliographic record

VenueJournal of Developmental & Behavioral Pediatrics · 2009
Typearticle
Languageen
FieldNeuroscience
TopicVestibular and auditory disorders
Canadian institutionsÉlisabeth Bruyère HospitalUniversity of Calgary
Fundersnot available
KeywordsVertigoOscillopsiaSemicircular canalMedicineAudiologyConductive hearing lossDehiscenceHearing lossVestibular systemDifferential diagnosisSurgeryPathology

Abstract

fetched live from OpenAlex

Here we present a case of superior semicircular canal dehiscence (SSCD) in a non-verbal 17-year-old male patient with trisomy 21 that presented with behavioral problems, instead of the more typical symptoms of episodic noise-induced vertigo. SSCD syndrome is characterized by sound-, or pressure-induced vertigo. Patients often complain of vertigo or oscillopsia evoked by loud noises, which may be either external sounds or those elicited by the patients themselves when they are speaking. In cases of SSCD, auditory testing will typically reveal a conductive hearing loss on the affected side while high-resolution temporal bone computed-tomography will demonstrate bony dehiscence overlying the ipsilateral superior semicircular canal. Here we present a report of SSCD in a patient with Down Syndrome who was without speech and reacted to noise stimulation with behavioral outbursts. In this case, simple modifications, such as noise avoidance and hearing protection were able to effect positive changes in behavior and improve social interactions. This case underscores the importance of a broad differential diagnosis, and the need to consider alternate presentations, in children with Down Syndrome or any child who is otherwise unable to express himself.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.107
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.290
Teacher spread0.266 · 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.

Study designCase report
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

Citations3
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Developmental & Behavioral PediatricsSame topicVestibular and auditory disordersFrench-language works237,207