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Record W2500827488 · doi:10.1002/mus.25258

Systematic analysis of clinical deficits in unilateral hypoglossal nerve palsy

2016· article· en· W2500827488 on OpenAlexaff
Yeyao Joe Yu, Jodi Warman‐Chardon, Pierre R. Bourque

Bibliographic record

VenueMuscle & Nerve · 2016
Typearticle
Languageen
FieldHealth Professions
TopicDysphagia Assessment and Management
Canadian institutionsChildren's Hospital of Eastern OntarioOttawa HospitalUniversity of Ottawa
Fundersnot available
KeywordsTongueParesisMedicineDysphagiaSwallowingHypoglossal nerveDysarthriaPalsyAnatomyAudiologySurgery

Abstract

fetched live from OpenAlex

INTRODUCTION: The clinical characteristics of unilateral hypoglossal neuropathy have not been systematically analyzed. METHODS: We documented subjective abnormalities of speech and swallowing, and photographed 9 specific tongue movements and positions. Objective deficits were scored independently by 2 examiners. RESULTS: Eight patients were analyzed. Some degree of dysarthria and dysphagia was noticed by 7 and 8 patients, respectively, mostly resolving within a few months. In all subjects, there was contralateral deviation of the tongue at rest and ipsilateral deviation upon forward protrusion. Furthermore, 7 of 8 patients had deficits in using the tongue to indent the ipsilateral cheek and cover the upper lip. CONCLUSIONS: Unilateral hypoglossal nerve palsy produces mostly subtle and transient patient symptoms, even when complete. Beyond the classic sign of ipsilateral deviation on protrusion, reliable signs are contralateral deviation at rest, paresis of ipsilateral movement inside the mouth, and paresis of elevation of the tongue tip. Muscle Nerve 54: 1055-1058, 2016.

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)0.003
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 score0.023
Threshold uncertainty score0.593

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.088
GPT teacher head0.440
Teacher spread0.352 · 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

Citations3
Published2016
Admission routes1
Has abstractyes

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