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Record W2465272517 · doi:10.1097/phm.0000000000000558

Velopharyngeal Incoordination Caused by Phenytoin-Induced Toxicity

2016· article· en· W2465272517 on OpenAlexaff
Chang Ho Hwang

Bibliographic record

VenueAmerican Journal of Physical Medicine & Rehabilitation · 2016
Typearticle
Languageen
FieldHealth Professions
TopicOral and gingival health research
Canadian institutionsFirst Nations University of Canada
Fundersnot available
KeywordsMedicinePhenytoinDiscontinuationSwallowingDysphagiaAnesthesiaSurgeryEpilepsy

Abstract

fetched live from OpenAlex

Phenytoin induces lymphoid proliferation, resulting in complications that can range from tissue hyperplasia to lymphoma. Some of the complications resolve spontaneously after drug discontinuation. This report describes for the first time a case of dysphagia with lack of velopharyngeal coordination and nasopharyngeal reflux combined with massive palatine tonsillar hypertrophy. The condition did not develop before phenytoin administration, was induced by phenytoin, and spontaneously resolved upon drug discontinuation. The patient was referred for a video-fluoroscopic swallowing study owing to a recurring nasal reflux of foods that had developed since phenytoin administration. The video-fluoroscopic swallowing study revealed incidentally that the large bilateral elongated masses extended downward into the larynx and disturbed velar elevation. This finding was confirmed by computed tomography of the neck, which showed that palatine tonsillar hypertrophy disturbed the laryngopharynx on both sides. The symptoms (sleep apnea and nasal reflux) and the abnormal imaging findings disappeared without surgery approximately 1 month after drug discontinuation. This case suggests that dysphagia related to phenytoin-induced lymphoid hypertrophy may be treated by phenytoin discontinuation followed by a sufficient amount of time to allow symptom resolution rather than by prompt surgery.

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)0.002
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.868
Threshold uncertainty score0.471

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
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 integrity0.0000.001
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 head0.036
GPT teacher head0.452
Teacher spread0.415 · 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 designOther design
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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