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Record W1992089756 · doi:10.1002/mds.22549

Botulinum toxin in the treatment of lingual movement disorders

2009· article· en· W1992089756 on OpenAlexaff
Neema Kasravi, Mandar Jog

Bibliographic record

VenueMovement Disorders · 2009
Typearticle
Languageen
FieldMedicine
TopicBotulinum Toxin and Related Neurological Disorders
Canadian institutionsCentre for Movement DisordersLondon Health Sciences Centre
Fundersnot available
KeywordsDysphagiaMedicineMovement disordersBotulinum toxinTongueTongue diseaseSurgeryDiseaseInternal medicinePathology

Abstract

fetched live from OpenAlex

Lingual movement disorders are a rare but serious manifestation of neurologic disease, which have the potential to cause significant morbidity. Traditionally, these disorders were treated with pharmacotherapy achieving only limited results. Several case series have demonstrated the effectiveness of Botulinum toxin injection for the management of focal lingual movement disorders; however, apprehension persists regarding intralingual injections due to the risk of dysphagia. Here, we report seven patients with lingual movement disorders treated with intralingual Botox (Allergan product) injections via a novel superior approach into the genioglossus over a period of 3 to 72 months. All patients experienced a marked improvement in their abnormal tongue movements with no substantial bleeding or dysphagia. Lingual Botulinum toxin injection should be considered a safe and viable treatment option for a variety of disorders affecting the tongue.

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 score0.696
Threshold uncertainty score0.943

Codex and Gemma teacher scores by category

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

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 head0.012
GPT teacher head0.269
Teacher spread0.256 · 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

Citations19
Published2009
Admission routes1
Has abstractyes

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