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Record W2023167805 · doi:10.3109/00207454.2010.515047

An Open-Label, Sequential Dose-Escalation, Safety, and Tolerability Study of Rimabotulinumtoxinb in Subjects With Cervical Dystonia

2010· article· en· W2023167805 on OpenAlexaboutno aff
Robert Chinnapongse, Eric J. Pappert, Marian L. Evatt, Alan Freeman, William Birmingham

Bibliographic record

VenueInternational Journal of Neuroscience · 2010
Typearticle
Languageen
FieldMedicine
TopicBotulinum Toxin and Related Neurological Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsCervical dystoniaTolerabilityMedicineAnesthesiaAdverse effectDystoniaOpen labelPsychologyInternal medicinePsychiatryBotulinum toxin

Abstract

fetched live from OpenAlex

OBJECTIVES: Evaluate the safety and efficacy of a sequential dose escalation of rimabotulinumtoxinB (BoNT-B) in cervical dystonia (CD) subjects. METHODS: This multicenter, open-label, within-subject, sequential dose-escalation study (BoNT-B dosed at 10,000, 12,500, and 15,000 Units) evaluated subjects over each phase of treatment at preinjection and at periodic intervals postinjection. Adverse events, vital signs, and laboratory results were recorded. Efficacy measures included the Toronto Western Spasmodic Torticollis Rating Scale (TWSTRS) and three visual analog scales (VASs). RESULTS: 119 out of 145 CD subjects received all three doses in sequence. Dry mouth and dysphagia were the most common adverse events, and both decreased in frequency by the final injection, despite the increasing doses of the escalation. TWSTRS-Total and subscale scores demonstrated significant improvements following all doses at the week 2, 4, 8, and 12 assessments, with the exception of disability and pain at week 12 with the lowest dose. All VAS scores demonstrated similar improvements following all doses. The mean number of weeks in each phase of the study was 12.1 weeks (10,000 Units), 12.9 weeks (12,500 Units), and 13.9 weeks (15,000 Units). CONCLUSION: BoNT-B was well tolerated and efficacious at 10,000, 12,500, and 15,000 Units in this within-subject, sequential dose-escalation study in CD subjects.

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)0.001
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 score0.655
Threshold uncertainty score0.305

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0010.000
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 head0.035
GPT teacher head0.351
Teacher spread0.316 · 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

Citations17
Published2010
Admission routes1
Has abstractyes

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