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Record W2076014070 · doi:10.3109/00207451003668408

RimabotulinumtoxinB Effects on Pain Associated with Cervical Dystonia: Results of Placebo and Comparator-Controlled Studies

2010· article· en· W2076014070 on OpenAlexaboutno aff
Mark Lew, Robert Chinnapongse, Yuxin Zhang, Meg Corliss

Bibliographic record

VenueInternational Journal of Neuroscience · 2010
Typearticle
Languageen
FieldMedicine
TopicBotulinum Toxin and Related Neurological Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsPlaceboSpasmodic TorticollisCervical dystoniaBotulinum toxinMedicineRating scaleAnesthesiaClinical trialInternal medicineTorticollisSurgeryPsychology

Abstract

fetched live from OpenAlex

Response rate (RR) and mean improvement (MI) in the pain subscale of the Toronto Western Spasmodic Torticollis Rating Scale (TWSTRS-PS) from two placebo-controlled studies and one comparator-controlled study were evaluated to examine the effect of rimabotulinumtoxinB (BoNT-B) on cervical dystonia (CD) pain. Subjects receiving either of two doses of BoNT-B in the AN072-301 trial had an RR of 66% and 58% compared with 23% for placebo (p < .05). Subjects receiving BoNT-B in the AN072-302 trial had an RR of 49% compared with 19% for placebo (p < .05). Subjects receiving BoNT-B in the AN072-402 comparator-controlled trial had a significantly higher RR than those treated with BoNT-A (59% vs. 36%; p < .05). Additionally, subjects treated with BoNT-B in these placebo-controlled trials had significantly larger MIs than those treated with placebo (4.3 and 3.7 vs. 0.5 for AN072-301 and 3.6 vs. 0.1 for AN072-302; p < .05). Subjects treated with BoNT-B in the comparator-controlled trial demonstrated a numerically larger MI than those treated with BoNT-A (2.6 vs. 1.8; p = .1651). These results support the consideration of BoNT-B as an effective first-line botulinum toxin treatment for patients with CD who list pain as a primary complaint.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.014
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.075

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.012
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0040.004
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.021
GPT teacher head0.312
Teacher spread0.291 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
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

Citations22
Published2010
Admission routes1
Has abstractyes

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