Cervical dystonia and pain: characteristics and treatment patterns from CD PROBE (Cervical Dystonia Patient Registry for Observation of OnabotulinumtoxinA Efficacy)
Bibliographic record
Abstract
To compare profiles of subjects with and without cervical dystonia (CD)-associated pain, to evaluate the contribution of pain and the motor component of CD on quality of life, and to compare the initial botulinum toxin treatment paradigm between pain groups, baseline data were used from the CD Patient Registry for Observation of OnabotulinumtoxinA Efficacy (CD PROBE), a multicenter, prospective, observational registry designed to capture real-world practices and outcomes for onabotulinumtoxinA CD treatment. Subjects were divided into no/mild pain [Pain Numeric Rating Scale (PNRS) score 0-3] and moderate/severe pain groups (PNRS score 4-10). Descriptive and differential statistics were utilized to compare groups. 1,037 subjects completed the first treatment session, reported baseline botulinum toxin status, and completed baseline PNRS. Those with no/mild pain were significantly older at baseline. Those subjects with moderate/severe pain had higher Toronto Western Spasmodic Torticollis Rating Scale Severity (17.7 ± 5.1 vs. 16.2 ± 5.6, p < 0.0001) and Disability (12.7 ± 6.1 vs. 7.5 ± 5.6, p < 0.0001). CD subjects with moderate/severe pain received a higher mean dose (177.3 ± 82.9 vs. 158.0 ± 67.1 U, p = 0.0001) of onabotulinumtoxinA and were injected in more muscles (4.1 ± 1.4 vs. 3.7 ± 1.2, p < 0.0001) at initial treatment. CD PROBE clearly demonstrates the frequency of pain in CD and substantiates its importance when determining an optimal treatment paradigm. Future analyses of CD PROBE will further our understanding of the treatment patterns and outcomes related to onabotulinumtoxinA therapy for this disabling condition.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".