Quality of life improvements in patients with cervical dystonia following treatment with a liquid formulation of abobotulinumtoxinA (Dysport<sup>®</sup>)
Bibliographic record
Abstract
BACKGROUND AND PURPOSE: In patients with cervical dystonia, abobotulinumtoxinA solution for injection (ASI) has been shown to be similarly effective to freeze-dried abobotulinumtoxinA in reducing Toronto Western Spasmodic Torticollis Rating Scale (TWSTRS) total scores. In this secondary analysis, quality of life data as evaluated with the Cervical Dystonia Impact Profile (CDIP-58) are presented. METHODS: This was a double-blind, randomized, active and placebo-controlled study followed by an open-label extension (NCT01261611). In the double-blind phase, patients were randomized (3:3:1) to one cycle of ASI 500 U (n = 156), abobotulinumtoxinA 500 U (n = 159) or placebo (n = 54). Following the double-blind phase, all patients received open-label ASI for up to four cycles. RESULTS: The CDIP-58 total scores were significantly improved at week 4 of the double-blind phase in both the ASI 500 U and abobotulinumtoxinA 500 U groups versus placebo [least squares mean change from baseline of -9.5 (-11.51, -7.45) and -11.2 (-13.2, -9.26) vs. -0.9 (-4.04, 2.14), respectively; both P < 0.0001 vs. placebo]. All CDIP-58 domains contributed to this improvement and benefits were maintained across open-label treatment. Positive correlations were observed between CDIP-58 total score and all three TWSTRS domains (R = 0.42-0.62) and for all CDIP-58 subscales with the TWSTRS total score and domains (R = 0.23-0.60). CONCLUSIONS: Repeat ASI injections are similarly effective to abobotulinumtoxinA in improving patient-reported outcomes of health-related quality of life. Positive correlations were found between TWSTRS total and domain scores and CDIP-58 total and domain scores.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".