Bilateral pallidal stimulation in cervical dystonia: blinded evidence of benefit beyond 5 years
Bibliographic record
Abstract
The local injection of botulinum toxin is accepted as the first-line treatment of primary cervical dystonia. This approach provides adequate symptomatic relief for most patients, but up to one-third will have an unsatisfactory response. Deep brain stimulation of the globus pallidus internus has been increasingly used in dystonic syndromes that are refractory to best pharmacological approaches. Although cervical dystonia is the most common idiopathic focal dystonia, evidence for long-term responsiveness to pallidal stimulation is limited. The primary objective of this study was to prospectively collect outcome data from baseline to last clinical follow-up on patients with idiopathic cervical dystonia treated with bilateral pallidal stimulation. Blinded video assessment of examinations performed preoperatively and at last video assessment were performed. Ten patients had complete prospective clinical follow-up. Baseline total Toronto Western Spasmodic Torticollis Rating Scale score (±standard deviation) was 54.5 ± 12.4 (range, 35.0-70.3). Comparison of the blinded severity sub-score on baseline video and at last video assessment at a mean of 7.7 years postoperatively demonstrated a mean improvement of 47.6% (P = 0.002) and strong inter-observer correlation between blinded raters (Spearman r = 0.78, 95% confidence interval 0.49-0.92, P = 0.0001). All 10 patients had 5 years of open prospective follow-up, documenting a 47.4 ± 26.4% (P < 0.01) mean improvement with respect to baseline. This was maintained at a mean of 7.8 years at last follow-up after surgery (range, 4.9-10.7 years) with a 54.4 ± 27.4% mean improvement (P < 0.01). Deep brain stimulation of the globus pallidus is an effective and long-lasting second-line treatment of cervical dystonia, with benefit in some of our patients extending to >10 years. More data are needed to explain variations in individual responses and to guide individual programming parameters.
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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 | 0.003 | 0.006 |
| 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) | 0.001 | 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".