Factors affecting the health-related quality of life of patients with cervical dystonia and the impact of botulinum toxin type A injections.
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The purpose of this study was to analyze the health-related quality of life (HRQL) of patients with cervical dystonia (CD) and the impact of botulinum toxin A (BTX-A) therapy in these patients. The authors recruited 101 patients with CD, all previously treated with BTX-A. Both before and 4 weeks after injection of BTX-A the patients were assessed using the Toronto Western Spasmodic Torticollis Rating Scale (TWSTRS), a Visual Analogue Scale for pain (VAS: 0-100%), the Short Form 36 health survey questionnaire (SF-36), and the Montgomery-Asberg Depression Rating Scale (MADRS). A control group of 84 healthy volunteers was also evaluated. The patients? baseline SF-36 scores were worse in all the domains when compared with those of the controls. Depression was found in 47.5% of the patients. Improvements were noticed 4 weeks after the single BTX-A injections in all the SF-36 domains, and in the VAS, TWSTRS and MADRS scores. The TWSTRS results did not correlate with any of the SF-36 subscores. Stepwise backward regression analysis revealed depression as the main predictor of poor HRQL, as well as female sex, poor financial situation, and living alone. On contrary, longer treatment with BTX-A was associated with better scores. Cervical dystonia has a marked impact on HRQL and treatment with BTX-A injections has a beneficial effect, seen both in objective and in subjective measures. Depression in CD patients is a main predictor of worse HRQL.
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.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 it