RETRACTED: Group-based multimodal exercises integrated with cognitive-behavioural therapy improve disability, pain and quality of life of subjects with chronic neck pain: a randomized controlled trial with one-year follow-up
Post-publication record
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Bibliographic record
Abstract
OBJECTIVE: To evaluate the effect of a group-based multidisciplinary rehabilitation programme on disability, pain and quality of life in subjects with chronic neck pain. DESIGN: Randomized controlled trial. SETTING: Specialized rehabilitation centre. SUBJECTS: A total of 170 patients (mean age of 53 years (13); 121 females). INTERVENTIONS: The multidisciplinary group underwent a multidisciplinary rehabilitation programme combining multimodal exercises with psychologist-lead cognitive-behavioural therapy sessions. The general exercise group underwent general physiotherapy. Both groups followed group-based programmes once a week for ten weeks. Additionally, the multidisciplinary group met with the psychologist once a week for a 60-minute session. MAIN MEASURES: The Neck Disability Index (primary outcome), the Tampa Scale for Kinesiophobia, the Pain Catastrophizing Scale, a pain numerical rating scale and the Short-Form Health Survey. The participants were evaluated before, after training and after 12 months. RESULTS: A linear mixed model for repeated measures was used for each outcome measure. Significant effects ( p-value <0.001) were found over time and between groups for all outcome measures. After training, significant improvements were found for both groups for all outcome measures except kinesiophobia and catastrophizing, which did not change in the control group; however, the improvements were significantly greater for the multidisciplinary group. At 12-month follow-up a clinically meaningful between-group difference of 12.4 Neck Disability Index points was found for disability. CONCLUSIONS: A group-based multidisciplinary rehabilitation programme including cognitive-behavioural therapy was superior to group-based general physiotherapy in improving disability, pain and quality of life of subjects with chronic neck pain. The effects lasted for at least one year.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".