The effect of physiotherapy and acupuncture on psychocognitive, somatic, quality of life, and disability characteristics in TTH patients
Bibliographic record
Abstract
INTRODUCTION: Nonpharmacological therapies have been widely used to treat tension-type headache (TTH); however, limited evidence exists with regards to their effectiveness. Therefore, the aim of the present study was to examine the combined effect of acupuncture, stretching, and physiotherapy (myofascial release techniques and microwave diathermy) on psychocognitive, somatic, quality of life, and disability characteristics in such patients. SUBJECTS AND METHODS: Patients with TTH (n=44) performed either acupuncture or stretching (control group, n=20) or acupuncture, stretching, and physiotherapy (experimental group, n=24) during a 4-week intervention period including 10 treatment sessions. They were tested for the Greek version of the Short-Form McGill Pain Questionnaire, the Greek version of the Migraine Disability Assessment Questionnaire, the Greek version of the Hospital Anxiety and Depression Scale, Short Form Health Survey 12 9 (SF-12), and Pain Catastrophizing Scale at baseline after the fifth and tenth sessions. RESULTS: >0.05). CONCLUSION: In summary, a significant beneficial role of acupuncture, stretching, and physiotherapy on cognitive, psychosomatic pain measures, disability index, quality of life, and catastrophizing in patients with TTH was observed.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.002 | 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".