Spa treatment for primary fibromyalgia syndrom: a combination of thalassotherapy , exercise and patient education improves symptoms and quality of life.
Bibliographic record
Abstract
Objectives: To study the effect of a combination of thalassotherapy, exercise and patient education in people with fibromyalgia. - Methods: Patients with fibromyalgia, selected from a rheumatology out-patient department and from members of the Dutch fibromyalgia patient association, were pre-randomized to receive either 2 weeks of treatment in a Tunisian spa resort, including thalassotherapy, supervised exercise and group education (active treatment) or treatment as usual (control treatment). Primary outcome measure was health-related quality of life, measured with the RAND-36 questionnaire. Secondary measures included the Fibromyalgia Impact Questionnaire, the McGill Pain Questionnaire, the Beck Depression Inventory, tender point score and a 6-min treadmill walk test. - Results: Fifty-eight participants receiving the active treatment reported significant improvement on RAND-36 physical and mental component summary scales. For physical health, differences from the 76 controls were statistically significant after 3 months, but not after 6 and 12 months. A similar pattern of temporary improvement was seen in the self-reported secondary measures. Tender point scores and treadmill walk tests improved more after active treatment, but did not reach significant between-group differences, except for walk tests after 12 months. - Conclusions: A combination of thalassotherapy, exercise and patient education may temporarily improve fibromyalgia symptoms and health-related quality of life.
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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 | 0.001 | 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) | 0.010 | 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".