The Effect of ISBT-Bowen Therapy in the Treatment of Myofascial Neck Pain—a Randomized, Single-Blinded Clinical Trial
Bibliographic record
Abstract
Background: Myofascial pain syndrome (MPS) is the most common diagnosis in patient presenting with chronic non-specific neck pain. It affects people's work performance, productivity, and quality of life. To date, there is little research evaluating the effectiveness of non-invasive techniques, such as ISBT-Bowen Therapy in managing neck MPS. Objectives: To investigate the effectiveness of Bowen therapy in managing myofascial pain syndrome with symptoms lasting for more than six weeks. The study will also examine the long-term effect of ISBT-Bowen Therapy on functional enhancement, quality of life, and physical and mental well-being. Methods: This is a prospective, single-blinded randomized controlled trial (RCT). A total of 90 myofascial neck pain patients were recruited and randomized to receive 8 sessions of ISBT-Bowen Therapy over a 12-week period (n = 45) or to continue their usual conventional treatment (n = 45). Pressure pain threshold (PPT), cervical range of motion (CROM), numerical rating pain scores, Neck Disability Index (NDI), SF-12 Health Survey (SF-12) Version 2, Generalized Anxiety Disorder 7-item (GAD7), and Patient Health Questionnaire (PHQ9) were measured at baseline, 12 weeks, and 24 weeks after baseline. Results: When compared with the control group, PPT significantly increased after ISBT-Bowen Therapy at 12 and 24 weeks. CROM on flexion, lateral flexion, and rotation were greatly improved at 12 weeks after Bowen therapy, and maintained at 24 weeks, except left lateral flexion. NDI, GAD7, and PHQ9 were all reduced after Bowen Therapy at both 12 and 24 weeks. Both Physical and Mental Component Summary scores of SF-12 were improved after Bowen therapy at 12 and 24 weeks. Conclusions: This study confirmed the efficacy of ISBT-Bowen Therapy for patients with MPS. It alleviates pain, improves functional outcomes, enhances quality of life, and relieves mood symptoms.
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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 | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.008 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.011 | 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".