Chronic Shoulder Pain of Myofascial Origin: A Randomized Clinical Trial Using Ischemic Compression Therapy
Bibliographic record
Abstract
OBJECTIVE: The aim of this clinical trial was to evaluate the effect of 15 myofascial therapy treatments using ischemic compression on shoulder trigger points in patients with chronic shoulder pain. METHODS: Forty-one patients received 15 experimental treatments, which consisted of ischemic compressions on trigger points located in the supraspinatus muscle, the infraspinatus muscle, the deltoid muscle, and the biceps tendon. Eighteen patients received the control treatment involving 15 ischemic compression treatments of trigger points located in cervical and upper thoracic areas. Of the 18 patients forming the control group, 16 went on to receive 15 experimental treatments after having received their initial control treatments. Outcome measures included a validated 13-question questionnaire measuring shoulder pain and functional impairment. A second questionnaire was used to assess patients' perceived amelioration, using a scale from 0% to 100%. Outcome measure evaluation was completed for both groups at baseline after 15 treatments, 30 days after the last treatment, and finally for the experimental group only, 6 months later. RESULTS: A significant group x time interval interaction was observed after the first 15 treatments, indicating that the experimental group had a significant reduction in their Shoulder Pain and Disability Index (SPADI) score compared with the control group (62% vs 18% amelioration). Moreover, the patients perceived percentages of amelioration were higher in the experimental group after 15 treatments (75% vs 29%). Finally, the control group subjects significantly reduced their SPADI scores after crossover (55%). CONCLUSION: The results of this study suggest that myofascial therapy using ischemic compression on shoulder trigger points may reduce the symptoms of patients experiencing chronic shoulder pain.
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How this classification was reachedexpand
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".