Effects of acupuncture on pain and function in patients with subacromial impingement syndrome: A randomized sham-controlled trial
Bibliographic record
Abstract
Background: Subacromial impingement syndrome (SIS) is the most common cause of shoulder pain. Acupuncture is a traditional medicine that is effective on pain. This study aimed to evaluate the effect of acupuncture treatment on pain, function, range of motion (ROM) and quality of life compared to sham acupuncture in patients diagnosed with SIS. Methods: A randomized, prospective, double-blinded, sham-controlled trial was conducted. In acupuncture group 40 participants received acupuncture treatment plus exercise therapy while in control group 40 participants received sham acupuncture plus exercise therapy. Primary outcomes included pain-rest, activity and night pain. Secondary outcomes included function [Shoulder Pain and Disability Index (SPADI) and The Disabilities of the Arm, Shoulder and Hand Score (Quick DASH)], ROM, and quality of life [The Western Ontario Rotator Cuff Index (WORC)] in patients with SIS. Results: Both groups had significant improvements for pain-rest, activity night pain scores, SPADI, Quick DASH and WORC after treatment and at the first month follow-up. Significant improvements were recorded in the acupuncture group for all ROM after treatment and at the first month follow-up while in control group only in passive internal rotation. Acupuncture group had better improvements for Quick DASH, WORC and all ROM parameters after the treatment, as well as for all parameters except pain-night and passive flexion at the first month follow-up. Conclusion: This study suggest that acupuncture treatment is a safe, effective and non-invasive treatment option in patients with SIS. Trial registration: The study protocol is registered at clinicaltrials.gov (NCT05794633).
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| 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".