Application of high energy shock wave in treatment of chronic musculoskeletal pain
Bibliographic record
Abstract
Objective To observe the effects of high energy shock waves in the treatment of chronic pain of scapulohumeral periarthritis and other musculoskeletal disorders, and to explore the mechanism and clinical application of this therapy. Methods Ninety outpatients were divided into two groups randomly: the treatment group was treated with high energy shock waves, while the control group with conventional physical therapy. All the patients were evaluated with McGill pain Questionnaire(MPQ). Results After the treatment, the treatment group improved markedly as compared with pre-treatment and control group, and the cure rate were higher than that of control group(P0.01). There was significant difference between two groups in total(T), affective(A) and visual analogous scale(VAS) scores(P0.01 or P0.05). There was significant difference in numbers of treatment needed for cure(P0.001). Conclusion High energy shock waves has valid effect for chronic musculoskeletal disorders, and is safe with no side-effects.
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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 | 0.000 |
| 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".