Efficacy of silver needle combined with high-intensity laser for the treatment of knee osteoarthritis
Bibliographic record
Abstract
Objective To evaluate the efficacy of silver needle combined with high-intensity laser for the treatment of knee osteoarthritis. Methods Ninety inpatients with knee osteoarthritis were randomly divided into the control group and the test group with 45 cases in each group. Both groups received conventional silver needle therapy once a week for two weeks. The test group underwent a high-intensity laser therapy (HILT) everyday on the basis of silver needle therapy. The control group received sham laser therapy. VAS, Lequesne index and WOMAC scale were used to evaluate the therapeutic efficacy. Results After 2 weeks treatment, the VAS score, Lequesne index and the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) scale of both groups were significantly decreased compared to those before the treatment (P<0.05). Moreover, the decreases of the three scores were significantly greater in the test group than in the control group (P<0.05). Conclusions The silver needle combined with HILT attenuated pain symptoms and improved the knee joint function in patients suffered from knee osteoarthritis, and the therapeutic efficacy lasted for at least 3 months. Key words: Silver needle; High intensity laser therapy; Osteoarthritis, knee
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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) | 0.001 | 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) | 0.001 | 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".