Lontophoresis of Chinese Medicine Combined with Sodium Hyaluronate Injected into Articular Cavity in the Treatment of Early Stage Knee Osteoarthritis
Bibliographic record
Abstract
Objective: To observe the clinical effect and mechanism of iontophoresis of Tongluo Zhitong powder articular cavity injection of sodium hyaluronate on the early and medial stages of the knee osteoarthritis. Method: Ninty-eight patients were randomly divided into observation group( n = 49) and control group( n = 49). Control group were treated with articular cavity injection of sodium hyaluronate,20 mg each time,1 time each week,for 5 weeks. Observation group were treated with iontophoresis of Tongluo Zhitong powder on the basis of control group,2 times each day,for 5 weeks. The symptoms and signs of patients were tested by the Western Ontario and McMaster Universities( WOMAC) scores. The level of hyaluronic aci( HA),tumor necrosis factor-α( TNF-α) and interleukin-1β( IL-1β) of knee joint synovia in pretherapy and post-treatment were detected. Result: The total effective rate of observation group( 97. 96%) was superior to control group( 81. 63%)( P 0. 01). The scores of WOMAC which including pain,stiffness,swell and tenderness of observation group were lower than control group( P 0. 01). The level of HA in observation group was higher than control group and the level of TNF-α and IL-1β in observation group was lower than control group( P 0. 01). Conclusion: The clinical curative effect of iontophoresis of Tongluo Zhitong powder combining with articular cavity injection of sodium hyaluronate on KOA is significant. The mechanism of action may be related with increasing the concentration of HA and decreasing the level of TNF-α and IL-1β.
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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".