Clinical observation of Xi Sanzang Decoction concomitant with auricular-plaster therapy using magnetic beads in treatment of knee osteoarthritis due to deficiency of liver and kidney
Bibliographic record
Abstract
Objective: To explore the clinical efficacy of Xi Sanzang Decoction concomitant with auricular-plaster therapy using magnetic beads in the treatment of knee osteoarthritis (KOA) due to deficiency of liver and kidney. Methods: A total of 60 patients with KOA due to deficiency of liver and kidney who were admitted to No. 1 Department of Orthopedics in Hospital of Integrated Traditional Chinese and Western Medicine of Guangdong Province from June 2019 to June 2021 were selected as the study subjects and randomized into treatment group and control group based on simple random number table, 30 cases in each group. Treatment group received oral administration of Xi Sanzang Decoction concomitant with auricular-plaster therapy using magnetic beads, while control group received Imrecoxib Tablets. Visual Analogue Scale (VAS), Western Ontario and McMaster Universities Arthritis Index (WOMAC) and Lysholm and ROM knee score scale before and after treatment, clinical efficacy after treatment, and the recurrence rate one month after treatment discontinuation were compared between two groups 4 weeks later. Results: After treatment, the overall response rate was 96.66% in treatment group, evidently higher than the 86.66% in control group, and there was significant difference (P<0.01). After treatment, VAS score, stiffness score, ADL score and WOMAC total score decreased notably after treatment in both groups (P<0.01), which decreased more significantly in treatment group than those in control group (P<0.05). After treatment, ROM score and Lysholm score increased prominently after treatment in both groups (P<0.01), which increased more significantly in treatment group than those in control group (P<0.05). Treatment group was markedly lower than control group in the recurrence rate one month after drug discontinuation, and there was significant difference (P<0.05). Conclusion: Xi Sanzang Decoction concomitant with auricular-plaster therapy using magnetic beads for the treatment of KOA due to deficiency of liver and kidney has certain efficacy and can improve the knee function and mobility and control medical condition with good safety.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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".