A Randomized Controlled 24-week Trial to Evaluate the Efficacy and Safety of Bi Qi Capsule for the Treatment of Knee Osteoarthritis
Bibliographic record
Abstract
Abstract Objective: To evaluate the efficacy and tolerability of Bi Qi capsule in knee osteoarthritis. Patients and methods: An open-label, 24-week, parallel randomized controlled trial conducted between October 2016 to October 2018. Patients with knee osteoarthritis were randomly assigned 1:1 to receive Bi Qi capsule (1.2g, twice a day) and Calcitriol capsule (0.25ug, once a day). Western Ontario and McMaster Universities Osteoarthritis (WOMAC) was the primary outcome, including pain, stiffness, and function subscale scores. Secondary outcome measures were visual analogue scale (VAS) score for the patients assessment of pain, bone mineral density (BMD), patient’s assessment of function using the Health Assessment Questionnaire (HAQ). Safety was assessed by recording adverse events (AEs). Results: 100 patients were included in the study. 15(15%) patients discontinued the study because of lack of efficacy, adverse events and loss of follow up. At the end of the treatment ,the decrease in WOMAC total score was -8.7(4.9) and -5.4(5.6) and improvement of WOMAC function was -4.88(3.6) and -2.70(3.86) in the Bi Qi group and the controlled group, respectively (p<0.01). The improvement in BMD of left femoral neck was 0.05(0.2) and -0.01(0.04) , improvement in T score of left femoral neck was 0.15(0.5) and -0.05(0.3) in the Bi Qi group and the controlled group, respectively (p<0.01). No significant difference was observed between treatment groups for changes in WOMAC pain, WOMAC stiffness, VAS, BMD of lumbar spine, T score of lumber spine and HAQ over 24 weeks. Two adverse events were reported in Bi Qi group: facial edema (n=1), nausea (n=1) and one adverse events was reported in controlled group: lip swelling (n=1). All these adverse events were mild and could be alleviated after withdrawing treatment. Conclusion: It can be concluded that Bi Qi capsule was found to be effective and safe in reducing WOMAC total score, improving WOMAC function and BMD in individuals suffering from KOA.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 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".