[Clinical study of modified high tibial osteotomy combined with platelet-rich plasma in the treatment of moderate to severe knee osteoarthritis].
Bibliographic record
Abstract
OBJECTIVE: To evaluate the clinical efficacy of modified high tibial osteotomy combined with platelet-rich plasma in the treatment of moderate to severe knee osteoarthritis. METHODS: From January 2021 to March 2022, the clinical data of 60 patients with moderate to severe knee osteoarthritis admitted to the Third Affiliated Hospital of Beijing University of Chinese Medicine were analyzed. Among them, 30 patients were treated with modified tibia high osteotomy combined with platelet-rich plasma as the observation group, including 12 males and 18 females, aged from 51 to 74 years old, with an average age of (64.37±5.72) years old. The course of disease ranged from 1 to 7 years with an average of(3.43±1.41) years. Thirty patients were treated with modified high tibial osteotomy combined with sodium hyaluronate as control group, including 10 males and 20 females, aged from 50 to 78 years, with an average age of (64.33±8.18) years. The course of disease was 1 to 7 years with an average of(3.30±1.39) years. Knee X-rays were taken before surgery and at the last follow-up, and the changes of lower limb bearing-line ratio (WBLR), proximal medial tibial Angle (MPTA), femoro-tibial angle (FTA) and posterior tibial slope (PTS) were compared between the two times. Visual analogue scale (VAS), Western Ontario and McMaster University Osteoarthritis Index (WOMAC) and Lysholm score were used to evaluate knee pain and functional changes before surgery and at 1, 3, and 6 months after surgery. RESULTS: <0.05). CONCLUSION: For patients with moderate and severe knee osteoarthritis, modified high tibial osteotomy can significantly correct lower limb alignment, and combined with platelet-rich plasma therapy can further significantly relieve knee pain and improve knee function, the effect is better than combined with sodium hyaluronate.
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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 | 0.001 | 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 | 0.001 | 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".