Analysis of short-term effect of arthroscopic surgery combined platelet-rich plasma on senile knee meniscus injury
Bibliographic record
Abstract
Objective To investigate the effect of arthroscopic surgery combined platelet-rich plasma in the treatment of senile knee meniscus injury. Methods From July 2016 to June 2017, 40 qualified senile patients with grade Ⅱ and Ⅲ knee osteoarthritis according to Keligren Lawrence classification and grade Ⅲ knee meniscus injury according to Stoller classification in Foshan Chancheng Central Hospital were included, while the patients with a prior history of trauma, cruciate ligament injury, or lateral meniscus injury were excluded. Forty patients were randomly divided into two groups: the PRP group (n=20, arthroscopic surgery combined with PRP); and the control group (n=20, arthroscopic surgery only). The patients were followed up in postoperative one month, three months and six months. The adverse reactions of the two groups were recorded. The pain was evaluated by visual analogue scale (VAS) score, and the knee joint function was assessed with the Lysholm score and the Western Ontario and McMaster Universities (WOMAC). osteoarthritis index Data were analyzed by SPSS 13.0 statistical software. Chi-square test was used for comparison of counting data; Anova for repeated measures was used for comparison of different time points in the same group; t test for independent-samples was used for comparison of each time point between groups. Results No serious postoperative complication was found in both groups. At month 1, 3 and 6 after the treatment, the VAS score and WOMAC score in both groups obviously decreased compared with before treatment, while the Lysholm score obviously increased. After the treatment, the pain was relieved and knee functions were improved in both group. At month 3 and 6 after the treatment, the improvement of the VAS score, the Lysholm score and the WOMAC score of PRP group were significantly better than that of the control group(the VAS score at month 3: t=4.125, P<0.05; the VAS score at month 6: t=8.557, P<0.05; the Lysholm score at month 3: t=7.428, P<0.05; the Lysholm score at month 6: t=15.564, P<0.05; the WOMAC score at month 3: t=6.932, P<0.05; the WOMAC score at month 6: t=9.174, P<0.05). Conclusion Arthroscopic surgery combined with PRP therapy in the treatment of senile knee meniscus injury has an excellent recent effect, and a certain application prospect. Key words: Platelet rich plasma; Arthroscope; Meniscus; Osteoarthritis
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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 | 0.001 |
| 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".