CLINICAL OBSERVARTION OF PULSED RADIOFREQUENCY IN PATIENTS WITH KNEE OSTEOARTHRITIS
Bibliographic record
Abstract
目的:观察脉冲射频术治疗膝关节骨关节炎的临床疗效.方法:前瞻性收集2015年1月至2015年6月解放军总医院第一附属医院收治的符合纳入及排除标准的膝关节骨关节炎患者96例,随机分为试验组(予以脉冲射频术治疗,n=48)和对照组(予以口服塞来昔布胶囊6周治疗,n=48).分别于治疗前、治疗后1个月和6个月随访并比较两组患者在视觉模拟评分(visual analogue scale,VAS)和西安大略和麦克马斯特大学骨关节炎指数(western Ontario and McMaster Universities Osteoarthritis Index,WOMAC)方面的差异.结果:最终试验组患者45例(93.8％),对照组患者47例(97.9％)完成随访.两组患者治疗前VAS和WOMAC均无显著性差异.治疗后,试验组VAS和WOMAC均显著低于治疗前,差异有统计学意义(P＜0.001).组间比较疼痛方面,试验组治疗后1个月和6个月VAS均低于对照组,差异有统计学意义(P＜0.05);膝关节功能方面,试验组治疗后1个月和6个月WOMAC也均低于对照组,差异有统计学意义(P＜0.05).结论:脉冲射频术治疗膝关节骨关节炎效果优于口服塞来昔布,可以显著减轻患者疼痛,改善膝关节功能.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".