The long-term follow-up clinical research of ultrasound-guided warm needle knife in treatment of advanced knee osteoarthritis
Bibliographic record
Abstract
ObjectiveTo evaluate the long-term efficacy and safety of ultrasound-guided warm needle knife therapy for patients with advanced knee osteoarthritis （KOA）.MethodsA total of 70 advanced KOA patients were recruited from the Department of Pain and Rehabilitation of the Third Hospital of Wuhan from June 2020 to June 2022. They were randomized to a treatment group or a control group in a 1∶1 ratio. Patients in the treatment group received ultrasound guided warm needle knife treatment， while patients in the control group received ultrasound guided radiofrequency treatment of the knee sensory plexus， both for 1 time. The primary outcome was the changes in Western Ontario McMaster University Osteoarthritis Index （WOMAC） scores. Other outcomes included the Visual Analogue Pain Scale （VAS） scores， value of Young’s modulus of A-shi points， proportion of patients achieving improvement， and adverse events related to study interventions.ResultsCompared with baseline， the WOMAC and VAS scores in the two groups were significantly decreased at each timepoints（P<0.05）， and the value of Young’s modulus was significantly decreased at 12 months after treatment. Compared with the control group， the treatment group reported a significantly greater reduction in WOMAC and VAS scores at 6 months and 12 months after treatment（P<0.05）. The proportion of patients achieving improvement in the treatment group were significantly higher than the control group at 12 months after treatment（P<0.05）. The value of Young’s modulus in the treatment group was significantly lower than the control group at 12 months after treatment（P<0.05）. No adverse events were reported.ConclusionUltrasound guided warm needle knife is effective in improving the function of knee joint and relieving pain in patients with advanced KOA. Further， the long-term efficacy of ultrasound guided warm needle knife for advanced KOA was superior to the ultrasound guided radiofrequency therapy.
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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 | 0.003 | 0.004 |
| 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 | 0.001 |
| 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".