Combine Approach of Proximal Fibula Osteotomy (PFO) Followed by Intra-Articular Dextrose Prolotherapy in Severe Medial Knee Osteoarthritis
Bibliographic record
Abstract
Background: Knee osteoarthritis (OA) is a chronic and progressive degenerative disease. It resulted from mechanical and chemical disorders that damage the joint and the underlying bone. The management of knee OA is challenging due to poor self-regeneration of connective tissues. Surgical treatment with prolotherapy approaches was conducted to treat medial compartment knee OA. Aim: To know the injection frequency to reach a 50% improvement in VAS score and WOMAC index. Methods: Six patients who suffered from late-stage medial compartment knee OA underwent PFO followed by twelve sessions of intra-articular dextrose prolotherapy. The subjective pain score, visual analog scale (VAS), was assessed based on the patient subjectiveness before and after treatment. Patients marked the score from 0 to 10 cm to describe the current pain state. The functional index, the Western Ontario and McMaster Universities Osteoarthritis (WOMAC) index used to evaluate the Patient's clinical symptoms. It ranges from 0 to 96 points consisting of three main sections: pain (total 20 points), stiffness (total: eight points), and physical function disability (total 68 points). Higher scores indicate severe symptoms and function. Results: Four patients showed pain relief and functional improvement with more than 50% scores of VAS and WOMAC after the treatment. Two patients received more than twelve doses of intra-articular dextrose prolotherapy due to a lack of progress. Conclusion: This study provides clinical evidence for a new treatment strategy for advanced knee OA. This combined therapy improves the patient's daily activity function and postpones the need for total knee arthroplasty (TKA).
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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) | 0.000 | 0.000 |
| 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) | 0.002 | 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".