Nanosurgery and Bioengineered Regenerative Protocols for the Treatment of Hip Osteoarthritis: A Double-Blind Randomized Controlled Trial as an Alternative to Surgical Hip Replacement
Bibliographic record
Abstract
Introduction: Hip osteoarthritis (HOA) significantly affects mobility and quality of life, with total hip arthroplasty (THA) being a common treatment. However, complications and increasing revision rates highlight the need for alternative approaches. This study evaluates the efficacy of ultrasound-guided nanosurgery and bioengineering treatment (NSBT) compared to non-standardized platelet-rich plasma (PRP) treatment for patients with symptomatic HOA. Methods: A double-blind, randomized trial included 38 patients referred for THA, divided into two groups. The study group received NSBT with modified PRP enriched with somatotropin and Strophanthus kombe, while the control group received PRP and hyaluronic acid injections without a standardized protocol. Treatments were guided by ultrasound, and outcomes were assessed using the Visual Analog Scale (VAS), Western Ontario and McMaster Universities Arthritis Index (WOMAC), Harris Hip Score (HHS), and range of motion (RoM) evaluations over 12 months. Results: The study group showed significant improvements in all clinical outcomes, including reductions in VAS scores from 7.8 to 0.2 (p < 0.0001) and WOMAC scores from 76.2 to 10.5 (p < 0.0001). The HHS improved from 56.4 to 93.0, and RoM showed substantial gains in flexion, external rotation, and internal rotation (all p < 0.001). The control group demonstrated less pronounced improvements. Conclusions: NSBT offers a safe and effective alternative for managing HOA, significantly reducing pain and improving joint function while potentially delaying or avoiding the need for THA. Further long-term studies are warranted to confirm these findings.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 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) | 0.000 | 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 teacher head, 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".