Effect of classical prolotherapy technique in knee osteoarthritis for a sample of Egyptian population: clinical and imaging study
Bibliographic record
Abstract
Abstract Background Knee osteoarthritis (KOA) is a progressive musculoskeletal disease that leads to physical impairment and disability. Several nonoperative therapeutic options have been proposed to reduce symptoms, improve physical function, and prevent disability. One of these therapeutic options is dextrose prolotherapy (DPT). The current study aimed to investigate the efficacy of DPT in the treatment of symptomatic KOA and to evaluate its potential proliferative role as assessed by musculoskeletal ultrasound (MSUS) and magnetic resonance imaging (MRI). Results Seventeen knees (21.25%) dropped out, leaving 63 knees in the final analysis (57 females and 6 males, aged 41–74 years) with KOA. At 24-week follow-up, the visual analogue scale and overall Western Ontario and McMaster Universities scores showed significant improvement ( P < 0.001). Moreover, a highly significant increase in cartilage thickness with a decrease in effusion grade and meniscal extrusion was observed by MSUS ( P < 0.001). By MRI, there was a statistically significant decrease in effusion grade ( P = 0.013) and meniscal extrusion ( P = 0.005) and a highly significant increase in cartilage thickness ( P < 0.001). Logistic analysis showed that lower patients’ body mass index (BMI) at baseline was a significant predictor for clinical improvement following DPT. Conclusion DPT might be considered a relatively safe minimally invasive intervention for the treatment of KOA with high adherence and satisfaction. It may lead to significant clinical and structural improvement in patients with KOA. Furthermore, lower BMI is a predicting factor for better clinical response to DPT. Trial registration The study was registered prospectively in ClinicalTrials.gov: clinical trial registration number NCT04178304 on 21 November 2019, https://register.clinicaltrials.gov/XXX .
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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) | 0.001 | 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".