EFFECTS OF PROLOTHERAPY WITH HYPERTONIC DEXTROSE IN PATIENTS WITH KNEE OSTEOARTHRITIS: A RANDOMIZED CLINICAL TRIAL
Bibliographic record
Abstract
Background: The role of prolotherapy in the healing process of damaged tissues has been confirmed in patients with degenerative joint disease. Hypertonic dextrose has been introduced as the most common solution in prolotherapy for reducing pain and improving mobility in people with knee osteoarthritis (KOA). This study aimed to compare the KOA patients undergoing hypertonic dextrose prolotherapy (DPT) with the placebo in terms of pain intensity and functional level. Methods: This triple-blind study randomized clinical trial (RCT) was conducted on patients with mild to moderate KOA who were referred to the Rheumatic Diseases Research Center (RDRC), Mashhad University of Medical Sciences, Mashhad, Iran, in the year 2021. Patients were randomly assigned to two groups of the DPT ([Formula: see text] = 47) and normal saline placebo prolotherapy ([Formula: see text] = 50) intra- and peri-articular knee joints. Treatment was monthly for three months. Western Ontario and McMaster Universities’ Arthritis Index (WOMAC) and Anterior Knee Pain Scale (AKPS) were completed before and after intervention (weeks 0, 4, 8, 12, and 16). The variables were compared between the two study groups at a significance level of less than 0.05 ([Formula: see text] < 0.05). Results: The WOMAC score improved significantly compared to the baseline in both groups ([Formula: see text] < 0.005). An increase in WOMAC score (the last follow-up compared to baseline) was 97.4% and 85.7% in DPT and placebo groups, respectively ([Formula: see text]= 0.06). Before the intervention and also after the first injection, the AKPS score in the normal saline group was significantly better than the dextrose group ([Formula: see text]= 0.03). The AKPS score did not differ significantly between the two groups ([Formula: see text] > 0.05) in the next two visits and two-month follow-ups. Improvement of AKPS score in the last follow-up compared to baseline was reported in 66.7% and 68.4% of patients in the normal saline group and dextrose group, respectively, ([Formula: see text]= 0.86). Conclusion: Prolotherapy as intra- and peri-articular injections of hypertonic dextrose could be used to relieve pain and improve functional status in patients with mild to moderate KOA as much as a placebo does. Although no remarkable difference was observed between dextrose and placebo in the outcomes, the rate of improvement (last follow-up compared to the baseline) was relatively higher in the dextrose group than in the normal saline group.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.000 | 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".