Is Regenerative Injection Therapy (Prolotherapy) Effective at Reducing Pain Associated With Knee Osteoarthritis
Bibliographic record
Abstract
Objective: The objective of this selective EBM review is to determine whether or not “Is regenerative injection therapy (prolotherapy) effective at reducing pain associated with knee osteoarthritis?” Study Design: Review of all English language primary studies published in 2012 and 2013. Data Sources: One randomized control trial, one randomized crossover study and one single-arm uncontrolled study were found using PubMed and Ebscohost. Outcomes Measured: Clinical outcome for all three articles was measured using the Western Ontario McMaster University Osteoarthritis Index (WOMAC); which specifically focuses on quality of life, function, and pain reduction after the use of prolotherapy versus the saline placebo. Results: In a randomized control study (RCT) by Rabago et al. (2012) they found that patients given prolotherapy sustained significant improvement of pain, function, and stiffness scores for knee osteoarthritis compared with the blinded saline injection group. The randomized crossover study by Dumais et al. also came to the conclusion that prolotherapy is associated with a marked reduction in symptoms that was sustained for over 24 weeks. The Rabago et al. (2013) single-arm uncontrolled study also found similar results; 36% improvement on the WOMAC. Conclusions: Both randomized controlled trials and the single-arm uncontrolled studies included in this review indicate that regenerative injection therapy, also known as RIT or prolotherapy, is an effective treatment for knee osteoarthritis in regards to quality of life, pain, and function.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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".