The Efficacy of Bone Marrow Stem Cell Therapy in Hip Osteoarthritis: A Scoping Review
Bibliographic record
Abstract
Background: Hip osteoarthritis (HOA) is a prevalent degenerative joint disease with various treatment approaches. Biological agents, such as bone-marrow derived stem cells (BM-MSC) therapy, have recently been proposed as a treatment option in the management of HOA. Purpose: We sought to further analyze the use of BM-MSC therapy by investigating the following questions. What is the standard preparation and practice? Does a dose response exist between stem cell therapy and clinical outcome? Does BM-MSC therapy alone produce effective clinical outcomes? Methods: We conducted a scoping review using the Methodological Expectations of Cochrane Intervention Reviews Manual and the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) guidelines for scoping reviews. A comprehensive search of PubMed, Embase, Cochrane CENTRAL, Scopus, SPORTDiscus, Cumulative Index to Nursing and Allied Health Literature, and Web of Science Core Collection was performed in June 2023 of studies using exclusively BM-MSC injections for the treatment of HOA. Study characteristic, injection preparation and dosage, clinical outcome measures, and adverse effect data were extracted and interpreted by 3 reviewers. Results: Seven studies with a total of 72 patients met the inclusion criteria. Clinical outcome following intra-articular injection of BM-MSCs was measured using the numerical pain scale, the Western Ontario and McMaster Universities Osteoarthritis Index, the visual analogue scale, and other scores, all of which showed reduction in pain and increase in functional ability across studies. Conclusions: This scoping review found that the efficacy of BM-MSC therapy alone in the treatment of HOA appeared beneficial, improving clinical outcomes in each study. All 7 studies used "low-dose" injections with variable follow-up times; thus, a clear dose-response relationship cannot be drawn. Future studies using high doses and analyzing long-term effects of BM-MSC injections in HOA are needed.
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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 | 0.022 | 0.080 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.010 | 0.009 |
| Bibliometrics | 0.016 | 0.013 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".