Platelet‐Rich Plasma Versus Hyaluronic Acid for Hip Osteoarthritis Yields Similarly Beneficial Short‐Term Clinical Outcomes: A Systematic Review and Meta‐analysis of Level I and II Randomized Controlled Trials
Bibliographic record
Abstract
PURPOSE: To systematically review the literature to compare the efficacy of platelet-rich plasma (PRP) and hyaluronic acid (HA) injections for the treatment of hip osteoarthritis (OA). METHODS: A systematic review was performed by searching PubMed, the Cochrane Library, and Embase to identify randomized controlled trials that compared the clinical efficacy of PRP and HA injections for hip OA. The search phrase used was hip, osteoarthritis, platelet-rich plasma, hyaluronic acid, randomized. Patients were assessed based on the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC), the Visual Analog Scale (VAS) for pain, and the Harris Hip Score (HHS). Subanalyses were performed for any outcome score in which ≥3 studies reported results. RESULTS: Six studies (5 level I, 1 level II) met inclusion criteria, including 211 patients undergoing intra-articular injection with PRP (mean age 60.0 years, mean follow-up 12.2 months) and 197 patients with HA (mean age 62.3 years, mean follow-up 11.9 months). No significant differences were found in the weighted improvement of any outcome score (WOMAC, VAS, or HHS) from preinjection to postinjection between groups. When excluding a study with the highest risk of bias to eliminate heterogeneity, pooled subanalysis demonstrated no significant differences in WOMAC subscores between PRP and HA groups. Similarly, in a pooled subanalysis that isolated patients treated with leukocyte-poor PRP, no significant differences in WOMAC subscores were found between PRP and HA groups. CONCLUSION: Patients undergoing treatment for hip OA with either PRP or HA injections can expect to experience similarly beneficial short-term clinical outcomes. LEVEL OF EVIDENCE: II, systematic review of level I and II studies.
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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 | 0.018 | 0.049 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.027 | 0.033 |
| Bibliometrics | 0.007 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".