Common intra‐articular knee injections demonstrate a similar recovery trajectory over 60 months: A systematic review and meta‐analysis of 15,418 participants
Bibliographic record
Abstract
Purpose: To summarise the recovery trajectories of people undergoing intra-articular knee injections in randomised-controlled trials (RCTs) for osteoarthritis (OA) using patient-reported outcome measures over time. Methods: A systematic review of published RCTs on intra-articular knee injections with at least 100 participants enrolled and a minimum of 6-month follow-up was conducted. MEDLINE, Embase and Cochrane Central Register of Controlled Trials were searched until April 2025. A meta-analysis of within-arm response to treatments was calculated as the standardised mean change and 95% confidence interval (CI) at 1, 3, 6, 9, 12, 24 and 60 months by randomly selecting one arm from each study. Subgroup analyses were performed according to treatment received. The primary outcome measure included the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC). Secondary outcome measures included the visual analogue scale (VAS), Knee Osteoarthritis Outcome Score and International Knee Documentation Centre Score. Results: This study included 73 RCTs (15,418 participants). Pooled SMC for total WOMAC was -2.59 (95% CI: -4.35 to -0.84) at 1 month, -3.3 (95% CI: -5.10 to -1.50) at 3 months, -2.58 (95% CI: -3.95 to -1.20) at 6 months, -3.19 (95% CI: -7.18 to 0.79) at 9 months, -2.09 (95% CI: -3.50 to -0.67) at 12 months, -0.05 (95% CI: -1.43 to 1.34) at 24 months and 0.04 (95% CI: -1.50 to 1.59) at 60 months. Hyaluronic acid (HA), autologous blood product and steroid arms all showed a similar trend. A similar trend was seen for all subscores. Placebo or physiotherapy showed little improvement, except for in VAS pain for 6 months. Conclusion: People undergoing HA, autologous blood product and steroid injections demonstrated a consistent pattern in improvement. This may explain why existing meta-analyses demonstrate inconsistencies in superior treatment. The lack of improvement in placebo or physiotherapy arms suggests regression to the mean is not evident. Clinical Trial: PROSPERO CRD42023445663. Level of Evidence: Level I.
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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 | 0.019 | 0.049 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.019 | 0.046 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".