Intra-articular injection of methylprednisolone for reducing pain in knee osteoarthritis
Post-publication record
Source: Retraction Watch, joined by DOI. OpenAlex records retraction as is_retracted, a boolean over a state space with at least four values, so it cannot express an expression of concern, a correction or a reinstatement; it reports them as false, which reads as “fine”.
Bibliographic record
Abstract
BACKGROUND: To evaluate the efficacy and safety of intra-articular methylprednisolone for reducing pain in patients with knee osteoarthritis. METHODS: We conduct electronic searches of Medline (1966-2017.11), PubMed (1966-2017.11), Embase (1980-2017.11), ScienceDirect (1985-2017.11), and the Cochrane Library (1900-2017.11) for randomized clinical trials comparing the use of methylprednisolone to treat knee osteoarthritis. The primary outcomes are Western Ontario and McMaster Universities Arthritis Index (WOMAC) pain scores and WOMAC function scores. Each outcome was combined and calculated using the statistical software STATA 12.0. Fixed/random effect model was adopted based on the heterogeneity tested by I statistic. RESULTS: A total of 739 patients were analyzed across 4 randomized controlled trials (RCTs). The present meta-analysis revealed that there were significant differences between groups regarding the WOMAC pain scores at 4 weeks (WMD = -1.384, 95% CI: -1.975 to -0.793, P = .000), 12 weeks (WMD = -1.587, 95% CI: -2.489 to -0.685, P = .001), and 24 weeks (WMD = -1.563, 95% CI: -2.245 to -0.881, P = .000). Significant differences were identified in terms of physical function at 4 weeks (WMD = -7.925, 95% CI: -13.359 to -2.491, P = .004), 12 weeks (WMD = -7.314, 95% CI: -13.308 to -1.320, P = .117), and 24 weeks (WMD = -6.484, 95% CI: -11.256 to -1.711, P = .008). CONCLUSION: Intra-articular methylprednisolone injection was associated with an improved pain relief and physical function in patients with knee osteoarthritis. Additionally, no severe adverse effects were observed. Due to the limited quality of the evidence currently available, higher quality RCTs were required.
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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 | 0.010 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.006 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| 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".