Valgus knee bracing may have no long-term effect on pain improvement and functional activity in patients with knee osteoarthritis: A meta-analysis of Randomized Trials
Bibliographic record
Abstract
Abstract Background: KOA, with a high incidence in old-age population, adversely affects their life quality. The valgus knee bracing is an important physical therapy for KOA, but its clinical effects on pain release and functional improvment are remained unclear. This meta-analysis is to systematically evaluate the clinical outcomes of valgus knee bracing in patients with knee osteoarthritis (KOA). Methods : A meta-analysis of clinical randomized controlled trials (RCTs) on pain and functional changes in patients with KOA after using valgus knee braces. The search period was ranged from the inception of the database to May, 2020. The enrolled research databases included PubMed, Embase, and Web of Science databases. Two investigators independently formulated inclusion criteria and exclusion criteria, screened and determined the final enrolled literatures. Then the outcome indicators were extracted and organized from the included literature, and the risk of bias was assessed by Cochrane Handbook 5.0.1.Results :A total of 10 articles were included in this study, including 739 patients. Eight articles were related to the Visual Analogue Scale (VAS) pain score, the results showed that RR = -0.29, 95% CI [-0.73, 0.15], P = 0.20; Four articles were related to the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) function score, the results showed that RR = -0.15, 95% CI [-0.41,0.11], P = 0.26; Two articles were related to the Knee Injury and Osteoarthritis Outcome Score (KOOS), the results showed that RR = 0.58, 95% CI [-4.25, 5.42], P = 0.81; Three articles were related to the KOOS activities of daily living (KOOS-ADL), the results showed that RR = 0.04, 95% CI [-0.62,0.69], P = 0.91.These results indicated that the valgus knee bracing have no statistically significant in pain and functional activity improvement of patients with KOA. The subgroup analysis showed that the follow-up time was the source of the heterogeneity of the VAS pain score. Conclusion : Our current evidence suggests that valgus knee bracing may not improve pain release and function activates in KOA patients in the long-term period, but only being beneficial to the short-term rehabilitation.
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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 | 0.033 | 0.056 |
| Meta-epidemiology (narrow) | 0.004 | 0.002 |
| Meta-epidemiology (broad) | 0.024 | 0.071 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.004 | 0.003 |
| 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".