Does kinesio taping plus exercise improve pain and function in patients with knee osteoarthritis?: A systematic review and meta-analysis of randomized controlled trials
Bibliographic record
Abstract
Background: Kinesio taping (KT) and exercise are described for improving pain and function of knee osteoarthritis (KOA) patients in most studies. However, the question remains if KT plus exercise is better than only exercise treatment. Objective: To perform a systematic review and meta-analysis of randomized controlled trials (RCTs) to assess the effects of KT plus exercise in improving pain and knee function of KOA patients. Methods: The databases PubMed, Cochrane Library, EMBASE, Springer, web of science and China National Knowledge Internet (CNKI) were searched till July 2022. People diagnosed with KOA were included. The intervention was KT plus exercise, but the comparison group was intervened only with exercise. Outcome measures were the Visual Analogue Scale (VAS) score, Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) score, and Timed Up and Go (TUG). Only RCTs were included. The Review Manager software (Version 5.3.5) was used to assess risk of bias, statistical heterogeneity and meta-analysis. Results: The inclusion criteria were satisfied by 642 individuals from sixteen RCTs. There was a significant difference between KT plus exercise group and only exercise group in terms of VAS score after intervention (mean difference (MD) = −0.86; 95% CI = −1.32 to −0.40; p = 0.0003). In terms of VAS at follow-up period (MD = −0.58; 95% CI = −1.41 to 0.25; p = 0.17), WOMAC score (MD = 0.28; 95% CI = −9.16 to 9.71; p = 0.95) and TUG after intervention (MD = −0.74; 95% CI = −1.72 to 0.24; p = 0.14), no significant difference was found. Conclusion: Although KT plus exercise reduced pain better than exercise, it did not enhance knee function in patients with KOA. These conclusions may change when more high-quality research is conducted.
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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 | 0.040 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.029 | 0.038 |
| Bibliometrics | 0.008 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.003 | 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".