Nonoperative treatment of lateral epicondylitis: a systematic review and meta-analysis
Bibliographic record
Abstract
BACKGROUND: There is an ongoing controversy regarding the nonoperative treatment of lateral epicondylitis. Given that the evidence surrounding the use of various treatment options for lateral epicondylitis has expanded, an overall assessment of nonoperative treatment options is required. The purpose of this systematic review and meta-analysis was to compare physiotherapy (strengthening), corticosteroids (CSIs), platelet-rich plasma (PRP), and autologous blood (AB) with no active treatment or placebo control in patients with lateral epicondylitis. METHODS: MEDLINE, Embase, and Cochrane were searched through till March 8, 2021. Additional studies were identified from reviews. All English-language randomized trials comparing nonoperative treatment of patients >18 years of age with lateral epicondylitis were included. RESULTS: A total of 5 randomized studies compared physiotherapy (strengthening) with no active treatment. There were no significant differences in pain (mean difference: -0.07, 95% confidence interval [CI]: -0.56 to 0.41) or function (standardized mean difference [SMD]: -0.08, 95% CI: -0.46 to 0.30). Seven studies compared CSI with a control. The control group had statistically superior pain (mean difference: 0.70, 95% CI: 0.22 to 1.18) and functional scores (SMD: -0.35, 95% CI: -0.54 to -0.16). Two studies compared PRP with controls, and no differences were found in pain (SD: -0.15, 95% CI: -1.89 to 1.35) or function (SMD: 0.14, 95% CI: -0.45 to 0.73). Three studies compared AB with controls, and no differences were observed in pain (0.49, 95% CI: -2.35 to 3.33) or function (-0.07, 95% CI: -0.64 to 0.50). DISCUSSION: The available evidence does not support the use of nonoperative treatment options including physiotherapy (strengthening), CSI, PRP, or AB in the treatment of lateral epicondylitis.
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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 | 0.015 | 0.030 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.021 | 0.033 |
| Bibliometrics | 0.007 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.002 | 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".