Ultrasound-guided tendon fenestration versus open-release surgery for the treatment of chronic lateral epicondylosis of the elbow: protocol for a prospective, randomised, single blinded study
Bibliographic record
Abstract
Introduction Chronic lateral epicondylosis (CLE) of the elbow is a prevalent condition among middle-aged people with no consensus on optimal care management but for which surgery is generally accepted as a second intention treatment. Among conservative treatment options, ultrasound (US)-guided fenestration has shown encouraging results that should be explored before surgery is considered. The primary objective of this study is to compare the efficacy of US-guided fenestration with open-release surgery in patients with failure to improve following a minimum 6 months of conservative treatment. Methods and analysis This study protocol entails a two-arm, single-blinded, randomised, controlled design. Sixty-four eligible patients with clinically confirmed CLE will be assigned to either US-guided fenestration or open-release surgery. Fisher’s exact test will be used to compare the proportion of patients reporting a change of 11/100 points or more in the Patient Rated Tennis Elbow Evaluation score at 6 months, according to an intention-to-treat analysis. Secondary analyses will compare the two treatment groups in terms of pain and disability, functional limitations at work, pain-free grip strength, medication burden, patients’ global impression of change and level of satisfaction at 6 weeks, 3, 6 and 12 months, using mixed linear models for repeated measures or Fisher’s exact test, as appropriate. Finally, recursive partitioning analyses will investigate US and elastography parameters as predictors of treatment success at 6 and 12 months. This data will contribute to evidence-based treatment guidelines for CLE and explore the value of imaging biomarkers to improve risk stratification plans and assist clinicians. Ethics and dissemination The study has been approved by the Research Ethics Board of our institution on 23 March 2016 (REB 15.327). In case of important protocol modifications, a new version of the protocol with appropriate amendments will be submitted to the REB for approval. Study results will be published in peer-reviewed journals and presented at local, national and international conferences. Trial registration number NCT02710682 .
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".