THE MENISCAL TEAR OUTCOME (METRO) STUDY: A PROSPECTIVE NATIONAL COHORT STUDY EXPLORING THE OUTCOMES OF PATIENTS WITH A MENISCAL TEAR
Bibliographic record
Abstract
Abstract Introduction Previous research has demonstrated no clinically significant benefit of arthroscopic meniscectomy in patients with a meniscal tear, however, patients included in these studies would not meet current treatment recommendations. Prior to further randomised controlled trials (RCTs) research is needed to understand a younger population in more detail. Aim To describe the baseline characteristics of patients with a meniscal tear and explore any association between baseline characteristics and outcome. Methodology A prospective, national multicentre cohort study was performed recruiting patients aged 18 to 55 presenting to secondary care. MRI analysis of arthritis was performed using Whole Organ Magnetic Resonance Imaging Score (WORMS) and bone shape analysis. Outcomes included the Western Ontario Meniscal Evaluation Tool (WOMET) and Knee Injury and Osteoarthritis Outcome Score (KOOS4) at 12 months. Results 150 participants were recruited across eight sites with a mean age of 43.47 (SD 9.63). MRI analysis using WORMS score and bone shape analysis revealed no or early osteoarthritis. At 12 months, 67 (44.67%) of participants were managed non-operatively and 68 (45.33%) were operatively. Participants in the operative group were significantly younger with a lower BMI (p<0.05). A stepwise logistic regression model including 17 characteristics revealed that only baseline score and surgery significantly affected 12-month WOMET and KOOS4. Conclusion This study in contrast to previous trials demonstrated a benefit of surgery for patients with a meniscal tear. The METRO study demonstrates that it is feasible to recruit younger patients and a future RCT is required using the study population included in this cohort.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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".