Factors Associated With Calf Muscle Endurance Recovery 1 Year After Achilles Tendon Rupture Repair
Bibliographic record
Abstract
STUDY DESIGN: Cohort study. OBJECTIVES: To describe calf muscle endurance recovery and to explore factors predictive of poor calf muscle endurance recovery 1 year after surgical repair of an Achilles tendon rupture (ATR). BACKGROUND: ATR is a common sports-related injury and is often managed with open surgical repair. After ATR repair most patients return to usual activities 6 months after surgery. However, calf endurance impairment can persist up to 6 years, possibly impacting performance of daily activities and sport. METHODS: A secondary analysis of a 73-patient cohort from a randomized controlled trial assessing the effects of early weight bearing after surgical repair of an ATR was performed. Calf muscle endurance recovery was measured by single-heel raises using a customized counting device at 6 months and 1 year postoperatively. Descriptive statistics were used to outline recovery of calf muscle endurance. Physical and patient-reported outcomes were examined for their association with calf-muscle endurance recovery. Multiple linear regression analysis was performed to explore variables associated with recovery of calf endurance 1 year postoperatively. RESULTS: Mean recovery of calf muscle endurance was 76% at 1 year. Multivariate regression analysis showed an association of being female, reporting no resting pain at 3 months, and physical functioning and calf endurance at 6 months, with better recovery of calf endurance at 1 year. CONCLUSIONS: Calf muscle endurance at 1 year remained impaired in a considerable portion of the sample. Pain, gender, and physical functioning are likely important factors in determining recovery of calf muscle endurance. LEVEL OF EVIDENCE: Prognosis, level 2b.J Orthop Sports Phys Ther 2010;40(6):345-351, Epub 15 April 2010. doi:10.2519/jospt.2010.3204.
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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 | 0.001 |
| 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".