A Pre-Operative Exercise Intervention Can Be Safely Delivered to People with Femoroacetabular Impingement and Improve Clinical and Biomechanical Outcomes
Bibliographic record
Abstract
Purpose: This study aimed to investigate the effects of a pre–hip arthroscopy exercise intervention on hip strength, pain, and function in individuals with femoroacetabular impingement (FAI). Methods: A total of 20 individuals with FAI completed a 10-week, partially supervised exercise programme; this included three phases of increasing resistance and functionality, consisting of four to six exercises per phase. Hip strength in all six directions; hip pain; function, as measured by the Hip disability and Osteoarthritis Outcome Score (HOOS); and objective physical function, as measured by the Timed Stair Climb test, were determined before and after the intervention. Results: Maximum isometric hip strength significantly increased in abduction (p=0.008), adduction (p=0.021), and internal rotation (p=0.006) at follow-up. Increases in flexion, extension, and external rotation strength did not reach statistical significance. Self-reported HOOS pain (p<0.01) and activities of daily living sub-scale scores (p<0.01) significantly improved at follow-up. Timed Stair Climb times (p<0.001) also significantly decreased at follow-up. Conclusion: A 10-week exercise programme can be safely completed by adults with FAI before surgery, and statistically significant changes in strength, function, and self-reported clinical outcomes can be achieved.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.003 | 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".