A randomised trial comparing spatio-temporal gait parameters after total hip arthroplasty between the direct anterior and direct lateral surgical approaches
Bibliographic record
Abstract
Introduction: Total hip arthroplasty (THA) is a successful procedure for relieving symptoms of severe osteoarthritis. Surgical approach is a key factor in early recovery and although controversial, little has been written about the direct anterior (DA) approach using objective early measures. Methods: 78 participants were prospectively enrolled to undergo a THA through either a DA or direct lateral (DL) surgical approach. Outcome measures were collected preoperatively and at discharge from the hospital, and 2-, 6- and 12-weeks. Outcome measures included the GAITRite ® system to measure gait velocity, stride length, single-limb support and single-limb support symmetry. At each time point participants also completed the Timed Up and Go (TUG), the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC), 12-Item Short-Form Survey (SF-12), Harris Hip Score, and pain visual analog scale (VAS). Results: We found statistically significant differences in gait velocity at discharge, 2-weeks and 6-weeks in favour of the DA group (all p < 0.01). We also found significant differences in favour of the DA group for single-limb support symmetry at 6-weeks ( p < 0.01) and 12-weeks ( p < 0.01). The time to complete the TUG test was also significantly shorter in the DA group at 2-weeks ( p < 0.01) and 6-weeks ( p < 0.01) compared to the DL group. However, there were no statistically significant differences in any of the patient-reported outcomes. Conclusion: The DA surgical approach was found to offer significant early advantages in function compared to the DL group, with no differences in quality of life or pain.
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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) | 0.000 | 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) | 0.000 | 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".