Bilateral Quadriceps Muscle Strength and Pain Correlate With Gait Speed and Gait Endurance Early After Unilateral Total Knee Arthroplasty
Bibliographic record
Abstract
OBJECTIVE: The aim of this study was to determine the correlations between objective performance-based physical function, self-reported physical function, quality of life, and gait function at 1 mo after unilateral total knee arthroplasty. DESIGN: Cross-sectional data from 195 patients who underwent unilateral primary total knee arthroplasty were analyzed. The isometric knee extensor and flexor strength of both knees, gait parameters, 6-min walk test, timed up-and-go test, timed stair-climbing test, knee flexion and extension range of motion of surgical knee, Western Ontario McMaster Universities Osteoarthritis Index pain, stiffness, and functional levels, EuroQol five-dimensions questionnaire, and visual analog scale for knee pain were assessed. RESULTS: In bivariate analyses, both postoperative gait speed and gait endurance had significant positive correlations with postoperative peak torque of the extensor and flexor of both knees, cadence, stride length, and significant negative correlation with timed up-and-go, stair-climbing test ascent, stair-climbing test descent, visual analog scale, Western Ontario McMaster Universities Osteoarthritis Index pain, stiffness, and function levels. In the linear regression analyses, postoperative peak torque of the extensors of both knees and VAS for knee pain were factors correlated with postoperative gait speed and gait endurance. CONCLUSIONS: Quadriceps muscle strength of both knees and knee pain were important factors correlated with gait function early after total knee arthroplasty.
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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 | 0.003 |
| 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) | 0.002 | 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".