Locomotor deficits before and two months after knee arthroplasty
Bibliographic record
Abstract
OBJECTIVES: To quantify the locomotor deficits before and 2 months after a total knee arthroplasty (TKA) in patients with osteoarthritis of the knee, and to compare pre- and postoperative performance. METHODS: Locomotor capacity of patients was evaluated using laboratory gait and stair-ascent evaluations (kinematic and kinetic variables, electromyographic activity of 4 muscles of both lower limbs, and spatiotemporal parameters), the timed Up & Go (TUG), and the 6-minute walk (6MW) test. RESULTS: Large locomotor deficits (increased hip flexion, decreased excursions of the knee and ankle, smaller extensor and flexor moments of force at the 3 joints, and muscle activation levels lower in all muscles tested) are still present in patients, particularly in the single-limb support subphase before and 2 months after TKA. These deficits explain the slower walk and stair-ascent speeds and a reduced performance at the TUG and 6MW tests. CONCLUSIONS: These results emphasize the need for more careful followup and intensive rehabilitation programs in the first months following TKA.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".