Do Sociodemographic Factors Relate to Walking Ability in Individuals Who Underwent Total Knee Arthroplasty?
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND AND PURPOSE: Knee osteoarthritis is one of the most common health problems in older adults and total knee arthroplasty (TKA) is able to improve walking ability in these individuals. There have been few studies investigating whether sociodemographic factors influence walking ability after TKA. The aim of this study was to examine which sociodemographic factors relate to walking ability in Japanese older adults following TKA during the acute stage of recovery. METHODS: This prospective cohort study included 388 participants, from a multicenter database, who underwent TKA. The Timed Up and Go test 2 weeks after TKA was the dependent variable. Sociodemographic factors including age, sex, body mass index, marital status, and academic qualification were independent variables. In addition, type of surgery and severity of osteoarthritis were measured as confounding variables. A hierarchical multiple regression analysis was used to predict the factors that have the greatest influence on walking ability. Models were examined with and without confounding factors. RESULTS AND DISCUSSION: In the final regression model, older age, conventional TKA approaches, increased severity of Kellgren-Lawrence grade, and women were associated with longer Timed Up and Go time. Academic qualification and marital status were not related to walking ability. CONCLUSIONS: Our results suggest that age, type of surgery, severity of osteoarthritis, and sex are related to Timed Up and Go time during the acute stage following TKA and need to be assessed.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| 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 it