Bibliographic record
Abstract
BACKGROUND: The symptoms of hip osteoarthritis (OA) influence instrumental activities of daily living (IADL).Evidence form previous studies suggest that body functions and walking speed are important etiological factors for IADL.However, no studies have investigated which factors that have the greatest influence on IADL. OBJECTIVE:The aims of this study were ( 1) to analyze factors related to IADL in patients with hip OA, including 10 m walking speed (10 mWS), and (2) to establish cut-off values for factors that predict maintenance of IADL.METHODS: Forty-eight patients participated in this study.IADL was treated as dependent variable.Range of motion (ROM), muscle strength of the hips and knees, and 10 mWS were measured as independent variables.Other potential confounding factors were also measured.Data were analyzed using hierarchical multiple regression and Receiver Operating Characteristic curve analysis. RESULTS:The hip flexion ROM on the affected side and 10 mWS were selected as significant variables in this study.The cut-off values obtained were 92.5 degrees for the hip flexion ROM on the affected side and 42.3 m/min for 10 mWS. CONCLUSIONS:The suggested target associated with maintaining IADL in patients with hip OA is the cut-off value of 42.3 m/min for 10 mWS found in this study.
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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 | 0.004 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.011 | 0.010 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.039 | 0.020 |
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".