Predictors of Health-related Quality-of-life Change after Total Hip Arthroplasty
Bibliographic record
Abstract
UNLABELLED: Various parameters have been considered as possible predictors of health-related quality-of-life outcomes after THA in patients with hip osteoarthritis. We hypothesized the preintervention health status is the main and more homogeneous predictor of changes of the different aspects of health-related quality-of-life outcomes, mental health status has an important influence on results, whereas other sociodemographic or clinical factors had only a punctual influence. All patients who fulfilled the selection criteria completed the Medical Outcomes Study SF-36 and the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) before and 6 months after the intervention. Seven hundred eighty-eight patients completed the questionnaire before the intervention and 590 completed it (74.9%) at 6 months. The preintervention score in each SF-36 and WOMAC domain and the SF-36 mental health domain predicted changes after the intervention. Female gender, having comorbidities, contralateral hip osteoarthritis, or back pain predicted less improvement on some SF-36 domains. Older age, the presence of contralateral hip osteoarthritis, or back pain predicted less improvement on some of the WOMAC domains. Preintervention health status, measured by the WOMAC or SF-36, and mental health status uniformly predicted health-related quality-of-life changes, whereas some clinical parameters predicted some domains. SF-36 and WOMAC seem to be appropriate tools for predicting THA outcomes. LEVEL OF EVIDENCE: Level II, prognostic study. See Guidelines for Authors for a complete description of levels of evidence.
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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 | 0.008 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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".