Impact of Preoperative Function on Early Postoperative Outcome after Total Hip Arthroplasty
Bibliographic record
Abstract
PURPOSE: To investigate the impact of preoperative functional status on early postoperative outcomes after total hip arthroplasty (THA). METHODS: 39 men and 36 women aged 50 to 76 years who underwent cementless THA for osteoarthritis were followed up for at least 2 years. Patients were evaluated pre- and post-operatively (at 6, 12, and 24 months) using the Harris Hip Score (HHS), 36-item Short Form Health Survey (SF-36), and Western Ontario and McMaster University Osteoarthritis Index (WOMAC). Patients were classified into 3 groups based on their preoperative HHS (poor, <45; intermediate, 45-55; good, >55). Differences between and within groups were compared. RESULTS: Patients with a poor preoperative HHS had worse early postoperative outcomes in terms of HHS, SF-36, and WOMAC. Postoperative pain and function correlated with preoperative HHS, but postoperative range of motion and deformity did not. CONCLUSION: Poor preoperative function may affect recovery unfavourably and lead to prolonged pain. Earlier THA in the course of functional decline may associate with better outcomes.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".