The burden of wait for knee replacement surgery: effects on pain, function and health-related quality of life at the time of surgery
Bibliographic record
Abstract
OBJECTIVE: To examine the change in pain and function related to the knee scheduled for surgery, change in health-related quality of life (HRQoL) and change in contralateral knee pain during pre-surgery wait up until time of surgery. METHODS: One hundred and fifty-three patients scheduled for knee replacement were recruited from three hospitals in Québec City, Canada, and followed until surgery. Pre-surgery wait, defined as the time between enrolment on the pre-surgery wait list and surgery, was considered in five categories (< or =3, >3-6, >6-9, >9-12 and >12 months). Pain and functional limitations were measured with the Western Ontario and McMaster Osteoarthritis Index (WOMAC) and HRQoL was measured with the medical outcomes study 36-item short form health survey. RESULTS: Mean pre-surgery wait time was 183 (s.d. 121.9) days. Subjects having waited >9-12 months showed significant deterioration of the WOMAC pain (-9.9; 95% CI -19.2, -0.54) and function (-11.1; 95% CI -18.7, -3.4) scores. On the HRQoL SF-36 physical functioning scale, a significant deterioration was seen in subjects having waited >9-12 months (-11.3; 95% CI -18.4, -4.2) and >12 months (-7.1; 95% CI -12.9, -1.3). On the contralateral knee WOMAC pain score, a significant deterioration was observed in subjects having waited >6-9 months (-10.4; 95% CI -16.9, -3.9) and >12 months (-10.7; 95% CI -19.7, -1.7). CONCLUSION: Pre-surgery wait time has a negative significant impact on pain, function and HRQoL at the time of surgery. The magnitude of deterioration seen in this study may be clinically important. The effects of this pre-surgery deterioration on post-surgery outcomes need to be investigated.
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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 | 0.006 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".