Health-Related Quality of Life and Appropriateness of Knee or Hip Joint Replacement
Bibliographic record
Abstract
BACKGROUND: We studied the association between explicit appropriateness criteria for total hip joint replacement (THR) and total knee replacement (TKR) with changes in health-related quality of life of patients undergoing these procedures. METHODS: Prospective observational study of 1576 consecutive patients with diagnoses of osteoarthritis on waiting lists to undergo THR or TKR. Explicit appropriateness criteria using the RAND appropriateness method were applied. Patients completed 2 questionnaires that measured health-related quality of life, the Medical Outcomes Study 36-Item Short-Form Health Survey (SF-36) and the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC), before the procedure and 6 months afterward. RESULTS: Patients who were considered appropriate candidates for these procedures had greater improvements than those who were considered inappropriate candidates in all 3 WOMAC domains (pain, functional limitation, and stiffness; THR: 43.0, 40.6, and 40.4 vs 14.7, 19.1, and 15.9; TKR: 34.9, 32.5, and 30.2 vs 23.2, 18.9, and 17.1; P<.001 for all comparisons). Patients who underwent THR and were judged to be appropriate candidates had greater improvements in the physical function, role-physical, bodily pain, and social function domains of the SF-36 than those judged to be inappropriate candidates (34.4, 35.1, 33.1, and 26.6 vs 19.6, 9.2, 5.7, and 7.0; P = .04, P = .03, P < .001, and P < .001, respectively). Appropriate candidates for TKR demonstrated greater improvement in the social function domain of the SF-36 after the procedure than those deemed inappropriate candidates (19.9 vs 7.9; P = .004) but not in the other domains of functional status. CONCLUSIONS: These results suggest a direct relationship between explicit appropriateness criteria and better health-related quality-of-life outcomes after THR and TKR surgery. Our results support the use of these criteria for clinical guidelines or evaluation purposes.
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.001 | 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 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".