Influence of Patient Factors on TKA Outcomes at 5 to 11 Years Followup
Bibliographic record
Abstract
Many studies suggest patient factors influence TKA outcomes, but the reported data are controversial, due perhaps in part to using only postoperative scores rather than change in scores from pre- to postoperatively. We examined the effect of gender, age, diagnosis, and obesity on changes in pre- to postoperative outcome measures (Knee Society clinical rating, WOMAC, and SF-12) in a cohort of 843 consecutive knee arthroplasties in 728 patients who received the same implant (Genesis II, Smith & Nephew, Memphis, TN). Minimum followup was 5 years (mean, 9.5 years; range, 5-11 years). Kaplan Meier survivorship was 98% +/- 0.007 with any reoperation as an end point. Male and female patients had similar increases in postoperative scores. Diagnosis and obesity made no difference in postoperative increases. However, less improvement occurred in health-related quality-of-life outcomes scores with advancing age.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".