The Impact of Prior Surgery after Total Knee Arthroplasty
Bibliographic record
Abstract
The number of total knee arthroplasty (TKA) procedures performed continues to rise. This is the first 1:1 matched cohort analysis of functional outcomes from a large prospective total joint registry. Our hypothesis is that a previous ipsilateral knee surgery is not associated with worse outcome scores following TKA. A total of 1,473 patients who underwent TKA were reviewed: 469 with a history of previous ipsilateral knee surgery and 1,004 without. After 1:1 matching, 469 patients were included in each cohort. Patients in both cohorts had statistically similar postoperative functional outcome scores, although patients without previous ipsilateral knee surgery had an increased Western Ontario and McMaster Universities Arthritis Index stiffness score. This study supports the hypothesis that previous ipsilateral knee surgery is not associated with worse functional outcomes following primary TKA.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".