Primary Total Knee Arthroplasty: Correlation between Preoperative Radiographic Severity of Arthritis and Postoperative Patient Satisfaction
Bibliographic record
Abstract
Abstract Predicting postoperative outcomes following total knee arthroplasty (TKA) is important for patient selection. This study focuses on patient-reported outcomes and satisfaction in relation to preoperative radiographic arthritis severity. A retrospective chart review of 420 TKAs was performed. Patient satisfaction was determined using a structured telephone survey with questions focused on degree of satisfaction whether they would have surgery again and their ability to kneel. The radiographic severity of the arthritis of the tibiofemoral joint was graded by a musculoskeletal radiologist using the Kellgren–Lawrence grading scale. The patellofemoral compartment was graded using the scale described by Jones et al. Those grouped as severe arthritis had an overall satisfaction rate of 96% (76% fully satisfied and 20% partially satisfied) compared with 82% of the time (64% fully satisfied and 18% partially satisfied) if their arthritis was mild. Postoperatively 51% of TKA patients were able to kneel. Univariate logistic regression showed an association between higher rates of satisfaction and male gender (p = 0.053), severity of preoperative radiographic arthritis (p = 0.034) those who would have surgery again (p ≤ 0.0001) and those able to kneel (p = 0.005). Patients should be informed preoperatively that if their arthritis is only mild radiographically, their outcomes are less predictable. There should also be a discussion surrounding kneeling and activities patients do, which may require kneeling, as many are unable to kneel postoperatively. The Level of Evidence for the study is III.
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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 | 0.000 |
| 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 | 0.001 |
| 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".