Total Knee Replacement Outcome and Coexisting Physical and Emotional Illness
Bibliographic record
Abstract
Despite widespread acceptance of total knee replacement surgery's clinical effectiveness, variation persists in long-term functional outcome. Our aim was to quantify the relative contributions of physical and emotional coexisting conditions to the variation in improvement in 12-month post-total knee replacement physical function. Data from 165 patients who had primary total knee replacement (62% women; mean age 68 years) were evaluated. Eighty-four percent had at least one comorbid illness, with cardiovascular conditions the most prevalent (61%). Mean improvement in 12-month general function (Short Form-36 Physical Component Score) and knee-specific function (Western Ontario and McMaster Universities Osteoarthritis Index) was similar for patients with and without comorbid medical diagnoses. Adding coexisting conditions to age, gender, and baseline physical function did not improve the model's ability to explain variation in 12-month physical function as measured by either Short Form-36 Physical Component Score or Western Ontario and McMaster Universities Osteoarthritis Index. Although coexisting medical conditions did not predict the degree of 12 month post-total knee replacement functional improvement, poorer pre-total knee replacement emotional health (Short Form-36 Mental Component Score) was associated with smaller improvements in Short Form-36 Physical Component Score and Western Ontario and McMaster Universities Osteoarthritis Index. The lack of a relationship between the presence of coexisting medical diagnoses and 12-month physical function in this study is important for patients and orthopedic surgeons.
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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 | 0.000 |
| 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 | 0.002 |
| 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".