Effect of preoperative exercise on measures of functional status in men and women undergoing total hip and knee arthroplasty
Bibliographic record
Abstract
OBJECTIVE: To evaluate the effect of a short preoperative exercise intervention on the functional status, pain, and muscle strength of patients before and after total joint arthroplasty. METHODS: A total of 108 men and women scheduled for total hip arthroplasty (THA) or total knee arthroplasty (TKA) were randomized to a 6-week exercise or education (control) intervention immediately prior to surgery. We assessed outcomes through questionnaires and performance measures. Analyses examined differences between groups over the preoperative and immediate postoperative periods and at 8 and 26 weeks postsurgery. RESULTS: Among THA patients, the exercise intervention was associated with improvements in preoperative Western Ontario and McMaster Universities Osteoarthritis Index function score (improvement of 2.2 in exercisers versus decline of 3.9 in controls; P = 0.02) and Short Form 36 physical function score (decline of 0.4 in exercisers versus decline of 14.3 in controls; P = 0.003). No significant differences were seen in TKA patients. Exercise participation increased muscle strength preoperatively (18% in THA patients and 20% in TKA patients), whereas the control patients had essentially no change in strength (P > 0.05 for exercise versus education in both THA and TKA groups). Exercise participation prior to total joint arthroplasty substantially reduced the risk of discharge to a rehabilitation facility in THA and TKA patients (adjusted odds ratio 0.27, 95% confidence interval 0.074-0.998). The intervention had no effects on outcomes 8 and 26 weeks postoperatively. CONCLUSION: A 6-week presurgical exercise program can safely improve preoperative functional status and muscle strength levels in persons undergoing THA. Additionally, exercise participation prior to total joint arthroplasty dramatically reduces the odds of inpatient rehabilitation.
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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 | 0.005 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".