Effect of preoperative physical education on postoperative outcome in patients with total hip replacement – a prospective cohort study
Bibliographic record
Abstract
Hip osteoarthritis is the leading cause of hip pain around the world. Patients are aiming to relieve pain as fast as possible and return to everyday activities. The aim of the study was to investigate the effect of preoperative physical education on postoperative rehabilitation in patients after total hip arthroplasty (THA). There were 60 patients divided in two equal groups. One group underwent 3-day preoperative education and the other did not. The two groups were compared according to their preoperative and postoperative visual analog scale (VAS), range of motion (ROM), Harris Hip Score (HHS), Western Ontario and McMaster Universities Arthritis Index (WOMAC), and 36-Item Short Form Survey (SF-36). Patient general characteristics were similar in the two groups. Patients that received preoperative training had lower VAS scores, greater ROM, higher HHS and lower WOMAC score on postoperative day 42 (p<0.05 all). These patients had no complications. There were no between-group differences in the SF-36 questionnaire. In conclusion, patients that underwent preoperative rehabilitation protocol before THA had lower pain and disability scores and better functional outcomes.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".