Efficacy of continuous local cryotherapy following total hip arthroplasty
Bibliographic record
Abstract
BACKGROUND: Cryotherapy is rarely reported on the usefulness of cryotherapy applied after total hip arthroplasty (THA), and there are no reports about patient satisfaction against the cryotherapy following THA. The aim of this study was whether cryotherapy can be useful for relieving pain, reducing blood loss, and swelling, and improving patient satisfaction after THA. METHODS: Thirty patients who had undergone THA were treated by a controlled cooling device for 72 h following THA (defined as the cryotherapy group). The other 30 patients without cryotherapy were not treated with cryotherapy (defined as the control group). Blood samples (creatine kinase, and C-reactive protein), estimated blood loss, visual analog scale (VAS) of pain score, total doses of diclofenac sodium suppository used for pain relief, thigh swelling, Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) score, and adverse outcomes were compared between two groups. RESULTS: Thigh circumference, measured on only day 4 postoperatively, was significantly lower in the cryotherapy than in the control group. Furthermore, patient satisfaction on postoperative days 4 and 7 was significantly higher in the cryotherapy than in the control group. There were no significant differences in other outcomes between groups. CONCLUSIONS: These results support the potential benefit of cryotherapy for the reduction of swelling, and patient satisfaction during postoperative recovery of patients undergoing THA, even in the presence of periarticular injection and tranexamic acid administration for the prevention of postoperative pain and bleeding. Postoperative cryotherapy is a potentially simple, noninvasive, and relatively inexpensive option for post-THA management.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| 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".