Perioperative Dexamethasone Does Not Affect Functional Outcome in Total Hip Arthroplasty
Bibliographic record
Abstract
UNLABELLED: Current trends in orthopaedic surgery have explored different forms of adjuvant treatments to minimize postoperative pain and the risk of nausea and vomiting. A small single preoperative dose of dexamethasone, as part of a comprehensive multimodal analgesic regimen in low-risk patients undergoing total hip arthroplasty (THA), provides antiemetic and opioid-sparing effects but the longer-term effects on pain, complications, or function are not known. We therefore asked whether such a routine would affect longer-term pain, complications, or function. Fifty patients undergoing elective primary THA using spinal anesthesia were initially randomized to receive either dexamethasone (40 mg intravenous) or saline placebo. The patients, anesthesiologists, nurses, and research coordinators were blinded to the study arms. The functional outcome was measured using the Harris hip score. Outcomes were assessed 6 weeks and 1 year postoperatively. We observed no difference in resting pain between the two groups at either time period. Both groups had similar functional outcome scores for the total Harris hip score and individual scoring items at each followup interval. There were no wound complications, deep infections, or osteonecrosis in the contralateral hip at 1-year followup. We recommend the addition of a small single preoperative dose of dexamethasone to a comprehensive multimodal analgesic regimen in low-risk patients given its immediate antiemetic and opioid-sparing effects, and absence of subsequent effects. LEVEL OF EVIDENCE: Level II, therapeutic study (prospective comparative study). See the Guidelines for Authors for a complete description of levels of evidence.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.009 |
| 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 | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".