Ultrasound-guided suprainguinal fascia iliaca compartment block and early postoperative analgesia after total hip arthroplasty: a randomised controlled trial
Bibliographic record
Abstract
BACKGROUND: Hip replacement surgery can be painful; postoperative analgesia is crucial for comfort and to facilitate recovery. Regional anaesthesia can reduce pain and postoperative opioid requirements. The role of ultrasound-guided suprainguinal fascia iliaca block for analgesia after elective total hip arthroplasty is not well defined. This randomised trial evaluated its analgesic efficacy. METHODS: Consenting participants (134) scheduled for elective primary total hip arthroplasty under spinal anaesthesia were randomly allocated to receive ultrasound-guided fascia iliaca block with ropivacaine 0.5% or sham block with saline. The primary outcome was opioid consumption in the first 24 h after surgery. Additional outcomes included pain scores at 4, 8, 12, and 16 h, opioid-related side-effects (nausea, vomiting, pruritis), ability to perform physiotherapy on the first postoperative day, and physiotherapist-assessed quadriceps weakness. RESULTS: There were no significant differences in 24-h opioid consumption (block vs sham block, mean difference -3.2 mg oral morphine equivalent, 95% confidence interval -15.3 to 8.1 mg oral morphine equivalent, P=0.55) or any other prespecified outcomes. CONCLUSIONS: In patients undergoing primary total hip arthroplasty, ultrasound-guided suprainguinal fascia iliaca block with ropivacaine did not confer a significant opioid-sparing effect compared with sham block. There were no differences in other secondary outcomes including pain scores, opioid-related side-effects, or ability to perform physiotherapy on the first postoperative day. CLINICAL TRIAL REGISTRATION: www. CLINICALTRIALS: gov (NCT03069183).
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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".