Ultrasound-guided femoral access in patients with vascular closure devices: a prespecified analysis of the randomised UNIVERSAL trial
Bibliographic record
Abstract
BACKGROUND: Whether ultrasound (US)-guided femoral access compared to femoral access without US guidance decreases access site complications in patients receiving a vascular closure device (VCD) is unclear. AIMS: We aimed to compare the safety of VCD in patients undergoing US-guided versus non-US-guided femoral arterial access for coronary procedures. METHODS: We performed a prespecified subgroup analysis of the UNIVERSAL trial, a multicentre randomised controlled trial of 1:1 US-guided femoral access versus non-US-guided femoral access, stratified for planned VCD use, for coronary procedures on a background of fluoroscopic landmarking. The primary endpoint was a composite of major Bleeding Academic Research Consortium 2, 3 or 5 bleeding and vascular complications at 30 days. RESULTS: Of 621 patients, 328 (52.8%) received a VCD (86% ANGIO-SEAL, 14% ProGlide). In patients who received a VCD, those randomised to US-guided femoral access compared to non-US-guided femoral access experienced a reduction in major bleeding or vascular complications (20/170 [11.8%] vs 37/158 [23.4%], odds ratio [OR] 0.44, 95% confidence interval [CI]: 0.23-0.82). In patients who did not receive a VCD, there was no difference between the US- and non-US-guided femoral access groups, respectively (20/141 [14.2%] vs 13/152 [8.6%], OR 1.76, 95% CI: 0.80-4.03; interaction p=0.004). CONCLUSIONS: In patients receiving a VCD after coronary procedures, US-guided femoral access was associated with fewer bleeding and vascular complications compared to femoral access without US guidance. US guidance for femoral access may be particularly beneficial when VCD are used.
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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 | 0.007 | 0.013 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.008 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".