Ultrasound guidance for transfemoral access in coronary procedures: an individual participant-level data metaanalysis from the femoral ultrasound trialist collaboration
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Bibliographic record
Abstract
BACKGROUND: Randomised controlled trials of ultrasound (US)-guided transfemoral access (TFA) for coronary procedures have shown mixed results. AIMS: We aimed to compare US-guided versus non-US-guided TFA from randomised data in an individual participant-level data (IPD) meta-analysis. METHODS: We completed a systematic review and an IPD meta-analysis of all randomised controlled trials comparing US-guided versus non-US-guided TFA for coronary procedures. We performed a one-stage mixed-model meta-analysis using the intention-to-treat population from included trials. The primary outcome was a composite of major vascular complications or major bleeding within 30 days. RESULTS: A total of 2,441 participants (1,208 US-guided, 1,233 non-US-guided) from 4 randomised clinical trials were included. The mean age was 65.5 years, 27.0% were female, and 34.5% underwent a percutaneous coronary intervention. The incidence of major vascular complications or major bleeding (34/1,208 [2.8%] vs 55/1,233 [4.5%]; odds ratio [OR] 0.61, 95% confidence interval [CI]: 0.39-0.94; p=0.026) was lower in the US-guided TFA group. In the prespecified subgroup of participants who received a vascular closure device, those randomised to US-guided TFA experienced a reduction in the primary outcome (2.1% vs 5.6%; OR 0.36, 95% CI: 0.19-0.69), while no benefit for US guidance was observed in the subgroup without vascular closure devices (4.1% vs 3.3%; OR 1.21, 95% CI: 0.65-2.26; interaction p=0.009). CONCLUSIONS: In participants undergoing coronary procedures by TFA, US guidance decreased the composite outcome of major vascular complications or bleeding and may be especially helpful when using vascular closure devices.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it