Radial Artery Versus Femoral Artery Access Options in Coronary Angiogram Procedures
Bibliographic record
Abstract
BACKGROUND: Vascular access options in coronary angiography can be considered a preference-sensitive decision, where the benefits/risks have different levels of significance, depending on the individual patient. For preference-sensitive healthcare options, patient decision aids (PtDA) significantly improve the process of decision-making. The purpose of this trial was to evaluate the effectiveness of an evidence-based PtDA compared with usual care in patients eligible for radial and femoral artery access. METHODS AND RESULTS: We conducted a single-center, nonblinded, randomized controlled trial with patients eligible for both femoral and radial access as per their treating physician. The PtDA was designed to guide patients to make an informed choice, consistent with their preferences and values. The primary outcome, decisional conflict, was assessed using the validated decisional conflict scale. One hundred fifty patients were randomized (vascular access PtDA=76 versus usual care=74). The intervention group had a significantly reduced decisional conflict scale compared with control (unadjusted 14.8 versus 19.5, P=0.04) and were significantly more knowledgeable regarding risks/benefits associated with each vascular access (mean knowledge score 3/5 (95% confidence interval, 2.6 to 3.3) versus 2/5 (95% confidence interval, 1.7 to 2.3, P<0.01). PtDA patients had better informed value congruence with their vascular access received (47.3% versus 25.7%, P<0.01). There were no significant differences in procedural success or safety between the 2 groups. CONCLUSIONS: A vascular access PtDA for eligible patients undergoing coronary angiogram procedures reduces decisional conflict and improves value congruence and the patients' knowledge of their healthcare options; however, a multicenter study, powered to confirm these benefits and evaluate differences in procedural success or complications, is required.
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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 | 0.005 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".