Paclitaxel-eluting balloon and everolimus-eluting stent for provisional stenting of coronary bifurcations: 12-month results of the multicenter BIOLUX-I study
Bibliographic record
Abstract
BACKGROUND: Several studies investigated the combination of bare metal stents in the main branch and drug-eluting balloons in the side branch in bifurcation lesions, but data on the combination of drug-eluting stents and drug-eluting balloons are scarce. We aim to assess the feasibility of provisional stenting with an everolimus-eluting stent in the main branch and a paclitaxel-eluting balloon in the side branch. METHODS: In this prospective, multi-center study conducted in 5 Australian sites, 35 patients with bifurcation lesions were enrolled. Angiographic and intravascular ultrasound assessments were conducted at 9 months; clinical follow-up was conducted until 12 months. RESULTS: The primary endpoint, late lumen loss in the side branch measured by quantitative coronary angiography, was 0.10±0.43mm. No binary restenosis was observed. One patient died; 3 myocardial infarctions (one suspected and two in non-target vessels) and one target lesion revascularization occurred. No probable or definite stent thrombosis was observed. CONCLUSION: The combination of an everolimus-eluting stent in the main branch and a paclitaxel-eluting balloon in the side branch appears to be a safe, effective and novel treatment option for bifurcation lesions.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".