Long-Term Effect of Ultrathin-Strut Versus Thin-Strut Drug-Eluting Stents in Patients With Small Vessel Coronary Artery Disease Undergoing Percutaneous Coronary Intervention
Bibliographic record
Abstract
BACKGROUND: Randomized trials evaluating the Orsiro biodegradable polymer sirolimus-eluting stent (BP-SES; 60 and 80 μm strut thickness for stent diameters ≤3 and >3 mm, respectively) did not stratify according to vessel size and failed to specify the impact of ultrathin-strut thickness on long-term clinical outcomes compared with durable polymer everolimus-eluting stents (DP-EES). We sought to assess the long-term effect of ultrathin-strut (60 μm) BP-SES versus thin-strut (81 μm) DP-EES on long-term outcomes in patients undergoing percutaneous coronary revascularization for small vessel disease. METHODS: In a subgroup analysis of the randomized, multicenter, noninferiority BIOSCIENCE trial, patients with stable coronary artery disease or acute coronary syndrome randomly assigned to treatment with BP-SES or DP-EES were stratified according to vessel size (≤3 mm versus >3 mm) as a surrogate to compare patients treated with ultrathin-strut versus thin-strut drug-eluting stent. The primary end point was target lesion failure, a composite of cardiac death, target vessel myocardial infarction, and clinically indicated target lesion revascularization, within 5 years. RESULTS: =0.13). Cumulative incidences of cardiac death, target vessel myocardial infarction, and clinically indicated target lesion revascularization and definite stent thrombosis at 5 years were similar in patients treated with ultrathin-strut BP-SES and thin-strut DP-EES. After adjustment for potential confounders, there was no significant interaction between vessel size and treatment effect of BP-SES versus DP-EES. CONCLUSIONS: We found no significant difference in clinical outcomes throughout 5 years between patients with small vessel disease treated with ultrathin-strut BP-SES versus thin-strut DP-EES. CLINICAL TRIAL REGISTRATION: URL: https://www.clinicaltrials.gov. Unique identifier: NCT01443104.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.003 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".