Outcomes of the Novel Supreme Drug-Eluting Stent in Complex Coronary Lesions: A PIONEER III Substudy
Bibliographic record
Abstract
Background The Supreme healing-targeted drug-eluting stent (DES) is designed to promote endothelial healing to reduce stent-related adverse events. This may be particularly relevant among complex lesions that have a higher rate of adverse events. We sought to compare 1-year outcomes of percutaneous coronary intervention in complex lesions between the Supreme DES and contemporary durable-polymer, everolimus-eluting stents (DP-EES). Methods PIONEER III was a multicenter, prospective, single-blind clinical trial, randomizing 1629 patients with either an acute or chronic coronary syndrome in a 2:1 ratio to the Supreme DES or DP-EES. Complex lesions (American College of Cardiology/American Heart Association type B2/C) were found in 1137 patients. Outcomes were also compared for specific parameters of lesion complexity: severe calcification, long length (>20 mm), and severe tortuosity. The primary end point was target lesion failure at 1 year. Results At 1 year, there was no difference in target lesion failure between the Supreme DES and DP-EES: (5.7% vs 5.6%; hazard ratio 1.00, 95% confidence interval 0.59-1.68, P = .99). Similarly, there were no differences in the secondary end points of lesion success (99.7% vs 99.4%, P = .41), device success (97.0% vs 98.5%, P = .14), target vessel failure (6.5% vs 7.4%, P = .50), major adverse cardiac events (7.8% vs 8.5%, P = .64), or stent thrombosis (0.7% vs 1.1%, P = .48). A trend was observed toward a higher rate of target lesion revascularization with the Supreme DES (2.5% vs 0.9%, P = .06). Conclusions This study suggests that the Supreme DES is as effective and safe at 1 year compared with the standard DP-EES across a broad spectrum of lesion complexity.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".