Increased Restenosis Rates 12 Months After Coronary Implantation of the Sirolimus‐Eluting YUKON‐Choice Stent Compared to the Paclitaxel‐Eluting TAXUS Stent
Bibliographic record
Abstract
BACKGROUND: Previously the polymer-free sirolimus-eluting YUKON-Choice stent (A) has demonstrated noninferiority compared to the polymer-based paclitaxel-eluting TAXUS stent (B). To test for long-term equivalency in unselected real-world coronary lesions of various complexities, we retrospectively compared both stents. METHODS: A total of 410 patients with symptomatic coronary artery disease (CAD) were treated with stent A (n = 205) or stent B (n = 205). Baseline clinical characteristics, lesion location, and length and the number of stents implanted per lesion were equally distributed. Clinical follow-up with assessment of major adverse cardiac events (MACE) and noncardiac deaths was obtained at 9 and 12 months. RESULTS: Nominal stent diameter and nominal length of the stented segment were without differences between the groups. The incidence of MACE after 12 months was significantly higher in group A (35.1%) compared to group B (16.6%, P = .001). This was mainly due to increased rates of target-lesion revascularizations in group A (13.7%) vs group B (4.4%, P = .005). No significant differences in target-vessel revascularizations and non-target-vessel revascularizations were observed. In group B, 1 stent thrombosis was documented (0.5%) vs none in group A (P > .05); in each group 1 myocardial infarction (MI), but no cardiac deaths occurred; 3 noncardiac deaths in group A (1.5%) vs 7 in group B (3.4%) were observed (P = .3). CONCLUSIONS: In contrast to our previous findings indicating no differences in MACE between patients treated with the polymer-free sirolimus-eluting YUKON-Choice stent and the polymer-based paclitaxel-eluting TAXUS stent at 6 months, we herewith show that 12 months after percutaneous coronary intervention (PCI) of real-world coronary lesions the YUKON stent appears to be inferior due to increased target-lesion revascularization (TLR) rates as a consequence of delayed restenosis.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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 | 0.001 | 0.000 |
| 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".