Comparison of a polymer‐free rapamycin‐eluting stent (YUKON) with a polymer‐based paclitaxel‐eluting stent (TAXUS) in real‐world coronary artery lesions
Bibliographic record
Abstract
BACKGROUND: In selected patient cohorts the polymer-free rapamycin-eluting YUKON stent (A) has demonstrated noninferiority compared with the polymer-based paclitaxel-eluting TAXUS stent (B). To test for equivalency in unselected real-world patients with coronary lesions of various complexities, we retrospectively compared both stent designs. METHODS: A total of 410 patients with symptomatic CAD were successfully treated with A (n = 205) or with B (n = 205). Baseline clinical characteristics, coronary lesion location, lesion length, and the number of stents implanted per lesion were equally distributed between the treatment groups. All patients underwent QCA-analysis at baseline. Clinical follow-up with assessment of MACE and noncardiac deaths was obtained at 30 days and 6 months. RESULTS: Nominal stent diameter was 2.96 +/- 0.38 mm in Group A vs. 3.05 +/- 0.42 mm in Group B (P = 0.2); nominal length of stented segmentwas 22.97 +/-13.0 mm vs. 23.63 +/- 10.0 (P = 0.56). Analysis of MACE after 6 months resulted in one angiographically documented stent thrombosis causing MI in B (0.2%) vs. none in A. No other MI or cardiac deaths occurred in either group, while two noncardiac deaths in A (1.0%) were reported. Fifteen target lesion revascularizations (7.3%) were performed in A vs. 7 (3.4%) in B. Differences in study endpoints at 6 months did not reach statistical significance (P > 0.05). CONCLUSIONS: Up to 6 months after PCI of real-world coronary lesions, there were no statistically significant differences in MACE between patients treated with the polymer-free rapamycin-eluting YUKON stent and the polymer-based paclitaxel-eluting TAXUS stent.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| 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".