Five-year outcomes from a trial of three limus-eluting stents with different polymer coatings in patients with coronary artery disease: final results from the ISAR-TEST 4 randomised trial
Bibliographic record
Abstract
AIMS: Both biodegradable polymer sirolimus-eluting stents and permanent polymer everolimus-eluting stents offer potential for enhanced late outcomes in comparison with earlier-generation permanent polymer sirolimus-eluting stents. However, long-term comparative efficacy data among these devices remain a scientific gap. We aimed to compare the efficacy and safety of biodegradable polymer sirolimus-eluting stents (Yukon Choice PC) versus permanent polymer everolimus-eluting stents (XIENCE) versus permanent polymer sirolimus-eluting stents (CYPHER) at five-year follow-up. METHODS AND RESULTS: Overall, 2,603 patients were randomised to treatment with the Yukon Choice PC (n=1,299), XIENCE (n=652) or CYPHER (n=652) stents. The primary endpoint was the device-oriented composite of cardiac death, target vessel-related myocardial infarction (MI), or target lesion revascularisation (TLR). The main secondary endpoint was definite/probable stent thrombosis (ST). Follow-up was performed up to five years. Concerning the primary endpoint, there was no significant difference between Yukon Choice PC and XIENCE stents (20.5% vs. 19.5%, HR=1.04, 95% CI: 0.84-1.29; p=0.71) or between CYPHER and XIENCE stents (23.5% vs. 19.5%, HR=1.21, 95% CI: 0.95-1.53; p=0.12). In terms of safety, rates of ST were similar with both Yukon Choice PC and XIENCE (1.2% vs. 1.4%; HR=0.83, 95% CI: 0.37-1.91; p=0.67) but numerically higher with CYPHER as compared to XIENCE (2.4% vs. 1.4%, HR=1.67, 95% CI: 0.73-3.82; p=0.22). CONCLUSIONS: Biodegradable polymer Yukon Choice PC and permanent polymer XIENCE stents showed comparable clinical outcomes at five years. Permanent polymer CYPHER stents showed numerically higher rates of device-related adverse events. Trials registration: ClinicalTrials.gov (identifier: NCT00598676).
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.005 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".