Sirolimus versus paclitaxel coronary stents in clinical practice
Bibliographic record
Abstract
OBJECTIVES: We aimed at comparing the long term clinical outcome of SES and PES in routine clinical practice. BACKGROUND: Although sirolimus-eluting stents (SES) more effectively reduce neointimal hyperplasia than paclitaxel-eluting stents (PES), uncertainty prevails whether this difference translates into differences in clinical outcomes outside randomized controlled trials with selected patient populations and protocol-mandated angiographic follow-up. METHODS: Nine hundred and four consecutive patients who underwent implantation of a drug-eluting stent between May 2004 and February 2005: 467 patients with 646 lesions received SES, 437 patients with 600 lesions received PES. Clinical follow-up was obtained at 2 years without intervening routine angiographic follow-up. The primary endpoint was a composite of death, myocardial infarction (MI), or target vessel revascularization (TVR). RESULTS: At 2 years, the primary endpoint was less frequent with SES (12.9%) than PES (17.6%, HR = 0.70, 95% CI 0.50-0.98, P = 0.04). The difference in favor of SES was largely driven by a lower rate of target lesion revascularisation (TLR; 4.1% vs. 6.9%, P = 0.05), whereas rates of death (6.4% vs. 7.6%, P = 0.49), MI (1.9% vs. 3.2%, P = 0.21), or definite stent thrombosis (0.6% vs. 1.4%, P = 0.27) were similar for both stent types. The benefit regarding reduced rates of TLR was significant in nondiabetic (3.6% vs. 7.1%, P = 0.04) but not in diabetic patients (5.6% vs. 6.1%, P = 0.80). CONCLUSIONS: SES more effectively reduced the need for repeat revascularization procedures than PES when used in routine clinical practice. The beneficial effect is maintained up to 2 years and may be less pronounced in diabetic patients.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 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".