Reduction in Revascularization With Icosapent Ethyl
Bibliographic record
Abstract
Background: Patients with elevated triglycerides despite statin therapy have increased risk for ischemic events, including coronary revascularizations. Methods: REDUCE-IT (The Reduction of Cardiovascular Events with Icosapent Ethyl–Intervention Trial), a multicenter, double-blind, placebo-controlled trial, randomly assigned statin-treated patients with elevated triglycerides (135–499 mg/dL), controlled low-density lipoprotein (41–100 mg/dL), and either established cardiovascular disease or diabetes plus other risk factors to receive icosapent ethyl 4 g/d or placebo. The primary and key secondary composite end points were significantly reduced. Prespecified analyses examined all coronary revascularizations, recurrent revascularizations, and revascularization subtypes. Results: A total of 8179 randomly assigned patients were followed for 4.9 years (median). First revascularizations were reduced to 9.2% (22.5/1000 patient-years) with icosapent ethyl versus 13.3% (33.7/1000 patient-years) with placebo (hazard ratio, 0.66 [95% CI, 0.58–0.76]; P <0.0001; number needed to treat for 4.9 years=24); similar reductions were observed in total (first and subsequent) revascularizations (negative binomial rate ratio, 0.64 [95% CI, 0.56–0.74]; P <0.0001), and across elective, urgent, and emergent revascularizations. Icosapent ethyl significantly reduced percutaneous coronary intervention (hazard ratio, 0.68 [95% CI, 0.59–0.79]; P <0.0001) and coronary artery bypass grafting (hazard ratio, 0.61 [95% CI, 0.45–0.81]; P =0.0005). Conclusions: Icosapent ethyl reduced the need for first and subsequent coronary revascularizations in statin-treated patients with elevated triglycerides and increased cardiovascular risk. To our knowledge, icosapent ethyl is the first non–low-density lipoprotein–lowering treatment that has been shown to reduce coronary artery bypass grafting in a blinded, randomized trial. Registration: URL: https://www.clinicaltrials.gov ; Unique identifier: NCT01492361.
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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) | 0.000 | 0.000 |
| 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".