Comparative Reductions in Investigator-Reported and Adjudicated Ischemic Events in REDUCE-IT
Bibliographic record
Abstract
BACKGROUND: REDUCE-IT (Reduction of Cardiovascular Events With Icosapent Ethyl-Intervention Trial) randomized statin-treated patients with elevated triglycerides to icosapent ethyl (IPE) or placebo. There was a significant reduction in adjudicated events, including the primary endpoint (cardiovascular [CV] death, myocardial infarction [MI], stroke, coronary revascularization, unstable angina requiring hospitalization) and key secondary endpoint (CV death, MI, stroke) with IPE. OBJECTIVES: The purpose of this study was to determine the effects of IPE on investigator-reported events. METHODS: Potential endpoints were collected by blinded site investigators and subsequently adjudicated by a blinded Clinical Endpoint Committee (CEC) according to a prespecified charter. Investigator-reported events were compared with adjudicated events for concordance. RESULTS: There was a high degree of concordance between investigator-reported and adjudicated endpoints. The simple Kappa statistic between CEC-adjudicated vs site-reported events for the primary endpoint was 0.89 and for the key secondary endpoint was 0.90. Based on investigator-reported events in 8,179 randomized patients, IPE significantly reduced the rate of the primary endpoint (19.1% vs 24.6%; HR: 0.74 [95% CI: 0.67-0.81]; P < 0.0001) and the key secondary endpoint (10.5% vs 13.6%; HR: 0.75 [95% CI: 0.66-0.85]; P < 0.0001). Among adjudicated events, IPE similarly reduced the rate of the primary and key secondary endpoints. CONCLUSIONS: IPE led to consistent, significant reductions in CV events, including MI and coronary revascularization, as determined by independent, blinded CEC adjudication as well as by blinded investigator-reported assessment. These results highlight the robust evidence for the substantial CV benefits of IPE seen in REDUCE-IT and further raise the question of whether adjudication of CV outcome trial endpoints is routinely required in blinded, placebo-controlled trials. (Evaluation of the Effect of AMR101 on Cardiovascular Health and Mortality in Hypertriglyceridemic Patients With Cardiovascular Disease or at High Risk for Cardiovascular Disease: REDUCE-IT [Reduction of Cardiovascular Events With EPA - Intervention Trial]; NCT01492361).
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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 | 0.008 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".