Design of the omapatrilat in persons with enhanced risk of atherosclerotic events (OPERA) trial
Bibliographic record
Abstract
The Omapatrilat in Persons with Enhanced Risk of Atherosclerotic events (OPERA) trial is a large clinical trial of omapatrilat, a vasopeptidase inhibitor, in patients with stage 1 isolated systolic hypertension (ISH). OPERA is the first study to examine whether effective antihypertensive treatment can provide survival and clinical end point benefits in older persons with this common condition. This 5-year multinational, randomized, double-blind, parallel-group, placebo-controlled, forced-titration study will be conducted in approximately 12,600 subjects randomized by approximately 1100 study centers worldwide over a recruitment period of approximately 2 years. The primary objective of OPERA is to determine whether treatment with once-daily omapatrilat (target dose 40 mg) will reduce cardiovascular (CV) morbidity and mortality in older (> or = 65 years) men and women with enhanced risk for atherosclerotic events due to stage 1 ISH plus other risk factors for which currently there is no evidence-based requirement for treatment. Blood pressure inclusion criteria are systolic blood pressure (SBP) 140 to 159 mm Hg (SBP 125 to 139 mm Hg in diabetic individuals) and diastolic blood pressure (DBP) <90 mm Hg. The primary end point is defined as the composite of fatal/nonfatal stroke, fatal/nonfatal myocardial infarction, fatal/nonfatal heart failure, and other CV mortality. Secondary end points include the individual components of the primary end point, CV mortality, and major cardiovascular end points, as well as effects on cognitive function and initiation of treatment for diabetes. Additional analyses will be conducted in men and women, in diabetic patients, in different risk classes and according to prior evidence of vascular disease.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| 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) | 0.009 | 0.001 |
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".