Rationale and Design of the Cardiac Magnetic Resonance Imaging Substudy of the ONTARGET Trial Programme
Bibliographic record
Abstract
Angiotensin-converting enzyme (ACE) inhibitors have been shown to improve cardiovascular disease outcomes in high-risk patients, but evidence for the cardio-protective effects of angiotensin II receptor blockers (ARBs) is less extensive. The ONgoing Telmisartan Alone and in combination with Ramipril Global Endpoint Trial (ONTARGET) and the parallel Telmisartan Randomized AssessmeNt Study in aCE iNtolerant subjects with cardiovascular Disease (TRANSCEND)--which together form The ONTARGET Trial Programme--are long-term, large-scale, double-blind, multinational outcome studies with the primary objectives of determining if the combination of the ARB telmisartan 80 mg and the ACE inhibitor ramipril 10 mg is more effective than ramipril 10 mg alone, and if telmisartan is at least as effective as ramipril (in the case of ONTARGET), and if telmisartan is superior to placebo (in the case of TRANSCEND), in providing cardiovascular protection for high-risk patients. A pre-defined substudy is being conducted within The ONTARGET Trial Programme to compare the effects of these agents, alone and in combination, on cardiac structure and function. The substudy overcomes criticisms of many previous studies, which have been performed in small numbers of patients using suboptimal methodology, by evaluating changes in left ventricular structure and function using sophisticated technology provided by magnetic resonance imaging (MRI). Some 300 randomized patients within ONTARGET, recruited from selected centres in Australia, Canada, Germany, Hong Kong, New Zealand and Thailand, will have MRI undertaken at baseline and at 2-year follow-up. As this method of assessing left ventricular dysfunction is somewhat timeconsuming, expensive and complex, and in the light of current interest in the role of B-type natriuretic peptide (BNP) as a simple, inexpensive diagnostic and prognostic tool, the substudy will also examine whether changes in BNP during follow-up correlated with changes in left ventricular dysfunction.
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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 | 0.106 | 0.069 |
| Meta-epidemiology (narrow) | 0.004 | 0.003 |
| Meta-epidemiology (broad) | 0.006 | 0.004 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.005 | 0.005 |
| Research integrity | 0.006 | 0.009 |
| Insufficient payload (model declined to judge) | 0.028 | 0.011 |
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".