Blocking the renin–angiotensin system: dual- versus mono-therapy
Bibliographic record
Abstract
The renin-angiotensin system (RAS) plays an important role in the pathogenesis of cardiovascular disease. One of the effects of the activated RAS is target-organ damage, in part due to their effects on causing hypertension. Blocking angiotensin-converting enzyme (ACE) with inhibitors has been shown to attenuate the pathological effects of the RAS. Clinical trials have shown that ACE inhibition improves outcomes in the prevention of acute myocardial infarction, lowering the morbidity and mortality in congestive heart failure, and attenuates renal dysfunction. There is recent evidence to show that angiotensin receptor blockers (ARBs) have similar efficacy to ACE inhibitors in reducing cardiovascular outcomes. The wealth of information obtained regarding the beneficial effects of RAS inhibition on clinical outcome has been focused on monotherapy with either ARB or ACE inhibition. Evidence from some trials suggests that better overall inhibition of RAS by dual therapy may improve clinical outcomes. Combination therapy has been shown to be beneficial in patients with congestive heart failure or renal disease. The Valsartan in Acute Myocardial Infarction Trial (VALIANT) trial showed equal benefit of either ARB or ACE inhibition with reduction in primary end points in postmyocardial infarction patients, but there was no further benefit from dual therapy in reducing outcomes. In the recent ONTARGET study, there was further evidence that ARBs are equal to ACE inhibitors in reducing cardiovascular events. In Ongoing Telmisartan, Ramipril, or Both in Patients at High Risk for Vascular Events (ONTARGET), combined RAS blockade did not have any added benefit but resulted in increased risk of adverse outcomes. In the Candesartan in Heart Failure (CHARM) and the Valsartan Heart Failure Trial (Val-HeFT) trials of patients with severe heart failure, the addition of an ARB to an ACE inhibitor reduced cardiac mortality and lowered hospital admissions. Whether or not dual therapy is beneficial in patients with diabetic renal failure should be clarified by future studies. Overall, patients receiving dual therapy, if clinically justified, should be monitored closely for potential adverse effects.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.011 |
| Bibliometrics | 0.000 | 0.001 |
| 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".