Efficacy and Safety of Angiotensin Receptor Blockade are Not Modified by Aspirin in Patients with Chronic Heart Failure: A Cohort Study from the Candesartan in Heart failure – Assessment of Reduction in Mortality and morbidity (CHARM) Programme
Bibliographic record
Abstract
AIMS: It is unknown whether there is an interaction between aspirin and angiotensin receptor blockers on outcomes in patients with heart failure (HF). METHODS AND RESULTS: The efficacy and safety of candesartan vs. placebo was assessed in 7599 patients with symptomatic HF and reduced or preserved left ventricular ejection fraction enrolled in the CHARM programme according to baseline aspirin use. Patients were randomized to candesartan or matching placebo and were followed for a median of 38 months. Aspirin was used in 4246 (55.9%) of patients at baseline. When compared with placebo, candesartan use was associated with lower event rates for cardiovascular (CV) death or HF hospitalization (primary outcome) in both the aspirin group (28 vs. 31.9%, HR 0.81, 95% CI 0.72-0.90) and non-aspirin group (33 vs. 38%, HR 0.81, 95% CI 0.72-0.91). Baseline aspirin use did not modify the effectiveness of candesartan in reducing the risk of CV death or HF hospitalization in CHARM overall (P = 0.64) or in the CHARM individual trials. In addition, there was no significant interaction between aspirin therapy and candesartan in terms of discontinuation of study drug due to adverse reactions (P = 0.72). CONCLUSION: There appears to be no significant modification of the benefit of candesartan on CV mortality and morbidity outcomes or safety by concomitant use of aspirin in patients with chronic HF.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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".