The effects of angiotensin-receptor blockers on mortality and morbidity in heart failure: a systematic review
Bibliographic record
Abstract
BACKGROUND: Trials evaluating angiotensin-receptor blockers in heart failure (HF) have shown inconsistent results. OBJECTIVE: To evaluate the effect of angiotensin II (AII) receptor blockers in HF patients on total mortality and HF hospitalisations. METHODS: Systematic search of the literature through MEDLINE (1980-2007) and abstracts of major cardiovascular congresses from 2002 to 2007. ELIGIBILITY CRITERIA: (i) randomised controlled trials with more than 500 patients and follow up > 6 months, (ii) availability of total mortality and/or (iii) availability of hospital admission because of worsening HF. Data retrieved by two independent reviewers. DerSimonian random effects model was used. RESULTS: Mortality data were available from 27,495 patients. When AII receptor blockers plus angiotensin-converting enzyme inhibitors (ACE-I) were compared with ACE-I in chronic HF trials, the relative risk (RR) for death was 0.98 (95% CI: 0.84-1.15). When AII receptor blockers were compared with ACE-I the RR for death was 1.06 (95% CI: 0.56-1.62). Similar results were found for postmyocardial infarction trials. The effects on hospital admission revealed a RR of 0.83 (95% CI: 0.71-0.97) and 1.09 (95% CI: 0.74-1.60) respectively. CONCLUSION: Angiotensin II receptor blockers did not show any beneficial effect on mortality when used in combination with ACE-I or when compared with ACE-I alone. A 17% reduction in hospital admissions was observed.
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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 | 0.004 | 0.045 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".