Sacubitril/Valsartan in Real-Life European Patients with Heart Failure and Reduced Ejection Fraction: A Systematic Review and Meta-Analysis
Why this work is in the frame
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Bibliographic record
Abstract
AIMS: We systematically reviewed the European real-world evidence (RWE) about sacubitril-valsartan for heart failure with reduced ejection fraction. METHODS AND RESULTS: Twenty-one articles, including 16 952 subjects, were identified until 31 October 2020. Taking as reference the PARADIGM-HF cohort, few baseline characteristics were presented in >80% of these studies, most often with high heterogeneity. In random-effects model meta-analysis, age was higher (mean difference +3.84, 95% CI 1.92-5.76), ischaemic aetiology (OR 0.76, 95% CI 0.64-0.91), hypertension (OR 0.55, 95% CI 0.37-0.82), and diabetes (OR 0.77, 95% CI 0.64-0.92) were less common, and the use of mineralocorticoid receptor antagonists was more frequent (OR 3.54, 95% CI 2.27-5.53) in real-life than in PARADIGM-HF. Other clinical and medical features were presented in 19-76% of the selected publications and suggested more severe heart failure with reduced ejection fraction. Sacubitril-valsartan was titrated to 97/103 mg b.i.d. in 35% (95% CI 23-47) and discontinued in 12.8% (95% CI 7.4-18.3) patients. When reported, the incidence of hyperkalaemia (six studies, no. 1076), all-cause mortality (five studies, no. 684), and any hospitalization (three studies, no. 390) was 12 (95% CI 5-19)/100 person-year, 8 (95% CI 4-12)/100 person-year, and 24 (95% CI 5-42)/100 person-year, respectively. Knowledge contribution, a metric measuring the proportion of RWE provided by each article based on the number of reported variables and the sample size, was 58.8% and 13.6% for the two biggest investigations (12 082 and 2037 patients), and <5% for all others (most with <100 subjects). CONCLUSIONS: Limited-quality RWE indicates that there are important differences between European patients prescribed sacubitril-valsartan and the PARADIGM-HF population, including the frequency of target dose achievement.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.013 | 0.002 |
| Bibliometrics | 0.001 | 0.002 |
| 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 it