Sacubitril/Valsartan in Real-Life European Patients with Heart Failure and Reduced Ejection Fraction: A Systematic Review and Meta-Analysis
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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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 | 0.009 | 0.019 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.015 | 0.023 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".