Finerenone, Obesity, and Heart Failure With Mildly Reduced/Preserved Ejection Fraction
Bibliographic record
Abstract
BACKGROUND: Obesity is associated with excessive adipocyte-derived aldosterone secretion, independent of the classical renin-angiotensin-aldosterone cascade, and mineralocorticoid receptor antagonists may be more effective in patients with heart failure (HF) and obesity. OBJECTIVES: This study sought to examine the effects of the nonsteroidal mineralocorticoid receptor antagonist finerenone compared with placebo, according to body mass index (BMI) in FINEARTS-HF (FINerenone trial to investigate Efficacy and sAfety superioR to placebo in paTientS with Heart Failure). METHODS: ; n = 395). The primary outcome was cardiovascular death and total worsening HF events. RESULTS: = 0.005). A similar pattern was observed for total worsening HF events. Consistent effects across baseline BMI were observed for cardiovascular and all-cause death and improvement in the Kansas City Cardiomyopathy Questionnaire scores. CONCLUSIONS: In patients with HF with mildly reduced/preserved ejection fraction, the beneficial effects of finerenone on clinical events and symptoms were consistent, irrespective of BMI at baseline, possibly with a greater effect on the primary outcome in patients with higher BMI. (FINEARTS-HF [FINerenone trial to investigate Efficacy and sAfety superioR to placebo in paTientS with Heart Failure]; NCT04435626).
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| 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) | 0.001 | 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".