Soluble guanylate cyclase stimulators in patients with heart failure with reduced ejection fraction across the risk spectrum
Bibliographic record
Abstract
Patients with heart failure with reduced ejection fraction (HFrEF) have a high residual risk of adverse outcomes, even when treated with optimal guideline-directed medical therapy and in a clinically stable state. Soluble guanylate cyclase (sGC) stimulators have the potential to lower this risk by modifying the nitric oxide-sGC-cyclic guanosine monophosphate cascade - a pathophysiological pathway that has been targeted with limited success in HFrEF previously. Vericiguat, an sGC stimulator, was shown to improve outcomes in patients with HFrEF in the VICTORIA (Vericiguat Global Study in Subjects with Heart Failure with Reduced Ejection Fraction) trial. However, this trial included patients with recently worsening disease. In this brief review, we discuss the rationale of evaluating sGC stimulators in lower-risk HFrEF patients. First, all key HFrEF medications have been evaluated in both higher- and lower-risk populations, and the treatment effect is not always consistent across the risk spectrum. Second, pre-clinical studies and post-hoc studies of the VICTORIA trial have suggested that sGC stimulators may have cardioprotective effects - these effects may be more apparent when the medication is initiated earlier in the disease process. Third, the effect of vericiguat on cardiovascular mortality remains uncertain and a trial with a longer follow-up in a lower-risk population may allow better assessment of its effect on cardiovascular mortality. Therefore, there is a pertinent need to investigate the effects of vericiguat in optimally treated, low-risk HFrEF patients (i.e. those without recently worsening heart failure).
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".