Sex Differences in Efficacy of Pharmacological Therapies in Heart Failure with Reduced Ejection Fraction: A Meta-Analysis
Bibliographic record
Abstract
Abstract Aims Recent studies have suggested potential sex differences in treatment response to pharmacological therapies in heart failure (HF). We performed a systematic review and meta-analysis of studies comparing treatment effects between men and women with HF and reduced ejection fraction (HFrEF) using established guideline-directed medical therapy and other emerging pharmacological treatments. Methods and results Systematic search was performed on PubMed, Embase, and Cochrane Library for randomized controlled trials published in 1990–2021. Outcomes were all-cause mortality and combined outcome of all-cause mortality and/or hospitalization for HF. Of 618 articles identified, 25 articles and 100 213 patients (mean age 62 ± 1.7 years, women 23.1%, mean left ventricular ejection fraction 26.6 ± 1.3%) were included in the systematic review and meta-analysis. For the outcome of all-cause mortality, there was no evidence of treatment heterogeneity by sex for renin-angiotensin system inhibitors (RASi) [hazard ratio (HR) 0.86 (95% confidence interval 0.75–0.99) in men; HR 0.97 (0.77–1.23) in women; Pinteraction = 0.288], or for beta-blockers (BB) [HR 0.71 (0.59–0.86) in men; HR 0.87 (0.73–1.03) in women; Pinteraction = 0.345]. Similarly, for the composite outcome of death or HF hospitalization, there was no evidence of treatment heterogeneity by sex for RASi [HR 0.84 (0.77–0.93) in men; HR 0.94 (0.81–1.08) in women; Pinteraction = 0.210] or BB [HR 0.76 (0.64–0.90) in men; HR 0.72 (0.60–0.86) in women; Pinteraction = 0.650]. Results for mineralocorticoid receptor antagonists (MRA) and sodium-glucose cotransporter-2 inhibitors (SGLT2i) from previously published meta-analyses were included in the review. For the combined outcome of cardiovascular death or HF hospitalization, no significant interaction for sex was observed for MRA (Pinteraction = 0.78) or SGLT2i (Pinteraction = 0.37). Results for emerging pharmacological treatments, such as soluble guanylate cyclase stimulators and cardiac myosin activators, were included in the review and showed consistent treatment effects between men and women. Conclusions Our meta-analysis showed no differences between sex in treatment effect for BB and RASi. Review on previously published trials for MRA, SGLT2i, and emerging therapies presented consistent treatment effects between men and women.
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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 | 0.017 | 0.034 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.021 | 0.071 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".