Evidence map›Paper›PMID 39578732›Full record

ArticleBMC cardiovascular disorders2024

The most effective combination of pharmacological therapy for heart failure with reduced ejection fraction: a network meta-analysis of randomized controlled trials.

Huilin Tang, Kimberly Germinal, Alexandra Milfort, Wei-Han Chen, Shao-Hsuan Chang, Wenxi Huang, Yujia Li, Ying Lu, Mustafa M Ahmed, Stephen E Kimmel and 2 more

Abstract readNetwork Meta-Analysis
In one paragraph

Article in BMC cardiovascular disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
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  6. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Huilin TangDepartment of Pharmaceutical Outcomes and Policy, University of Florida College of Pharmacy, Gainesville, FL, USA.
Kimberly GerminalDepartment of Pharmaceutical Outcomes and Policy, University of Florida College of Pharmacy, Gainesville, FL, USA.
Alexandra MilfortDepartment of Pharmaceutical Outcomes and Policy, University of Florida College of Pharmacy, Gainesville, FL, USA.
Wei-Han ChenDepartment of Pharmaceutical Outcomes and Policy, University of Florida College of Pharmacy, Gainesville, FL, USA.
Shao-Hsuan ChangDepartment of Pharmaceutical Outcomes and Policy, University of Florida College of Pharmacy, Gainesville, FL, USA.
Wenxi HuangDepartment of Pharmaceutical Outcomes and Policy, University of Florida College of Pharmacy, Gainesville, FL, USA.
Yujia LiDepartment of Pharmaceutical Outcomes and Policy, University of Florida College of Pharmacy, Gainesville, FL, USA.
Ying LuDepartment of Pharmaceutical Outcomes and Policy, University of Florida College of Pharmacy, Gainesville, FL, USA.
Mustafa M AhmedDivision of Cardiovascular Medicine, College of Medicine, University of Florida, Gainesville, FL, USA.
Stephen E KimmelDepartment of Epidemiology, College of Public Health and Health Professions and College of Medicine, University of Florida, Gainesville, FL, USA.
Jiang BianDepartment of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL, USA.
Jingchuan GuoDepartment of Pharmaceutical Outcomes and Policy, University of Florida College of Pharmacy, Gainesville, FL, USA. guoj1@ufl.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEvidence for the efficacy of pharmacological therapies for heart failure with reduced ejection fraction (HFrEF) is growing. However, there is no consensus on the most effective treatment for HFrEF. This study aimed to evaluate the most effective combination of pharmacological therapy in patients with HFrEF.

methodsWe systematically searched Medline, Embase, and CENTRAL up to Feb 2022, to include randomized controlled trials (RCTs) that evaluated the efficacy of pharmacological treatment among adults (≥ 18 years) with a diagnosis of HFrEF (defined by a left ventricular ejection fraction ≤ 45%). The outcomes of interest included all-cause death, cardiovascular (CV) death, and hospitalization for heart failure (HHF). A random network meta-analysis using a frequentist framework model was employed to calculate the pooled risk ratio (RR) with 95% confidence interval (CI) and rank the treatments.

resultsWe included 49 RCTs involving 90,529 participants with HFrEF. For reducing all-cause mortality, the combination of angiotensin-converting enzyme inhibitors (ACEI), beta-blockers (BB), mineralocorticoid receptor antagonists (MRA), and sodium-glucose co-transporter-2 inhibitors (SGLT2i) was most effective (RR, 0.46; 95% CI, 0.32-0.66). For CV death, the combination of ACEI, BB, MRA, and Vericiguat showed the highest efficacy (RR, 0.34; 95% CI, 0.12-0.90). Regarding reducing HHF, the combination of ACEI, BB, MRA, and SGLT2i as well as the combination of ACEI, BB, MRA, and Ivabradine were equally the most effective (both RR, 0.27; 95% CI, 0.18-0.39).

conclusionThis study provides robust evidence supporting the use of combination therapies in HFrEF management, with newer agents offering incremental benefits when added to established guideline-directed medical therapy.

Indexed as

Drug Therapy, CombinationHeart FailureRandomized Controlled Trials as TopicStroke VolumeVentricular Function, LeftAgedAged, 80 and overCardiovascular AgentsCause of DeathFemaleHumansMaleMiddle AgedMineralocorticoid Receptor AntagonistsRecovery of FunctionRisk FactorsCardiovascular AgentsMineralocorticoid Receptor AntagonistsSodium-Glucose Transporter 2 InhibitorsHeart failure with reduced ejection fractionMeta-analysisPharmacological interventionsRandomized controlled trials

Identifiers

PMID39578732
PMCPMC11585106

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.