Evidence map›Paper›PMID 24159564›Full record

Trial reportJACC. Heart failure2013

Prevention of atrial fibrillation by bucindolol is dependent on the beta₁389 Arg/Gly adrenergic receptor polymorphism.

Ryan G Aleong, William H Sauer, Gordon Davis, Guinevere A Murphy, J David Port, Inder S Anand, Mona Fiuzat, Christopher M O'Connor, William T Abraham, Stephen B Liggett and 1 more

2 registry-linked trialsOpen access · hybridAbstract readRandomized Controlled Trial
In one paragraph

Trial report in JACC. Heart failure, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
4.9field-weighted citation impact, top 4% of its field
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.

NCT00000560 phase3completednot on this map

Beta-Blocker Evaluation in Survival Trial (BEST)

TypeinterventionalSponsorNational Heart, Lung, and Blood Institute (NHLBI)Ran1994 to 1999ConditionsCardiovascular Diseases, Heart Diseases, Heart Failure, Congestive, Heart FailureArmsadrenergic beta antagonists
NCT01970501 phase2completednot on this mapstarted 2014, after this paper: background citation

GENETIC-AF - A Genotype-Directed Comparative Effectiveness Trial of Bucindolol and Toprol-XL for Prevention of Symptomatic Atrial Fibrillation/Atrial Flutter in Patients With Heart Failure

TypeinterventionalSponsorARCA Biopharma, Inc.Ran2014 to 2017Enrolled267ConditionsCurrent or Recent History of Atrial FibrillationArmsbucindolol hydrochloride, metoprolol succinate, Placebo oral capsule
3 · Its place in the literature

Who cites it

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 51 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Review
  4. βmedRxiv : the preprint server for health sciences · 2025
    Article
  5. Practical compendium of antiarrhythmic drugs: a clinical consensus statement of the European Heart Rhythm Association of the European Society of Cardiology.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2025
    Review
  6. Article
  7. Review
  8. Genetic Variants of Adrenoceptors.Handbook of experimental pharmacology · 2024
    Review
  9. Review
  10. Article
  11. Pharmacogenomics Informs Cardiovascular Pharmacotherapy.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  12. Review
  13. Review
  14. Review
  15. Dose Response of β-Blockers in Adrenergic Receptor Polymorphism Genotypes.Circulation. Genomic and precision medicine · 2018
    Article
  16. Review
  17. Review
  18. Article
  19. Review
  20. 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

11 authors at 7 institutions in 1 country.

Ryan G AleongSection of Cardiac Electrophysiology, University of Colorado Denver, Denver, Colorado. Electronic address: ryan.aleong@ucdenver.edu.
William H SauerSection of Cardiac Electrophysiology, University of Colorado Denver, Denver, Colorado.
Gordon DavisARCA Biopharma, Inc., Broomfield, Colorado.
Guinevere A MurphyARCA Biopharma, Inc., Broomfield, Colorado.
J David PortARCA Biopharma, Inc., Broomfield, Colorado; Division of Cardiology, University of Colorado Anschutz Medical Campus, Denver, Colorado.
Inder S AnandVeterans Affairs Medical Center, University of Minnesota, Minneapolis, Minnesota.
Mona FiuzatDuke Clinical Research Institute, Duke University Medical Center, Durham, North Carolina.
Christopher M O'ConnorDuke Clinical Research Institute, Duke University Medical Center, Durham, North Carolina.
William T AbrahamDivision of Cardiovascular Medicine, Ohio State University, Columbus, Ohio.
Stephen B LiggettCenter for Personalized Medicine and Genomics, University of South Florida, Morsani College of Medicine, Tampa, Florida.
Michael R BristowARCA Biopharma, Inc., Broomfield, Colorado; Division of Cardiology, University of Colorado Anschutz Medical Campus, Denver, Colorado; Duke Clinical Research Institute, Duke University Medical Center, Durham, North Carolina.
ARCA Biopharma (United States) · USClinical Research Institute · USUniversity of Colorado Denver · USDuke Medical Center · USThe Ohio State University · USUniversity of Minnesota Medical Center · USUniversity of South Florida · US

Funding

Genetic-Adrenergic Interactions in Myocardial FailureR01HL048013 · NHLBI · UNIVERSITY OF COLORADO DENVER · PI BRISTOW, MICHAEL R. · 1993 to 2007
$4.5M
NHLBI NIH HHS R01 HL048013
6 · The paper itself

Abstract

objectivesThis study assessed the impact of bucindolol, a beta-blocker/sympatholytic agent, on the development of atrial fibrillation (AF) in advanced chronic heart failure with reduced left ventricular ejection fraction (HFREF) patients enrolled in the BEST (Beta-Blocker Evaluation of Survival Trial).

backgroundβ-blockers have modest efficacy for AF prevention in HFREF patients. Bucindolol's effects on HF and ventricular arrhythmic endpoints are genetically modulated by β₁- and α(2c)-adrenergic receptor (AR) polymorphisms that can be used to subdivide HFREF populations into those with bucindolol effectiveness levels that are enhanced, unchanged, or lost.

methodsBEST enrolled 2,708 New York Heart Association (NYHA) class III to IV HFREF patients. A substudy in which 1,040 patients' DNA was genotyped for the β₁-AR position 389 Arg/Gly and the α(2c)322-325 wild type (Wt)/deletion (Del) polymorphisms, and new-onset AF was assessed from adverse event case report forms or electrocardiograms at baseline and at 3 and 12 months.

resultsIn the entire cohort, bucindolol reduced the rate of new-onset AF compared to placebo by 41% (hazard ratio [HR]: 0.59 [95% confidence interval (CI): 0.44 to 0.79], p = 0.0004). In the 493 β₁389 arginine homozygotes (Arg/Arg) in the DNA substudy, bucindolol reduced new-onset AF by 74% (HR: 0.26 [95% CI: 0.12 to 0.57]), with no effect in β₁389 Gly carriers (HR: 1.01 [95% CI: 0.56 to 1.84], interaction test = 0.008). When β₁389 Gly carriers were subdivided by α(2c) Wt homozygotes (n = 413, HR: 0.94 [95% CI: 0.48 to 1.82], p = 0.84) or Del variant carriers (n = 134, HR: 1.33 [95% CI: 0.32 to 5.64], p = 0.70), there was a positive interaction test (p = 0.016) when analyzed with β₁389 Arg homozygotes.

conclusionsBucindolol prevented new-onset AF; β₁ and α(2c) polymorphisms predicted therapeutic response; and the 47% of patients who were β₁389 Arg homozygotes had an enhanced effect size of 74%. (Beta-Blocker Evaluation in Survival Trial [BEST]; NCT00000560)

Indexed as

Polymorphism, GeneticAdrenergic beta-AntagonistsAtrial FibrillationFemaleHeart FailureHumansMaleMiddle AgedPropanolaminesProspective StudiesReceptors, Adrenergic, beta-1Treatment OutcomeAdrenergic beta-AntagonistsbucindololPropanolaminesReceptors, Adrenergic, beta-1

Identifiers

PMID24159564
PMCPMC3804380
OpenAlexW2086844212

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.