Evidence map›Paper›PMID 23591267›Full record

ReviewNature reviews. Cardiology2013

Genetic mechanisms of atrial fibrillation: impact on response to treatment.

Dawood Darbar, Dan M Roden

Abstract readReview
In one paragraph

Review in Nature reviews. Cardiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 1 pooled it
6.3field-weighted citation impact, top 3% 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.

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

48 citing papers in PubMed, 1 synthesis or guideline pooled it, 88 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Article
  6. A novel gain-of-function mutationAmerican journal of cardiovascular disease · 2025
    Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Transcriptional factors in calcium mishandling and atrial fibrillation development.Pflugers Archiv : European journal of physiology · 2021
    Review
  13. Review
  14. Review
  15. Article
  16. Expanding the phenotype of CACNA1C mutation disorders.Molecular genetics & genomic medicine · 2021
    Article
  17. Article
  18. Atrial Fibrillation in Inherited Channelopathies.Cardiac electrophysiology clinics · 2021
    Review
  19. Article
  20. Big Data and Atrial Fibrillation: Current Understanding and New Opportunities.Journal of cardiovascular translational research · 2020
    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

2 authors at 1 institution in 1 country.

Dawood DarbarDepartments of Medicine and Pharmacology, Vanderbilt University School of Medicine, 2215B Garland Avenue, Nashville, TN 37323-6602, USA. dawood.darbar@vanderbilt.edu
Dan M Roden
Vanderbilt University · US

Funding

PHARMACOGENOMICS OF ARRHYTHMIA THERAPYU01HL065962 · NHLBI · VANDERBILT UNIVERSITY · PI RODEN, DAN M · 2001 to 2009
$24.8M
Pharmacogenomics of Arrhythmia TherapyU19HL065962 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI RODEN, DAN M · 2010 to 2014
$17.4M
Positional Cloning and Candidate Gene Approach to Familial Atrial FibrillationR01HL092217 · NHLBI · VANDERBILT UNIVERSITY · PI DARBAR, DAWOOD · 2009 to 2017
$2.9M
NHLBI NIH HHS R01 HL092217NHLBI NIH HHS U01 HL065962NHLBI NIH HHS U19 HL065962
6 · The paper itself

Abstract

Atrial fibrillation (AF) is the most-common sustained arrhythmia observed in clinical practice, but response to therapy is highly variable between patients. Current drug therapies to suppress AF are incompletely and unpredictably effective and carry substantial risk of proarrhythmia and noncardiac toxicities. The limited success of therapy for AF is partially the result of heterogeneity of the underlying substrate, interindividual differences in disease mechanisms, and our inability to predict response to therapies in individual patients. In this Review, we discuss the evidence that variability in response to drug therapy is also conditioned by the underlying genetic substrate for AF. Increased susceptibility to AF is mediated through diverse genetic mechanisms, including modulation of the atrial action-potential duration, conduction slowing, and impaired cell-to-cell communication, as well as novel mechanisms, such as regulation of signalling proteins important in the pathogenesis of AF. However, the translation of genetic data to the care of the patients with AF has been limited because of poor understanding of the underlying mechanisms associated with common AF-susceptibility loci, a dearth of prospective, adequately powered studies, and the challenges associated with determining efficacy of antiarrhythmic drugs. What is apparent, however, is the need for appropriately designed, genotype-directed clinical trials.

Indexed as

Precision MedicineAnimalsAnti-Arrhythmia AgentsAtrial FibrillationGenetic Predisposition to DiseaseGenetic TestingHeart Conduction SystemHumansPatient SelectionPharmacogeneticsPhenotypePredictive Value of TestsTreatment OutcomeAnti-Arrhythmia Agents

Identifiers

PMID23591267
PMCPMC3664212
OpenAlexW2008045438

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.