Evidence map›Paper›PMID 25970841›Full record

ReviewJournal of cardiovascular pharmacology2016

The Role of Pharmacogenetics in Atrial Fibrillation Therapeutics: Is Personalized Therapy in Sight?

Dawood Darbar

Open access · greenAbstract readReview
In one paragraph

Review in Journal of cardiovascular pharmacology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.7field-weighted citation impact, top 14% 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

5 citing papers in PubMed, 16 citations in OpenAlex.

  1. Usability of CHAFrontiers in cardiovascular medicine · 2025
    Article
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  3. Review
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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

1 author at 1 institution in 1 country.

Dawood DarbarDivisions of Cardiovascular Medicine and Clinical Pharmacology, Vanderbilt University, Nashville, TN.
U.S. National Science Foundation · US

Funding

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
Toward a Mechanism-Based Approach to Treating Atrial FibrillationR01HL124935 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI KNOLLMANN, BJORN C · 2015 to 2019
$2.8M
NHLBI NIH HHS HL092217NHLBI NIH HHS HL124935NHLBI NIH HHS R01 HL092217NHLBI NIH HHS R01 HL124935NHLBI NIH HHS U19 HL065962NHLBI NIH HHS U19 HL65962
6 · The paper itself

Abstract

Atrial fibrillation (AF) is the most common sustained cardiac arrhythmia worldwide requiring therapy. Despite recent advances in catheter-based and surgical therapy, antiarrhythmic drugs (AADs) remain the mainstay of treatment for symptomatic AF. However, response in individual patients is highly variable with over half the patients treated with rhythm control therapy experiencing recurrence of AF within a year. Contemporary AADs used to suppress AF are incompletely and unpredictably effective and associated with significant risks of proarrhythmia and noncardiac toxicities. Furthermore, this "one-size" fits all strategy for selecting antiarrhythmics is based largely on minimizing risk of adverse effects rather than on the likelihood of suppressing AF. The limited success of rhythm control therapy is in part due to heterogeneity of the underlying substrate, interindividual differences in disease mechanisms, and our inability to predict response to AADs in individual patients. Genetic studies of AF over the past decade have revealed that susceptibility to and response to therapy for AF is modulated by the underlying genetic substrate. However, the bedside application of these new discoveries to the management of AF patients has thus far been disappointing. This may in part be related to our limited understanding about genetic predictors of drug response in general, the challenges associated with determining efficacy of response to AADs, and lack of randomized genotype-directed clinical trials. Nonetheless, recent studies have shown that common AF susceptibility risk alleles at the chromosome 4q25 locus modulated response to AADs, electrical cardioversion, and ablation therapy. This monograph discusses how genetic approaches to AF have not only provided important insights into underlying mechanisms but also identified AF subtypes that can be better targeted with more mechanism-based "personalized" therapy.

Indexed as

Anti-Arrhythmia AgentsAtrial FibrillationGenetic LinkageHumansPharmacogeneticsPrecision MedicineTranslational Research, BiomedicalAnti-Arrhythmia Agents

Identifiers

PMID25970841
PMCPMC4639470
OpenAlexW2261209119

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.