Evidence map›Paper›PMID 30658513›Full record

ReviewJournal of personalized medicine2019

Pharmacogenomics of Novel Direct Oral Anticoagulants: Newly Identified Genes and Genetic Variants.

Sri H Kanuri, Rolf P Kreutz

3 registry-linked trialsAbstract readReview
In one paragraph

Review in Journal of personalized medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 60 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed, 4 pooled it
–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.

NCT04247919 terminatednot on this mapstarted 2020, after this paper: background citation

Investigation of Genetic Variations on Patients With Adverse Drug Events While on Direct Oral Anticoagulants (DOACs)

TypeobservationalSponsorCipherome, Inc.Ran2020 to 2020Enrolled3ConditionsDrug-Related Side Effects and Adverse Reactions
NCT04580589 completednot on this mapstarted 2021, after this paper: background citation

Investigation of Genetic Variations on Patients With Adverse Events While on Direct Oral Anticoagulants (DOACs)

TypeobservationalSponsorCipherome, Inc.Ran2021 to 2022Enrolled210ConditionsDrug-Related Side Effects and Adverse Reactions, Treatment Failure
NCT04597593 completednot on this mapstarted 2020, after this paper: background citation

Correlation Between Bleeding Complication and Treatment Failure of DOAC and Its Predictions Based on Cipherome's Pharmacogenomic Technology

TypeobservationalSponsorCipherome, Inc.Ran2020 to 2022Enrolled200ConditionsDrug-Related Side Effects and Adverse Reactions, Iatrogenic Disorder
3 · Its place in the literature

Who cites it

60 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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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

2 authors.

Sri H KanuriDepartment of Clinical Pharmacology, Indiana University School of Medicine, Indianapolis, IN 46202, USA. srikanur@iu.edu.
Rolf P KreutzDepartment of Clinical Pharmacology, Indiana University School of Medicine, Indianapolis, IN 46202, USA. rkreutz@iu.edu.ORCID 0000-0002-2110-607X

Funding

Indiana University Comprehensive Training in Clinical PharmacologyT32GM008425 · NIGMS · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI Zeruesenay Desta, Michael Thomas Eadon · 1992 to 2026
$7.7M
National Institutes of Health T32GM008425NIGMS NIH HHS T32 GM008425
6 · The paper itself

Abstract

Direct oral anticoagulants (DOAC) have shown an upward prescribing trend in recent years due to favorable pharmacokinetics and pharmacodynamics without requirement for routine coagulation monitoring. However, recent studies have documented inter-individual variability in plasma drug levels of DOACs. Pharmacogenomics of DOACs is a relatively new area of research. There is a need to understand the role of pharmacogenomics in the interpatient variability of the four most commonly prescribed DOACs, namely dabigatran, rivaroxaban, apixaban, and edoxaban. We performed an extensive search of recently published research articles including clinical trials and in-vitro studies in PubMed, particularly those focusing on genetic loci, single nucleotide polymorphisms (SNPs), and DNA polymorphisms, and their effect on inter-individual variation of DOACs. Additionally, we also focused on commonly associated drug-drug interactions of DOACs. CES1 and ABCB1 SNPs are the most common documented genetic variants that contribute to alteration in peak and trough levels of dabigatran with demonstrated clinical impact. ABCB1 SNPs are implicated in alteration of plasma drug levels of rivaroxaban and apixaban. Studies conducted with factor Xa, ABCB1, SLCOB1, CYP2C9, and VKORC1 genetic variants did not reveal any significant association with plasma drug levels of edoxaban. Pharmacokinetic drug-drug interactions of dabigatran are mainly mediated by p-glycoprotein. Strong inhibitors and inducers of CYP3A4 and p-glycoprotein should be avoided in patients treated with rivaroxaban, apixaban, and edoxaban. We conclude that some of the inter-individual variability of DOACs can be attributed to alteration of genetic variants of gene loci and drug-drug interactions. Future research should be focused on exploring new genetic variants, their effect, and molecular mechanisms that contribute to alteration of plasma levels of DOACs.

Indexed as

apixabandabigatrandirect oral anticoagulantedoxabangene-drug interactionsgenetic variantsgenome guided therapypharmacogenomicsrivaroxabanSNPs

Identifiers

PMID30658513
PMCPMC6463033

What OpenQuestion holds

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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.