Evidence map›Paper›PMID 22122181›Full record

ReviewPharmacotherapy2011

Role of pharmacogenomics in the management of traditional and novel oral anticoagulants.

Larisa H Cavallari, Jaekyu Shin, Minoli A Perera

Abstract readReview
In one paragraph

Review in Pharmacotherapy, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 2 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.

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

28 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
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  7. Review
  8. Observational
  9. Article
  10. Article
  11. Pharmacogenomics and personalized medicine · 2020
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  13. Review
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  16. Review
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  18. Observational
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Larisa H CavallariDepartment of Pharmacy Practice, University of Illinois at Chicago, Chicago, Illinois 60612-7230, USA. humma@uic.edu
Jaekyu Shin
Minoli A Perera

Funding

The implementation of a pharmacogenomics-based algorithm for warfarin dosingK23HL089808 · NHLBI · UNIVERSITY OF CHICAGO · PI PERERA, MINOLI A · 2009 to 2013
$601k
NHLBI NIH HHS 1 K23HL089808-01A2NHLBI NIH HHS K23 HL089808
6 · The paper itself

Abstract

Warfarin is the most commonly prescribed oral anticoagulant. However, it remains a difficult drug to manage mostly because of its narrow therapeutic index and wide interpatient variability in anticoagulant effects. Over the past decade, there has been substantial progress in our understanding of genetic contributions to variable warfarin response, particularly with regard to warfarin dose requirements. The genes encoding for cytochrome P450 (CYP) 2C9 (CYP2C9) and vitamin K epoxide reductase complex subunit 1 (VKORC1) are the major genetic determinants of warfarin pharmacokinetics and pharmacodynamics, respectively. Numerous studies have demonstrated significant contributions of these genes to warfarin dose requirements. The CYP2C9 gene has also been associated with bleeding risk with warfarin. The CYP4F2 gene influences vitamin K availability and makes minor contributions to warfarin dose requirements. Less is known about genes influencing warfarin response in African-American patients compared with other racial groups, but this is the focus of ongoing research. Several warfarin pharmacogenetic dosing algorithms and United States Food and Drug Administration-cleared genotyping tests are available for clinical use. Clinical trials are ongoing to determine the clinical utility and cost-effectiveness of genotypeguided warfarin dosing. Results from these trials will likely influence clinical uptake and third party payer reimbursement for genotype-guided warfarin therapy. There is still a lack of pharmacogenetic data for the newly approved oral anticoagulants, dabigatran and rivaroxaban, and with other oral anticoagulants in the research and development pipeline. These data, once known, could be of great importance as routine monitoring parameters for these agents are not available.

Indexed as

PharmacogeneticsAdministration, OralAlgorithmsAnticoagulantsDose-Response Relationship, DrugGenetic TestingGenotypeHumansUnited StatesUnited States Food and Drug AdministrationWarfarinAnticoagulantsWarfarin

Identifiers

PMID22122181
PMCPMC3655546

What OpenQuestion holds

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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.