Evidence map›Paper›PMID 22047153›Full record

ReviewMolecular diagnosis & therapy2011

Genotype-based dosing algorithms for warfarin therapy: data review and recommendations.

Eric G Johnson, Benjamin D Horne, John F Carlquist, Jeffrey L Anderson

Abstract readReview
PubMed Publisher
In one paragraph

Review in Molecular diagnosis & therapy, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
6.4field-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.

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

4 citing papers in PubMed, 18 citations in OpenAlex.

  1. Review
  2. Review
  3. Personalized medicine: is it a pharmacogenetic mirage?British journal of clinical pharmacology · 2012
    Review
  4. Genetic advances in medicine: has the promise been fulfilled in general practice?The British journal of general practice : the journal of the Royal College of General Practitioners · 2012
    Article
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

4 authors at 2 institutions in 1 country.

Eric G JohnsonCardiovascular Department, Intermountain Medical Center, Salt Lake City, UT, USA.
Benjamin D Horne
John F Carlquist
Jeffrey L Anderson
Intermountain Medical Center · USUniversity of Utah · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Warfarin, the most common oral anticoagulant, is the ideal candidate for pharmacogenetic dosing and gene-based 'individualization' of care. A plethora of studies have shown that stable dose requirements can be predicted using sequence variants in the CYP2C9 and VKORC1 genes in both sexes and in different races. Multiple clinical trials of pharmacogenetic warfarin dosing have been conducted with various methods, including several randomized trials that have been completed. These studies have reported varying degrees of success and some have been met with substantial skepticism. Other much larger randomized trials are ongoing. This paper reviews and synthesizes the various clinical trials that have been published and touches on the potential that the ongoing trials offer. The emergence of new oral anticoagulants also raises the question of the relevance of pharmacogenetic warfarin dosing for the future. The cost of genotype-guided dosing is substantial, and none of the studies to date have shown a cost-benefit of using pharmacogenetic warfarin dosing in clinical practice. Although pharmacogenetics-guided warfarin dosing has been discussed for many years, the currently available data regarding this genetically individualized dosing suggest that pharmacogenetics remains unproven for use in clinical warfarin prescription.

Indexed as

AlgorithmsAnticoagulantsClinical Trials as TopicGenotypeHumansWarfarinAnticoagulantsWarfarin

Identifiers

PMID22047153
OpenAlexW156590052

What OpenQuestion holds

Textmetadata
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.