Evidence map›Paper›PMID 26693963›Full record

ArticleClinical pharmacology and therapeutics2016

Physician response to implementation of genotype-tailored antiplatelet therapy.

J F Peterson, J R Field, K M Unertl, J S Schildcrout, D C Johnson, Y Shi, I Danciu, J H Cleator, J M Pulley, J A McPherson and 4 more

Open access · greenAbstract read
In one paragraph

Article in Clinical pharmacology and therapeutics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
6.4field-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

37 citing papers in PubMed, 71 citations in OpenAlex.

  1. Trial
  2. Observational
  3. Genetic Determinants of Response to P2YInterventional cardiology clinics · 2024
    Review
  4. Circulation · 2024
    Review
  5. Article
  6. Article
  7. Pharmacogenomics · 2023
    Article
  8. Article
  9. Cardiovascular precision medicine - A pharmacogenomic perspective.Cambridge prisms. Precision medicine · 2023
    Review
  10. Review
  11. Review
  12. Approaches to assessing the provider experience with clinical pharmacogenomic information: a scoping review.Genetics in medicine : official journal of the American College of Medical Genetics · 2021
    Article
  13. Article
  14. The Implementation Chasm Hindering Genome-informed Health Care.The Journal of law, medicine & ethics : a journal of the American Society of Law, Medicine & Ethics · 2020
    Article
  15. Pharmacogenomics.Lancet (London, England) · 2019
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

14 authors at 2 institutions in 1 country.

J F PetersonDepartment of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, Tennessee, USA.
J R FieldInstitute of Clinical and Translational Research, Vanderbilt University School of Medicine, Nashville, Tennessee, USA.
K M UnertlDepartment of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, Tennessee, USA.
J S SchildcroutDepartment of Biostatistics, Vanderbilt University School of Medicine, Nashville, Tennessee, USA.
D C JohnsonDepartment of Pharmacy, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Y ShiDepartment of Biostatistics, Vanderbilt University School of Medicine, Nashville, Tennessee, USA.
I DanciuDepartment of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, Tennessee, USA.
J H CleatorDepartment of Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee, USA.
J M PulleyInstitute of Clinical and Translational Research, Vanderbilt University School of Medicine, Nashville, Tennessee, USA.
J A McPhersonDepartment of Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee, USA.
J C DennyDepartment of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, Tennessee, USA.
M LaposataDepartment of Pathology, Microbiology, and Immunology, Vanderbilt University School of Medicine, Nashville, Tennessee, USA.
D M RodenDepartment of Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee, USA.
K B JohnsonDepartment of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, Tennessee, USA.
Vanderbilt University · USVanderbilt University Medical Center · US

Funding

The Vanderbilt Institute for Clinical and Translational Research (VICTR)UL1TR000445 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BERNARD, GORDON RAPHAEL · 2012 to 2016
$41.4M
Pharmacogenomics of Arrhythmia TherapyU19HL065962 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI RODEN, DAN M · 2010 to 2014
$17.4M
Pharmacogenomics of Anti-platlet Intervention-2 (PAPI-2) StudyU01HL105198 · NHLBI · UNIVERSITY OF MARYLAND BALTIMORE · PI SHULDINER, ALAN R. · 2010 to 2014
$13.6M
VGER, the Vanderbilt Genome-Electronic Records ProjectU01HG008672 · NHGRI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI DENNY, JOSHUA C., RODEN, DAN M · 2015 to 2019
$5.1M
Integrated, Individualized, Intelligent Prescribing (I3P)U01HG007253 · NHGRI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI LEVY, MIA A., PETERSON, JOSEPH F. · 2014 to 2018
$4.6M
Vanderbilt Genome Electronic Records ProjectU01HG006378 · NHGRI · VANDERBILT UNIVERSITY · PI RODEN, DAN M · 2011 to 2014
$4.0M
Rational Integration of Genomic Healthcare Testing (RIGHT)U01HL122904 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI GRAVES, JOHN A., PETERSON, JOSEPH F. · 2013 to 2016
$1.9M
PHARMACOGENOMIC RESOURCE FOR ENHANCED DECISIONS IN CLOPIDOGREL TREATMENT (PREDICTU47CI000824 · CI · VANDERBILT UNIVERSITY · PI LAPOSATA, MICHAEL · 2011 to 2012
$998k
NCATS NIH HHS UL1 TR000445NCPDCID CDC HHS U47 CI000824NHGRI NIH HHS U01 HG006378NHGRI NIH HHS U01 HG007253NHGRI NIH HHS U01 HG008672NHLBI NIH HHS U01 HL105198NHLBI NIH HHS U01 HL122904NHLBI NIH HHS U19 HL065962
6 · The paper itself

Abstract

Physician responses to genomic information are vital to the success of precision medicine initiatives. We prospectively studied a pharmacogenomics implementation program for the propensity of clinicians to select antiplatelet therapy based on CYP2C19 loss-of-function variants in stented patients. Among 2,676 patients, 514 (19.2%) were found to have a CYP2C19 variant affecting clopidogrel metabolism. For the majority (93.6%) of the cohort, cardiologists received active and direct notification of CYP2C19 status. Over 12 months, 57.6% of poor metabolizers and 33.2% of intermediate metabolizers received alternatives to clopidogrel. CYP2C19 variant status was the most influential factor impacting the prescribing decision (hazard ratio [HR] in poor metabolizers 8.1, 95% confidence interval [CI] [5.4, 12.2] and HR 5.0, 95% CI [4.0, 6.3] in intermediate metabolizers), followed by patient age and type of stent implanted. We conclude that cardiologists tailored antiplatelet therapy for a minority of patients with a CYP2C19 variant and considered both genomic and nongenomic risks in their clinical decision-making.

Indexed as

PharmacogeneticsAgedAge FactorsClinical Decision-MakingClopidogrelCytochrome P-450 CYP2C19FemaleGenetic VariationGenotypeHumansMaleMiddle AgedPlatelet Aggregation InhibitorsPractice Patterns, Physicians'Precision MedicineProspective StudiesClopidogrelCytochrome P-450 CYP2C19Platelet Aggregation InhibitorsTiclopidine

Identifiers

PMID26693963
PMCPMC4899238
OpenAlexW2236245590

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.