Evidence map›Paper›PMID 25897256›Full record

ReviewPharmacogenomics and personalized medicine2015

Personalized antiplatelet and anticoagulation therapy: applications and significance of pharmacogenomics.

Amber L Beitelshees, Deepak Voora, Joshua P Lewis

Abstract readReview
In one paragraph

Review in Pharmacogenomics and personalized medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Review
  4. Co-Existence ofBalkan journal of medical genetics : BJMG · 2023
    Article
  5. Pharmacists' Knowledge, and Insights in Implementing Pharmacogenomics in Saudi Arabia.International journal of environmental research and public health · 2022
    Article
  6. Observational
  7. Article
  8. Influence ofExperimental and therapeutic medicine · 2020
    Article
  9. Article
  10. Gut Microbiome and Response to Cardiovascular Drugs.Circulation. Genomic and precision medicine · 2019
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Low dose aspirin and pregnancy: how important is aspirin resistance?BJOG : an international journal of obstetrics and gynaecology · 2016
    Review
  17. [Current state and trend of precision medicine in thrombosis and hemostasis].Zhonghua xue ye xue za zhi = Zhonghua xueyexue zazhi · 2016
    Article
  18. 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

3 authors.

Amber L BeitelsheesProgram for Personalized and Genomic Medicine and Division of Endocrinology, Diabetes, and Nutrition, University of Maryland School of Medicine, Baltimore, MD, USA.
Deepak VooraCenter for Applied Genomics & Precision Medicine, Department of Medicine, Duke School of Medicine, Durham, NC, USA.
Joshua P LewisProgram for Personalized and Genomic Medicine and Division of Endocrinology, Diabetes, and Nutrition, University of Maryland School of Medicine, Baltimore, MD, USA.

Funding

Pharmacogenomics of Anti-platlet Intervention-2 (PAPI-2) StudyU01HL105198 · NHLBI · UNIVERSITY OF MARYLAND BALTIMORE · PI SHULDINER, ALAN R. · 2010 to 2014
$13.6M
Development Of Prognostic Platelet RNA Biomarkers To Tailor Antiplatelet TherapyR01HL118049 · NHLBI · DUKE UNIVERSITY · PI VOORA, DEEPAK · 2013 to 2017
$3.9M
Aspirin Pharmacogenomics: Role of PEAR1 in Personalized Anti-Platelet TherapyK23GM102678 · NIGMS · UNIVERSITY OF MARYLAND BALTIMORE · PI LEWIS, JOSHUA PATRICK · 2012 to 2016
$806k
Uncoupling Protein Polymorphisms and Cardiometabolic Responses to Beta-BlockersK23HL091120 · NHLBI · UNIVERSITY OF MARYLAND BALTIMORE · PI BEITELSHEES, AMBER L · 2008 to 2012
$661k
NHLBI NIH HHS K23 HL091120NHLBI NIH HHS R01 HL118049NHLBI NIH HHS U01 HL105198NIGMS NIH HHS K23 GM102678
6 · The paper itself

Abstract

In recent years, substantial effort has been made to better understand the influence of genetic factors on the efficacy and safety of numerous medications. These investigations suggest that the use of pharmacogenetic data to inform physician decision-making has great potential to enhance patient care by reducing on-treatment clinical events, adverse drug reactions, and health care-related costs. In fact, integration of such information into the clinical setting may be particularly applicable for antiplatelet and anticoagulation therapeutics, given the increasing body of evidence implicating genetic variation in variable drug response. In this review, we summarize currently available pharmacogenetic information for the most commonly used antiplatelet (ie, clopidogrel and aspirin) and anticoagulation (ie, warfarin) medications. Furthermore, we highlight the currently known role of genetic variability in response to next-generation antiplatelet (prasugrel and ticagrelor) and anticoagulant (dabigatran) agents. While compelling evidence suggests that genetic variants are important determinants of antiplatelet and anticoagulation therapy response, significant barriers to clinical implementation of pharmacogenetic testing exist and are described herein. In addition, we briefly discuss development of new diagnostic targets and therapeutic strategies as well as implications for enhanced patient care. In conclusion, pharmacogenetic testing can provide important information to assist clinicians with prescribing the most personalized and effective antiplatelet and anticoagulation therapy. However, several factors may limit its usefulness and should be considered.

Indexed as

anticoagulantaspirinclopidogrelpharmacogeneticsprecision medicinewarfarin

Identifiers

PMID25897256
PMCPMC4397717

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.