Evidence map›Paper›PMID 33953382›Full record

ReviewNature reviews. Cardiology2021

Pharmacogenetics to guide cardiovascular drug therapy.

Julio D Duarte, Larisa H Cavallari

Open access · greenAbstract readReview
In one paragraph

Review in Nature reviews. Cardiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed, 2 pooled it
13.7field-weighted citation impact, top 1% 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

58 citing papers in PubMed, 2 syntheses or guidelines pooled it, 121 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Observational
  6. Review
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Challenges and prospects ofFrontiers in pharmacology · 2026
    Review
  14. Article
  15. Review
  16. Review
  17. Machine Learning for Warfarin Therapy: A Systematic Review.Pharmaceuticals (Basel, Switzerland) · 2025
    Review
  18. Article
  19. Review
  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

2 authors at 2 institutions in 1 country.

Julio D DuarteCenter for Pharmacogenomics and Precision Medicine and Department of Pharmacotherapy and Translational Research, University of Florida College of Pharmacy, Gainesville, FL, USA.
Larisa H CavallariCenter for Pharmacogenomics and Precision Medicine and Department of Pharmacotherapy and Translational Research, University of Florida College of Pharmacy, Gainesville, FL, USA. lcavallari@cop.ufl.edu.ORCID http://orcid.org/0000-0002-7184-5292
American Association of Colleges of Pharmacy · USUniversity of Florida · US

Funding

Using social networks to map and evaluate team science across CTSA hubsUL1TR001427 · NCATS · UNIVERSITY OF FLORIDA · PI MITCHELL, DUANE A. · 2015 to 2024
$37.2M
Exome sequencing in Diverse Populations in Colorado & OregonU01HG007292 · NHGRI · KAISER FOUNDATION RESEARCH INSTITUTE · PI LEO, MICHAEL C, WILFOND, BENJAMIN SIMON · 2017 to 2021
$15.7M
Precision antiplatelet therapy after percutaneous coronary interventionR01HL149752 · NHLBI · UNIVERSITY OF FLORIDA · PI CAVALLARI, LARISA HUMMA, LEE, CRAIG R · 2020 to 2024
$3.5M
NCATS NIH HHS UL1 TR001427NHGRI NIH HHS U01 HG007292NHLBI NIH HHS R01 HL149752
6 · The paper itself

Abstract

Over the past decade, pharmacogenetic testing has emerged in clinical practice to guide selected cardiovascular therapies. The most common implementation in practice is CYP2C19 genotyping to predict clopidogrel response and assist in selecting antiplatelet therapy after percutaneous coronary intervention. Additional examples include genotyping to guide warfarin dosing and statin prescribing. Increasing evidence exists on outcomes with genotype-guided cardiovascular therapies from multiple randomized controlled trials and observational studies. Pharmacogenetic evidence is accumulating for additional cardiovascular medications. However, data for many of these medications are not yet sufficient to support the use of genotyping for drug prescribing. Ultimately, pharmacogenetics might provide a means to individualize drug regimens for complex diseases such as heart failure, in which the treatment armamentarium includes a growing list of medications shown to reduce morbidity and mortality. However, sophisticated analytical approaches are likely to be necessary to dissect the genetic underpinnings of responses to drug combinations. In this Review, we examine the evidence supporting pharmacogenetic testing in cardiovascular medicine, including that available from several clinical trials. In addition, we describe guidelines that support the use of cardiovascular pharmacogenetics, provide examples of clinical implementation of genotype-guided cardiovascular therapies and discuss opportunities for future growth of the field.

Indexed as

Cardiovascular AgentsCardiovascular DiseasesPharmacogeneticsHumansCardiovascular Agents

Identifiers

PMID33953382
PMCPMC8364496
OpenAlexW3157091748

What Socratic 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 Socratic graph.