Evidence map›Paper›PMID 21826075›Full record

ReviewNature reviews. Cardiology2011

The pharmacogenetics of antiplatelet agents: towards personalized therapy?

Tariq Ahmad, Deepak Voora, Richard C Becker

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Cardiology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–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

13 citing papers in PubMed.

  1. Trial
  2. Review
  3. Personalizing treatments for patients based on cardiovascular phenotyping.Expert review of precision medicine and drug development · 2022
    Article
  4. Pharmacogenomics Informs Cardiovascular Pharmacotherapy.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Pharmacogenomics and personalized medicine · 2017
    Article
  10. Article
  11. Review
  12. Article
  13. Review
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.

Tariq AhmadDivision of Cardiology, Duke University School of Medicine, 2400 Pratt Street, DUMC 3850, Durham, NC 27710, USA.
Deepak Voora
Richard C Becker

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Considerable variability exists in how individual patients respond to oral antiplatelet therapy, specifically to aspirin and to P2Y(12)-receptor inhibitors such as clopidogrel. This variability translates to differences in clinical outcomes and might in part be as a result of common variation within genes that are involved in the absorption, metabolic activation, and biological activity of these medications. The field of pharmacogenetics has yielded several genetic loci that predict variation in patient response to antiplatelet therapies. The most robust data indicate an association between loss-of-function alleles of the CYP2C19 gene and adverse outcomes among high-risk patients treated with clopidogrel. However, several fundamental questions surrounding the information gained from genotyping and the efficacy of modifying therapy on the basis of testing remain unanswered. Routine genetic testing for platelet responsiveness cannot, therefore, be recommended for clinical decision-making. Ongoing and future clinical trials might provide evidence to support a change in practice towards pharmacogenetic-based selection of antiplatelet therapy.

Indexed as

Drug ResistancePharmacogeneticsPrecision MedicineBlood PlateletsCardiovascular DiseasesGenetic TestingGenotypeHumansPatient SelectionPhenotypePlatelet Aggregation InhibitorsPlatelet Aggregation Inhibitors

Identifiers

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.