Evidence map›Paper›PMID 30196751›Full record

ArticlePharmacogenomics2018

Does cardiology hold pharmacogenetics to an inconsistent standard? A comparison of evidence among recommendations.

Jasmine A Luzum, Jason C Cheung

Abstract read
In one paragraph

Article in Pharmacogenomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Pharmacogenetics of P2YPharmacotherapy · 2023
    Review
  5. Review
  6. Moving Pharmacogenetics Into Practice: It's All About the Evidence!Clinical pharmacology and therapeutics · 2021
    Review
  7. Article
  8. Pharmacogenomics.Lancet (London, England) · 2019
    Review
  9. Review
  10. 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

2 authors.

Jasmine A LuzumDepartment of Clinical Pharmacy, University of Michigan College of Pharmacy, Ann Arbor, MI, USA.
Jason C CheungDepartment of Clinical Pharmacy, University of Michigan College of Pharmacy, Ann Arbor, MI, USA.

Funding

NHLBI NIH HHS L30 HL110279
6 · The paper itself

Abstract

Current guideline recommendations for pharmacogenetic testing for clopidogrel by the American Heart Association/American College of Cardiology (AHA/ACC) contradict the Clinical Pharmacogenetics Implementation Consortium and the US FDA. The AHA/ACC recommends against routine pharmacogenetic testing for clopidogrel because no randomized controlled trials have demonstrated that testing improves patients' outcomes. However the AHA/ACC and the National Comprehensive Cancer Network (NCCN) recommend other pharmacogenetic tests in the absence of randomized controlled trials evidence. Using clopidogrel as a case example, we compared the evidence for other pharmacogenetic tests recommended by the AHA/ACC and NCCN. In patients that received percutaneous coronary intervention, the evidence supporting pharmacogenetic testing for clopidogrel is stronger than other pharmacogenetic tests recommended by the AHA/ACC and NCCN.

Indexed as

American Heart AssociationCardiologyCardiovascular DiseasesClopidogrelHumansPercutaneous Coronary InterventionPharmacogeneticsPharmacogenomic TestingRandomized Controlled Trials as TopicUnited StatesClopidogrelAmerican Heart Association/American College of Cardiologyclopidogrelepidermal growth factor receptor inhibitorsguidelineslong QT syndromeNational Comprehensive Cancer Networkpharmacogeneticsrecommendationsthiopurines

Identifiers

PMID30196751
PMCPMC6219446

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.