Evidence map›Paper›PMID 25940926›Full record

ReviewNature reviews. Cardiology2015

Genotype-based clinical trials in cardiovascular disease.

Naveen L Pereira, Daniel J Sargent, Michael E Farkouh, Charanjit S Rihal

Open access · greenAbstract readReview
In one paragraph

Review in Nature reviews. Cardiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
8.0field-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

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 41 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Trial
  5. Trial
  6. Review
  7. Review
  8. Review
  9. Circulation · 2024
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Cardiovascular Pharmacogenomics: Does It Matter If You're Black or White?Annual review of pharmacology and toxicology · 2019
    Review
  17. Review
  18. Review
  19. Review
  20. 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

4 authors at 2 institutions in 2 countries.

Naveen L PereiraDivision of Cardiovascular Diseases, Department of Internal Medicine, 200 First Street SW, Rochester, MN 55905, USA.
Daniel J SargentDepartment of Biomedical Statistics and Informatics, Health Sciences Research, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA.
Michael E FarkouhPeter Munk Cardiac Centre and Heart and Stroke Richard Lewer Centre, University of Toronto, 585 University Avenue, Toronto, ON M5G 2N2, Canada.
Charanjit S RihalDivision of Cardiovascular Diseases, Department of Internal Medicine, 200 First Street SW, Rochester, MN 55905, USA.
Mayo Clinic · USCanadian Heart Research Centre · CA

Funding

PHARMACOGENETICS OF PHASE II DRUG METABOLIZING ENZYMESU01GM061388 · NIGMS · MAYO CLINIC ROCHESTER · PI WEINSHILBOUM, RICHARD M. · 2000 to 2009
$15.7M
NIGMS NIH HHS U01 GM061388NIGMS NIH HHS U01 GM61388
6 · The paper itself

Abstract

Consensus practice guidelines and the implementation of clinical therapeutic advances are usually based on the results of large, randomized clinical trials (RCTs). However, RCTs generally inform us on an average treatment effect for a presumably homogeneous population, but therapeutic interventions rarely benefit the entire population targeted. Indeed, multiple RCTs have demonstrated that interindividual variability exists both in drug response and in the development of adverse effects. The field of pharmacogenomics promises to deliver the right drug to the right patient. Substantial progress has been made in this field, with advances in technology, statistical and computational methods, and the use of cell and animal model systems. However, clinical implementation of pharmacogenetic principles has been difficult because RCTs demonstrating benefit are lacking. For patients, the potential benefits of performing such trials include the individualization of therapy to maximize efficacy and minimize adverse effects. These trials would also enable investigators to reduce sample size and hence contain costs for trial sponsors. Multiple ethical, legal, and practical issues need to be considered for the conduct of genotype-based RCTs. Whether pre-emptive genotyping embedded in electronic health records will preclude the need for performing genotype-based RCTs remains to be seen.

Indexed as

Adrenergic beta-AntagonistsAnticoagulantsBiomarkersCardiovascular DiseasesClopidogrelCytochrome P-450 CYP2C19ForecastingGenetic MarkersGenomicsGenotypeHumansHydroxymethylglutaryl-CoA Reductase InhibitorsPharmacogeneticsPlatelet Aggregation InhibitorsRandomized Controlled Trials as TopicSequence Analysis, DNAAdrenergic beta-AntagonistsAnticoagulantsBiomarkersClopidogrelCYP2C19 protein, humanCytochrome P-450 CYP2C19Genetic MarkersHydroxymethylglutaryl-CoA Reductase InhibitorsPlatelet Aggregation InhibitorsTiclopidineWarfarin

Identifiers

PMID25940926
PMCPMC4687401
OpenAlexW1520464148

What OpenQuestion holds

Texttitle and abstract
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.