Evidence map›Paper›PMID 26046407›Full record

ArticleMayo Clinic proceedings2015

Evidence for Clinical Implementation of Pharmacogenomics in Cardiac Drugs.

Amy L Kaufman, Jared Spitz, Michael Jacobs, Matthew Sorrentino, Shennin Yuen, Keith Danahey, Donald Saner, Teri E Klein, Russ B Altman, Mark J Ratain and 1 more

Open access · greenAbstract read
In one paragraph

Article in Mayo Clinic proceedings, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 2 pooled it
9.2field-weighted citation impact, top 2% 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

22 citing papers in PubMed, 2 syntheses or guidelines pooled it, 50 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  12. Article
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  15. Integrating pharmacogenetic testing into primary care.Expert review of precision medicine and drug development · 2017
    Article
  16. Precision medicine in cardiology.Nature reviews. Cardiology · 2016
    Review
  17. Disease-drug database for pharmacogenomic-based prescribing.Clinical pharmacology and therapeutics · 2016
    Article
  18. Review
  19. A Use Case to Support Precision Medicine for Frequently Hospitalized Older Adults with Polypharmacy.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2016
    Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 3 institutions in 1 country.

Amy L KaufmanPritzker School of Medicine, The University of Chicago, Chicago, IL.
Jared SpitzCenter for Personalized Therapeutics, The University of Chicago, Chicago, IL.
Michael JacobsCenter for Personalized Therapeutics, The University of Chicago, Chicago, IL.
Matthew SorrentinoDepartment of Medicine, The University of Chicago, Chicago, IL.
Shennin YuenCenter for Personalized Therapeutics, The University of Chicago, Chicago, IL.
Keith DanaheyCenter for Research Informatics, The University of Chicago, Chicago, IL.
Donald SanerCenter for Research Informatics, The University of Chicago, Chicago, IL.
Teri E KleinDepartment of Genetics, Stanford University, Palo Alto, CA.
Russ B AltmanDepartment of Genetics, Stanford University, Palo Alto, CA; Department of Bioengineering, Stanford University, Palo Alto, CA; Department of Medicine, Stanford University, Palo Alto, CA.
Mark J RatainCenter for Personalized Therapeutics, The University of Chicago, Chicago, IL; Department of Medicine, The University of Chicago, Chicago, IL; Committee on Clinical Pharmacology and Pharmacogenomics, The University of Chicago, Chicago, IL.
Peter H O'DonnellCenter for Personalized Therapeutics, The University of Chicago, Chicago, IL; Department of Medicine, The University of Chicago, Chicago, IL; Committee on Clinical Pharmacology and Pharmacogenomics, The University of Chicago, Chicago, IL. Electronic address: podonnel@medicine.bsd.uchicago.edu.
University of Chicago · USPalo Alto University · USStanford University · US

Funding

PharmGKB: pharmacogenomics knowledge for precision medicineR24GM061374 · NIGMS · STANFORD UNIVERSITY · PI ALTMAN, RUSS BIAGIO, KLEIN, TERI ELLEN · 2010 to 2018
$25.2M
Re-Engineering Translational Research at the University of ChicagoUL1TR000430 · NCATS · UNIVERSITY OF CHICAGO · PI SOLWAY, JULIAN · 2012 to 2016
$20.2M
Pharmacogenomics of Anti-platlet Intervention-2 (PAPI-2) StudyU01HL105198 · NHLBI · UNIVERSITY OF MARYLAND BALTIMORE · PI SHULDINER, ALAN R. · 2010 to 2014
$13.6M
Developing an Oncology Workforce for the 21st Century - Renewal 01K12CA139160 · NCI · UNIVERSITY OF CHICAGO · PI OLOPADE, OLUFUNMILAYO F., SMITH, SONALI · 2010 to 2024
$10.6M
The 1200 Patients Project: Studying Clinical Implementation of PharmacogenomicsK23GM100288 · NIGMS · UNIVERSITY OF CHICAGO · PI O'DONNELL, PETER HUGH · 2013 to 2016
$751k
NCATS NIH HHS UL1 TR000430NCI NIH HHS K12 CA139160NHLBI NIH HHS 5 U01 HL105198-09NHLBI NIH HHS U01 HL105198NIGMS NIH HHS K23 GM100288NIGMS NIH HHS K23 GM100288-01A1NIGMS NIH HHS R24 GM061374
6 · The paper itself

Abstract

objectiveTo comprehensively assess the pharmacogenomic evidence of routinely used drugs for clinical utility.

methodsBetween January 2, 2011, and May 31, 2013, we assessed 71 drugs by identifying all drug/genetic variant combinations with published clinical pharmacogenomic evidence. Literature supporting each drug/variant pair was assessed for study design and methods, outcomes, statistical significance, and clinical relevance. Proposed clinical summaries were formally scored using a modified AGREE (Appraisal of Guidelines for Research and Evaluation) II instrument, including recommendation for or against guideline implementation.

resultsPositive pharmacogenomic findings were identified for 51 of 71 cardiovascular drugs (71.8%), representing 884 unique drug/variant pairs from 597 publications. After analysis for quality and clinical relevance, 92 drug/variant pairs were proposed for translation into clinical summaries, encompassing 23 drugs (32.4% of drugs reviewed). All were recommended for clinical implementation using AGREE II, with mean ± SD overall quality scores of 5.18±0.91 (of 7.0; range, 3.67-7.0). Drug guidelines had highest mean ± SD scores in AGREE II domain 1 (Scope) (91.9±6.1 of 100) and moderate but still robust mean ± SD scores in domain 3 (Rigor) (73.1±11.1), domain 4 (Clarity) (67.8±12.5), and domain 5 (Applicability) (65.8±10.0). Clopidogrel (CYP2C19), metoprolol (CYP2D6), simvastatin (rs4149056), dabigatran (rs2244613), hydralazine (rs1799983, rs1799998), and warfarin (CYP2C9/VKORC1) were distinguished by the highest scores. Seven of the 9 most commonly prescribed drugs warranted translation guidelines summarizing clinical pharmacogenomic information.

conclusionConsiderable clinically actionable pharmacogenomic information for cardiovascular drugs exists, supporting the idea that consideration of such information when prescribing is warranted.

Indexed as

Clinical MedicineDrug LabelingPharmacogeneticsCardiovascular AgentsCardiovascular DiseasesGenotypeHumansOutcome Assessment, Health CarePatient SelectionPolymorphism, GeneticPractice Patterns, Physicians'Cardiovascular Agents

Identifiers

PMID26046407
PMCPMC4475352
OpenAlexW1580334294

What OpenQuestion holds

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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.