Evidence map›Paper›PMID 28073152›Full record

ArticleClinical pharmacology and therapeutics2017

Characterizing Pharmacogenomic-Guided Medication Use With a Clinical Data Repository.

P C Mathias, N Hendrix, W-J Wang, K Keyloun, M Khelifi, P Tarczy-Hornoch, B Devine

Abstract readMulticenter Study
In one paragraph

Article in Clinical pharmacology and therapeutics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Patients dispensed medications with actionable pharmacogenomic biomarkers: rates and characteristics.Genetics in medicine : official journal of the American College of Medical Genetics · 2021
    Article
  5. Review
  6. 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

7 authors.

P C MathiasDepartment of Laboratory Medicine, University of Washington, Seattle, Washington, USA.
N HendrixPharmaceutical Outcomes Research and Policy Program, University of Washington, Seattle, Washington, USA.
W-J WangPharmaceutical Outcomes Research and Policy Program, University of Washington, Seattle, Washington, USA.
K KeylounPharmaceutical Outcomes Research and Policy Program, University of Washington, Seattle, Washington, USA.
M KhelifiDepartment of Biomedical Informatics and Medical Education, University of Washington, Seattle, Washington, USA.
P Tarczy-HornochDepartment of Biomedical Informatics and Medical Education, University of Washington, Seattle, Washington, USA.
B DevinePharmaceutical Outcomes Research and Policy Program, University of Washington, Seattle, Washington, USA.

Funding

Institute of Translational Health SciencesUL1TR000423 · NCATS · UNIVERSITY OF WASHINGTON · PI DISIS, MARY L. · 2012 to 2016
$49.4M
NCCIH Supplement to NCATS/CTSA Program for KL2 Scholars - M. SoddersKL2TR002317 · NCATS · UNIVERSITY OF WASHINGTON · PI Christy Michelle McKinney · 2017 to 2026
$14.5M
Institute of Translational Health SciencesKL2TR000421 · NCATS · UNIVERSITY OF WASHINGTON · PI DISIS, MARY L. · 2012 to 2016
$12.6M
Methods and Data CoreR24HD042828 · NICHD · UNIVERSITY OF WASHINGTON · PI TOLNAY, STEWART E · 2002 to 2016
$9.3M
University of Washington Health Services Research Training ProgramT32HS013853 · AHRQ · UNIVERSITY OF WASHINGTON · PI WEINER, BRYAN J., WILLIAMS, EMILY CATERINA · 2003 to 2024
$6.9M
Institute of Translational Health SciencesTL1TR000422 · NCATS · UNIVERSITY OF WASHINGTON · PI DISIS, MARY L. · 2012 to 2016
$2.1M
AHRQ HHS T32 HS013853NCATS NIH HHS KL2 TR000421NCATS NIH HHS KL2 TR002317NCATS NIH HHS TL1 TR000422NCATS NIH HHS UL1 TR000423NICHD NIH HHS R24 HD042828
6 · The paper itself

Abstract

The extent to which pharmacogenomic-guided medication use has been adopted in various health systems is unclear. To assess the uptake of pharmacogenomic-guided medication use, we determined its frequency across our health system, which does not have a structured testing program. Using a multisite clinical data repository, we identified adult patients' first prescribed medications between January 2011 and December 2013 and investigated the frequency of germline and somatic pharmacogenomic testing, by the Pharmacogenomics Knowledgebase level of the US Food and Drug Administration label information. There were 268,262 medication orders for drugs with germline pharmacogenomic testing information in their drug labels. Pharmacogenomic testing was detected for 1.5% (129/8,718) of medication orders with recommended or required testing. Of the 3,817 medication orders associated with somatic pharmacogenomic testing information in their drug labels, 20% (372/1,819) of required tests were detected. The low rates of detectable pharmacogenomic testing suggest that structured testing programs are required to achieve the success of precision medicine.

Indexed as

Databases, FactualDrug UtilizationAdultAgedCohort StudiesFemaleHumansMaleMiddle AgedPharmacogeneticsPharmacogenomic TestingPrecision MedicineRetrospective Studies

Identifiers

PMID28073152
PMCPMC5503815

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.