Evidence map›Paper›PMID 21044357›Full record

ArticleBMC bioinformatics2010

Feasibility of incorporating genomic knowledge into electronic medical records for pharmacogenomic clinical decision support.

Casey Lynnette Overby, Peter Tarczy-Hornoch, James I Hoath, Ira J Kalet, David L Veenstra

Abstract read
In one paragraph

Article in BMC bioinformatics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

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

  1. Clinical decision support for genetically guided personalized medicine: a systematic review.Journal of the American Medical Informatics Association : JAMIA
    Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Genomic decision support needs in pediatric primary care.Journal of the American Medical Informatics Association : JAMIA · 2017
    Article
  7. Review
  8. Article
  9. Review
  10. An Extended SNOMED CT Concept Model for Observations in Molecular Genetics.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2016
    Article
  11. Review
  12. Privacy in the Genomic Era.ACM computing surveys · 2015
    Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. A survey of informatics approaches to whole-exome and whole-genome clinical reporting in the electronic health record.Genetics in medicine : official journal of the American College of Medical Genetics · 2013
    Article
  19. Article
  20. Article
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

5 authors.

Casey Lynnette OverbyDepartment of Medical Education & Biomedical Informatics, University of Washington, Seattle, WA, USA. overbyc@uw.edu
Peter Tarczy-Hornoch
James I Hoath
Ira J Kalet
David L Veenstra

Funding

INSTITUTE FOR TRANSLATIONAL HEALTH SCIENCE (UL1): BPCAUL1RR025014 · NCRR · UNIVERSITY OF WASHINGTON · PI DISIS, MARY L. · 2007 to 2011
$51.5M
University of Washington Biomedical Informatics and Data Science Research Training ProgramT15LM007442 · NLM · UNIVERSITY OF WASHINGTON · PI JOHN H. GENNARI, Andrea L. Hartzler · 2002 to 2026
$19.6M
NCRR NIH HHS 1 UL1 RR 025014NLM NIH HHS T15 LM07442
6 · The paper itself

Abstract

In pursuing personalized medicine, pharmacogenomic (PGx) knowledge may help guide prescribing drugs based on a person's genotype. Here we evaluate the feasibility of incorporating PGx knowledge, combined with clinical data, to support clinical decision-making by: 1) analyzing clinically relevant knowledge contained in PGx knowledge resources; 2) evaluating the feasibility of a rule-based framework to support formal representation of clinically relevant knowledge contained in PGx knowledge resources; and, 3) evaluating the ability of an electronic medical record/electronic health record (EMR/EHR) to provide computable forms of clinical data needed for PGx clinical decision support. Findings suggest that the PharmGKB is a good source for PGx knowledge to supplement information contained in FDA approved drug labels. Furthermore, we found that with supporting knowledge (e.g. IF age <18 THEN patient is a child), sufficient clinical data exists in University of Washington's EMR systems to support 50% of PGx knowledge contained in drug labels that could be expressed as rules.

Indexed as

Decision Support Systems, ClinicalElectronic Health RecordsDatabases, FactualGenome, HumanHumansPharmacogeneticsPrecision Medicine

Identifiers

PMID21044357
PMCPMC2967740

What OpenQuestion holds

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LicenceCC BY
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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.