Evidence map›Paper›PMID 23978487›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2014

Development and use of active clinical decision support for preemptive pharmacogenomics.

Gillian C Bell, Kristine R Crews, Mark R Wilkinson, Cyrine E Haidar, J Kevin Hicks, Donald K Baker, Nancy M Kornegay, Wenjian Yang, Shane J Cross, Scott C Howard and 5 more

Open access · hybridAbstract readEvaluation Study
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 114 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
114citing papers in PubMed, 7 pooled it
36.3field-weighted citation impact, top 1% 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

114 citing papers in PubMed, 7 syntheses or guidelines pooled it, 205 citations in OpenAlex.

  1. Guideline
  2. Genetically guided precision medicine clinical decision support tools: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2024
    Pooled it
  3. Pooled it
  4. Guideline
  5. Pooled it
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  7. Primary-care providers' perceived barriers to integration of genetics services: a systematic review of the literature.Genetics in medicine : official journal of the American College of Medical Genetics · 2015
    Pooled it
  8. Trial
  9. Trial
  10. Trial
  11. Trial
  12. Article
  13. Article
  14. Article
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  16. Article
  17. Overcoming Barriers to Discovery and Implementation of Equitable Pharmacogenomic Testing in Oncology.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2024
    Review
  18. Article
  19. Review
  20. Article

54 more citing papers are in PubMed but not listed here.

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

15 authors at 3 institutions in 1 country.

Gillian C BellDepartment of Pharmaceutical Sciences, St. Jude Children's Research Hospital, Memphis, Tennessee, USA.
Kristine R Crews
Mark R Wilkinson
Cyrine E Haidar
J Kevin Hicks
Donald K Baker
Nancy M Kornegay
Wenjian Yang
Shane J Cross
Scott C Howard
Robert R Freimuth
William E Evans
Ulrich Broeckel
Mary V Relling
James M Hoffman
St. Jude Children's Research Hospital · USMayo Clinic in Florida · USMedical College of Wisconsin · US

Funding

Viral Vector Technology (VVTSR)P30CA021765 · NCI · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI CHARLES ROBERTS · 1985 to 2026
$166.9M
Pharmacogenetics of Phase II Drug Metabolizing EnzymesU19GM061388 · NIGMS · MAYO CLINIC ROCHESTER · PI WEINSHILBOUM, RICHARD M. · 2010 to 2014
$15.8M
Pharmacogenomics of Anti-platlet Intervention-2 (PAPI-2) StudyU01HL105198 · NHLBI · UNIVERSITY OF MARYLAND BALTIMORE · PI SHULDINER, ALAN R. · 2010 to 2014
$13.6M
PHARMACOGENOMICS OF CHILDHOOD LEUKEMIA (ALL)R37CA036401 · NCI · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI EVANS, WILLIAM E · 1987 to 2014
$9.7M
PAARK4Kids-Pharmacogenomics of Anticancer Agents Research in ChildrenU01GM092666 · NIGMS · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI RELLING, MARY V · 2010 to 2014
$8.9M
Pharmacogenomics of Childhood Leukemia ALLR01CA036401 · NCI · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI EVANS, WILLIAM E · 1985 to 2019
$3.6M
NCI NIH HHS CA 21765NCI NIH HHS CA 36401NCI NIH HHS P30 CA021765NCI NIH HHS R01 CA036401NCI NIH HHS R37 CA036401NHLBI NIH HHS U01 HL105198NHLBI NIH HHS U01 HL105918NIGMS NIH HHS U01 GM092666NIGMS NIH HHS U01 GM92666NIGMS NIH HHS U19 GM061388NIGMS NIH HHS U19 GM61388
6 · The paper itself

Abstract

backgroundActive clinical decision support (CDS) delivered through an electronic health record (EHR) facilitates gene-based drug prescribing and other applications of genomics to patient care.

objectiveWe describe the development, implementation, and evaluation of active CDS for multiple pharmacogenetic test results reported preemptively. MATERIALS AND

methodsClinical pharmacogenetic test results accompanied by clinical interpretations are placed into the patient's EHR, typically before a relevant drug is prescribed. Problem list entries created for high-risk phenotypes provide an unambiguous trigger for delivery of post-test alerts to clinicians when high-risk drugs are prescribed. In addition, pre-test alerts are issued if a very-high risk medication is prescribed (eg, a thiopurine), prior to the appropriate pharmacogenetic test result being entered into the EHR. Our CDS can be readily modified to incorporate new genes or high-risk drugs as they emerge.

resultsThrough November 2012, 35 customized pharmacogenetic rules have been implemented, including rules for TPMT with azathioprine, thioguanine, and mercaptopurine, and for CYP2D6 with codeine, tramadol, amitriptyline, fluoxetine, and paroxetine. Between May 2011 and November 2012, the pre-test alerts were electronically issued 1106 times (76 for thiopurines and 1030 for drugs metabolized by CYP2D6), and the post-test alerts were issued 1552 times (1521 for TPMT and 31 for CYP2D6). Analysis of alert outcomes revealed that the interruptive CDS appropriately guided prescribing in 95% of patients for whom they were issued.

conclusionsOur experience illustrates the feasibility of developing computational systems that provide clinicians with actionable alerts for gene-based drug prescribing at the point of care.

Indexed as

Decision Support Systems, ClinicalElectronic Health RecordsHumansPharmacogeneticsclinical decision supportelectronic health recordpersonalized medicinepharmacogenetics

Identifiers

PMID23978487
PMCPMC3957400
OpenAlexW2143158333

What OpenQuestion holds

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LicenceCC BY-NC
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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.