Evidence map›Paper›PMID 31961467›Full record

ArticleClinical and translational science2020

Pharmacogenetics in Practice: Estimating the Clinical Actionability of Pharmacogenetic Testing in Perioperative and Ambulatory Settings.

D Max Smith, Beth N Peshkin, T Blaise Springfield, Ryan P Brown, Elizabeth Hwang, Susanna Kmiecik, Richard Shapiro, Zayd Eldadah, Conor Lundergan, Joel McAlduff and 2 more

Abstract readMulticenter Study
In one paragraph

Article in Clinical and translational science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. How to Implement a Pharmacogenetics Service at your Institution.Journal of the American College of Clinical Pharmacy : JACCP · 2022
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Patients dispensed medications with actionable pharmacogenomic biomarkers: rates and characteristics.Genetics in medicine : official journal of the American College of Medical Genetics · 2021
    Article
  16. Article
  17. Article
  18. Review
  19. 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

12 authors.

D Max SmithMedStar Health, Columbia, Maryland, USA.
Beth N PeshkinGeorgetown University Medical Center, Washington, DC, USA.
T Blaise SpringfieldGeorgetown University Medical Center, Washington, DC, USA.
Ryan P BrownMedStar Health, Columbia, Maryland, USA.
Elizabeth HwangMedStar Health, Columbia, Maryland, USA.
Susanna KmiecikMedStar Georgetown University Hospital, Washington, DC, USA.
Richard ShapiroMedStar Union Memorial Hospital, Baltimore, Maryland, USA.
Zayd EldadahMedStar Washington Hospital Center, Washington, DC, USA.
Conor LunderganMedStar Cardiology Associates, LLC, Leonardtown, Maryland, USA.
Joel McAlduffMedStar Health, Columbia, Maryland, USA.
Bonnie LevinMedStar Health, Columbia, Maryland, USA.
Sandra M SwainMedStar Health, Columbia, Maryland, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Most literature describing pharmacogenetic implementations are within academic medical centers and use single-gene tests. Our objective was to describe the results and lessons learned from a multisite pharmacogenetic pilot that utilized panel-based testing in academic and nonacademic settings. This was a retrospective analysis of 667 patients from a pilot in 4 perioperative and 5 outpatient cardiology clinics. Recommendations related to 12 genes and 65 drugs were classified as actionable or not actionable. They were ascertained from Clinical Pharmacogenetics Implementation Consortium (CPIC) guidelines and US Food and Drug Administration (FDA) labeling. Patients displayed a high prevalence of actionable results (88%, 99%) and use of medications (28%, 46%) with FDA or CPIC recommendations, respectively. Sixteen percent of patients had an actionable result for a current medication per CPIC compared with 5% per FDA labeling. A systematic approach by a health system may be beneficial given the quantity and diversity of patients affected.

Indexed as

AgedAmbulatory CareDistrict of ColumbiaFemaleHumansMaleMarylandMiddle AgedPerioperative CarePharmacogenomic TestingPilot ProjectsPractice Guidelines as TopicPractice Patterns, Physicians'Precision MedicineRetrospective StudiesUnited States

Identifiers

PMID31961467
PMCPMC7214646

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.