Evidence map›Paper›PMID 30210808›Full record

ReviewNPJ genomic medicine2018

User considerations in assessing pharmacogenomic tests and their clinical support tools.

Gouri Mukerjee, Andrea Huston, Boyko Kabakchiev, Micheline Piquette-Miller, Ron van Schaik, Ruslan Dorfman

Abstract readReview
In one paragraph

Review in NPJ genomic medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Article
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  9. Different perspectives on translational genomics in personalized medicineJournal of the Turkish German Gynecological Association · 2022
    Article
  10. Frontiers in pharmacology · 2022
    Article
  11. Review
  12. Drug resistance: from bacteria to cancer.Molecular biomedicine · 2021
    Review
  13. Article
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  15. Article
  16. Article
  17. Review
  18. Article
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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

6 authors.

Gouri MukerjeeGeneYouIn Inc., 156 Front St. W., Toronto, ON Canada.
Andrea HustonGeneYouIn Inc., 156 Front St. W., Toronto, ON Canada.
Boyko KabakchievGeneYouIn Inc., 156 Front St. W., Toronto, ON Canada.
Micheline Piquette-Miller3Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, ON Canada.
Ron van Schaik4International Expert Center Pharmacogenetics, Department of Clinical Chemistry, Erasmus University Medical Center, Rotterdam, The Netherlands.
Ruslan DorfmanGeneYouIn Inc., 156 Front St. W., Toronto, ON Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pharmacogenomic (PGx) testing is gaining recognition from physicians, pharmacists and patients as a tool for evidence-based medication management. However, seemingly similar PGx testing panels (and PGx-based decision support tools) can diverge in their technological specifications, as well as the genetic factors that determine test specificity and sensitivity, and hence offer different values for users. Reluctance to embrace PGx testing is often the result of unfamiliarity with PGx technology, a lack of knowledge about the availability of curated guidelines/evidence for drug dosing recommendations, and an absence of wide-spread institutional implementation efforts and educational support. Demystifying an often confusing and variable PGx marketplace can lead to greater acceptance of PGx as a standard-of-care practice that improves drug outcomes and provides a lifetime value for patients. Here, we highlight the key underlying factors of a PGx test that should be considered, and discuss the current progress of PGx implementation.

Identifiers

PMID30210808
PMCPMC6133969

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.