Evidence map›Paper›PMID 31024324›Full record

ReviewFrontiers in pharmacology2019

Integrating Next-Generation Sequencing in the Clinical Pharmacogenomics Workflow.

Efstathia Giannopoulou, Theodora Katsila, Christina Mitropoulou, Evangelia-Eirini Tsermpini, George P Patrinos

Abstract readReview
In one paragraph

Review in Frontiers in pharmacology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Advancing Pharmacogenomics from Single-Gene to Preemptive Testing.Annual review of genomics and human genetics · 2022
    Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. The Human Phenotype Ontology in 2021.Nucleic acids research · 2021
    Article
  11. Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. 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.

Efstathia GiannopoulouDepartment of Pharmacy, School of Health Sciences, University of Patras, Patras, Greece.
Theodora KatsilaDepartment of Pharmacy, School of Health Sciences, University of Patras, Patras, Greece.
Christina MitropoulouThe Golden Helix Foundation, London, United Kingdom.
Evangelia-Eirini TsermpiniDepartment of Pharmacy, School of Health Sciences, University of Patras, Patras, Greece.
George P PatrinosDepartment of Pharmacy, School of Health Sciences, University of Patras, Patras, Greece.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pharmacogenomics has been recognized as a fundamental tool in the era of personalized medicine with up to 266 drug labels, approved by major regulatory bodies, currently containing pharmacogenomics information. Next-generation sequencing analysis assumes a critical role in personalized medicine, providing a comprehensive profile of an individual's variome, particularly that of clinical relevance, comprising of pathogenic variants and pharmacogenomic biomarkers. Here, we propose a strategy to integrate next-generation sequencing into the current clinical pharmacogenomics workflow from deep resequencing to pharmacogenomics consultation, according to the existing guidelines and recommendations.

Indexed as

clinical decision support toolsclinical pharmacogenomicsimplementationnext-generation sequencingworkflow

Identifiers

PMID31024324
PMCPMC6460422

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.