Evidence map›Paper›PMID 34216021›Full record

ArticleClinical pharmacology and therapeutics2021

An Evidence-Based Framework for Evaluating Pharmacogenomics Knowledge for Personalized Medicine.

Michelle Whirl-Carrillo, Rachel Huddart, Li Gong, Katrin Sangkuhl, Caroline F Thorn, Ryan Whaley, Teri E Klein

Registry-linked trialAbstract read
In one paragraph

Article in Clinical pharmacology and therapeutics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06053411 (Pilot Study to Assess the Contribution of UGT2B17 and Associated Genetic Polymorphisms on the Pharmacokinetics of Diclofenac Alone and Upon Co-administration With Curcumin), which is not on this map. Cited by 434 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
434citing papers in PubMed, 5 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.

NCT06053411 early_phase1recruitingnot on this mapstarted 2024, after this paper: background citation

Pilot Study to Assess the Contribution of UGT2B17 and Associated Genetic Polymorphisms on the Pharmacokinetics of Diclofenac Alone and Upon Co-administration With Curcumin

TypeinterventionalSponsorWashington State UniversityRan2024 to 2026Enrolled30ConditionsInteractionArmsDiclofenac, curcumin
3 · Its place in the literature

Who cites it

434 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
  2. Association BetweenMedicina (Kaunas, Lithuania) · 2026
    Pooled it
  3. Pooled it
  4. Guideline
  5. Guideline
  6. Trial
  7. Trial
  8. Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. CYP2D6 Metabolizer Status and Mortality in Metoprolol Users.Clinical and translational science · 2026
    Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article

374 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

7 authors.

Michelle Whirl-CarrilloDepartment of Biomedical Data Science, School of Medicine, Stanford University, Stanford, California, USA.ORCID 0000-0003-2414-9312
Rachel HuddartDepartment of Biomedical Data Science, School of Medicine, Stanford University, Stanford, California, USA.ORCID 0000-0002-5332-8312
Li GongDepartment of Biomedical Data Science, School of Medicine, Stanford University, Stanford, California, USA.
Katrin SangkuhlDepartment of Biomedical Data Science, School of Medicine, Stanford University, Stanford, California, USA.ORCID 0000-0001-7880-5843
Caroline F ThornDepartment of Biomedical Data Science, School of Medicine, Stanford University, Stanford, California, USA.
Ryan WhaleyDepartment of Biomedical Data Science, School of Medicine, Stanford University, Stanford, California, USA.ORCID 0000-0002-8810-3893
Teri E KleinDepartment of Biomedical Data Science and Biomedical Informatics Research, School of Medicine, Stanford University, Stanford, California, USA.

Funding

PharmGKB: pharmacogenomics discovery and implementationU24HG010615 · NHGRI · STANFORD UNIVERSITY · PI TERI Ellen KLEIN, Michelle Whirl-Carrillo · 2020 to 2026
$9.5M
NHGRI NIH HHS U24 HG010615
6 · The paper itself

Abstract

Clinical annotations are one of the most popular resources available on the Pharmacogenomics Knowledgebase (PharmGKB). Each clinical annotation summarizes the association between variant-drug pairs, shows relevant findings from the curated literature, and is assigned a level of evidence (LOE) to indicate the strength of support for that association. Evidence from the pharmacogenomic literature is curated into PharmGKB as variant annotations, which can be used to create new clinical annotations or added to existing clinical annotations. This means that the same clinical annotation can be worked on by multiple curators over time. As more evidence is curated into PharmGKB, the task of maintaining consistency when assessing all the available evidence and assigning an LOE becomes increasingly difficult. To remedy this, a scoring system has been developed to automate LOE assignment to clinical annotations. Variant annotations are scored according to certain attributes, including study size, reported P value, and whether the variant annotation supports or fails to find an association. Clinical guidelines or US Food and Drug Administration (FDA)-approved drug labels which give variant-specific prescribing guidance are also scored. The scores of all annotations attached to a clinical annotation are summed together to give a total score for the clinical annotation, which is used to calculate an LOE. Overall, the system increases transparency, consistency, and reproducibility in LOE assignment to clinical annotations. In combination with increased standardization of how clinical annotations are written, use of this scoring system helps to ensure that PharmGKB clinical annotations continue to be a robust source of pharmacogenomic information.

Indexed as

Databases, GeneticDrug LabelingDrug PrescriptionsHumansKnowledge BasesPharmacogeneticsPrecision MedicinePrescription DrugsReproducibility of ResultsPrescription Drugs

Identifiers

PMID34216021
PMCPMC8457105

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

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.