Evidence map›Paper›PMID 32317559›Full record

ArticlePharmacogenetics and genomics2020

Generating evidence for precision medicine: considerations made by the Ubiquitous Pharmacogenomics Consortium when designing and operationalizing the PREPARE study.

Cathelijne H van der Wouden, Stefan Böhringer, Erika Cecchin, Ka-Chun Cheung, Cristina Lucía Dávila-Fajardo, Vera H M Deneer, Vita Dolžan, Magnus Ingelman-Sundberg, Siv Jönsson, Mats O Karlsson and 17 more

Open access · hybridAbstract read
In one paragraph

Article in Pharmacogenetics and genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
5.0field-weighted citation impact, top 4% 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

24 citing papers in PubMed, 40 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Observational
  11. Article
  12. Review
  13. Metabolomics and NMR.Handbook of experimental pharmacology · 2023
    Article
  14. Article
  15. Review
  16. Review
  17. Article
  18. Review
  19. Drug-Drug-Gene Interactions in Cardiovascular Medicine.Pharmacogenomics and personalized medicine · 2022
    Review
  20. Multisite investigation of strategies for the clinical implementation of pre-emptive pharmacogenetic testing.Genetics in medicine : official journal of the American College of Medical Genetics · 2021
    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

27 authors at 16 institutions in 11 countries.

Cathelijne H van der WoudenDepartment of Clinical Pharmacy and Toxicology, Leiden University Medical Center.
Stefan BöhringerDepartment of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands.
Erika CecchinExperimental and Clinical Pharmacology, Experimental and Clinical Pharmacology; Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, National Cancer Institute, Aviano, Italy.
Ka-Chun CheungMedicine Information Centre, Royal Dutch Pharmacists Association (KNMP), The Hague, The Netherlands.
Cristina Lucía Dávila-FajardoDepartment of Clinical Pharmacy, San Cecilio University Hospital, Instituto de investigación biosanitaria de Granada, ibs.Granada, Granada, Spain.
Vera H M DeneerDepartment of Clinical Pharmacy, Division of Laboratories, Pharmacy, and Biomedical Genetics, University Medical Center Utrecht, Utrecht, The Netherlands.
Vita DolžanPharmacogenetics Laboratory, Faculty of Medicine, Institute of Biochemistry, University of Ljubljana, Slovenia.
Magnus Ingelman-SundbergDepartment of Physiology and Pharmacology, Section of Pharmacogenetics, Karolinska Institutet, Stockholm.
Siv JönssonDepartment of Physiology and Pharmacology, Section of Pharmacogenetics, Karolinska Institutet, Stockholm.
Mats O KarlssonDepartment of Pharmaceutical Biosciences, Uppsala University, Uppsala, Sweden.
Marjolein KriekDepartment of Clinical Genetics, Leiden University Medical Center, Leiden, The Netherlands.
Christina MitropoulouThe Golden Helix Foundation, London, UK.
George P PatrinosDepartment of Pharmacy, University of Patras, School of Health Sciences, University Campus, Rion, Patras, Greece.
Munir PirmohamedDepartment of Molecular and Clinical Pharmacology, University of Liverpool, and Royal Liverpool University Hospital, Liverpool, UK.
Emmanuelle Rial-SebbagUMR 1027 Inserm and Université de Toulouse III Paul Sabatier, Toulouse, France.
Matthias SamwaldCenter for Medical Statistics, Informatics, and Intelligent Systems, Medical University of Vienna, Vienna, Austria.
Matthias SchwabDepartment of Clinical Pharmacology, Dr. Margarete Fischer-Bosch Institute of Clinical Pharmacology, Stuttgart, Germany and University of Tübingen.
Daniela Steinbergerbio.logis Center for Human Genetics, Frankfurt am Main.
Julia StinglInstitute of Clinical Pharmacology, University Hospital of RWTH Aachen, Aachen, Germany.
Gere Sunder-PlassmannDepartment of Internal Medicine III, Division of Nephrology and Dialysis, Medical University of Venna, Vienna, Austria.
Giuseppe ToffoliExperimental and Clinical Pharmacology, Experimental and Clinical Pharmacology; Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, National Cancer Institute, Aviano, Italy.
Richard M TurnerDepartment of Molecular and Clinical Pharmacology, University of Liverpool, and Royal Liverpool University Hospital, Liverpool, UK.
Mandy H van RhenenMedicine Information Centre, Royal Dutch Pharmacists Association (KNMP), The Hague, The Netherlands.
Erik van ZwetDepartment of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands.
Jesse J SwenDepartment of Clinical Pharmacy and Toxicology, Leiden University Medical Center.
Henk-Jan GuchelaarDepartment of Clinical Pharmacy and Toxicology, Leiden University Medical Center.
Ubiquitous Pharmacogenomics Consortium
Leiden University Medical Center · NLCentro di Riferimento Oncologico · ITKarolinska Institutet · SERoyal Dutch Pharmacists Association · NLRoyal Liverpool University Hospital · GBGolden Helix Foundation · GBInstituto de Investigación Biosanitaria de Granada · ESJustus-Liebig-Universität Gießen · DEMedical University of Vienna · ATRWTH Aachen University · DEUniversité Fédérale de Toulouse Midi-Pyrénées · FRUniversity Children's Hospital Tübingen · DEUniversity Medical Center Utrecht · NLUniversity of Ljubljana · SIUniversity of Patras · GRUppsala University · SE

Funding

Medical Research Council MR/L006758/1
6 · The paper itself

Abstract

objectivesPharmacogenetic panel-based testing represents a new model for precision medicine. A sufficiently powered prospective study assessing the (cost-)effectiveness of a panel-based pharmacogenomics approach to guide pharmacotherapy is lacking. Therefore, the Ubiquitous Pharmacogenomics Consortium initiated the PREemptive Pharmacogenomic testing for prevention of Adverse drug Reactions (PREPARE) study. Here, we provide an overview of considerations made to mitigate multiple methodological challenges that emerged during the design.

methodsAn evaluation of considerations made when designing the PREPARE study across six domains: study aims and design, primary endpoint definition and collection of adverse drug events, inclusion and exclusion criteria, target population, pharmacogenomics intervention strategy, and statistical analyses.

resultsChallenges and respective solutions included: (1) defining and operationalizing a composite primary endpoint enabling measurement of the anticipated effect, by including only severe, causal, and drug genotype-associated adverse drug reactions; (2) avoiding overrepresentation of frequently prescribed drugs within the patient sample while maintaining external validity, by capping drugs of enrolment; (3) designing the pharmacogenomics intervention strategy to be applicable across ethnicities and healthcare settings; and (4) designing a statistical analysis plan to avoid dilution of effect by initially excluding patients without a gene-drug interaction in a gatekeeping analysis.

conclusionOur design considerations will enable quantification of the collective clinical utility of a panel of pharmacogenomics-markers within one trial as a proof-of-concept for pharmacogenomics-guided pharmacotherapy across multiple actionable gene-drug interactions. These considerations may prove useful to other investigators aiming to generate evidence for precision medicine.

Indexed as

Drug-Related Side Effects and Adverse ReactionsEvidence-Based MedicineHumansModels, StatisticalPharmacogenomic TestingPractice Guidelines as TopicPrecision MedicineProspective Studies

Identifiers

PMID32317559
PMCPMC7331826
OpenAlexW3017267835

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.