Evidence map›Paper›PMID 30667172›Full record

ArticleCPT: pharmacometrics & systems pharmacology2019

Best Practices to Maximize the Use and Reuse of Quantitative and Systems Pharmacology Models: Recommendations From the United Kingdom Quantitative and Systems Pharmacology Network.

Lourdes Cucurull-Sanchez, Michael J Chappell, Vijayalakshmi Chelliah, S Y Amy Cheung, Gianne Derks, Mark Penney, Alex Phipps, Rahuman S Malik-Sheriff, Jon Timmis, Marcus J Tindall and 3 more

Abstract read
In one paragraph

Article in CPT: pharmacometrics & systems pharmacology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 2 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

41 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. New approach methodologies (NAMs) for preclinical and translational evaluation of mRNA-lipid nanoparticle (LNP) therapeutics.Journal of controlled release : official journal of the Controlled Release Society · 2026
    Review
  5. Recent Advances in AI and GenAI for Health Informatics.Healthcare (Basel, Switzerland) · 2026
    Review
  6. Article
  7. Article
  8. Review
  9. A Framework for Quantitative Systems Pharmacology Model Execution.Handbook of experimental pharmacology · 2025
    Review
  10. Review
  11. Future Directions for Quantitative Systems Pharmacology.Handbook of experimental pharmacology · 2025
    Review
  12. Review
  13. Review
  14. Current practices for QSP model assessment: an IQ consortium survey.Journal of pharmacokinetics and pharmacodynamics · 2024
    Article
  15. Towards a comprehensive assessment of QSP models: what would it take?Journal of pharmacokinetics and pharmacodynamics · 2024
    Review
  16. An industry perspective on current QSP trends in drug development.Journal of pharmacokinetics and pharmacodynamics · 2024
    Article
  17. Article
  18. Article
  19. Article
  20. Review
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

13 authors.

Lourdes Cucurull-SanchezGlaxoSmithKline Medicines Research Centre, Stevenage, UK.
Michael J ChappellSchool of Engineering, University of Warwick, Coventry, UK.
Vijayalakshmi ChelliahCertara QSP, Canterbury, UK.
S Y Amy CheungQuantitative Clinical Pharmacology, Early Clinical Development, Innovative Medicines and Early Development Biotech Unit, AstraZeneca, Cambridge, UK.
Gianne DerksDepartment of Mathematics, University of Surrey, Guildford, UK.
Mark PenneyUnion Chimique Belge-Celltech, Slough, Berkshire, UK.
Alex PhippsPharmaceutical Sciences, Roche Pharmaceutical Research & Early Development, Roche Innovation Center, Welwyn Garden City, UK.
Rahuman S Malik-SheriffEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Cambridge, UK.
Jon TimmisDepartment of Electronic Engineering, University of York, York, UK.
Marcus J TindallDepartment of Mathematics and Statistics, University of Reading, Reading, UK.
Piet H van der GraafCertara QSP, Canterbury, UK.
Paolo ViciniClinical Pharmacology, Pharmacometrics and Drug Metabolism and Pharmaco-Kinetics, MedImmune, Cambridge, UK.
James W T YatesDrug Metabolism and Pharmaco-Kinetics, Oncology, Innovative Medicines and Early Development, AstraZeneca, Chesterford Research Park, Cambridge, UK.

Funding

Biotechnology and Biological Sciences Research Council BB/N019482/1Medical Research Council
6 · The paper itself

Abstract

The lack of standardization in the way that quantitative and systems pharmacology (QSP) models are developed, tested, and documented hinders their reproducibility, reusability, and expansion or reduction to alternative contexts. This in turn undermines the potential impact of QSP in academic, industrial, and regulatory frameworks. This article presents a minimum set of recommendations from the UK Quantitative and Systems Pharmacology Network (UK QSP Network) to guide QSP practitioners seeking to maximize their impact, and stakeholders considering the use of QSP models in their environment.

Indexed as

HumansModels, BiologicalParathyroid HormonePractice Guidelines as TopicReproducibility of ResultsSystems BiologyUnited KingdomParathyroid Hormone

Identifiers

PMID30667172
PMCPMC6533407

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.