Evidence map›Paper›PMID 30697975›Full record

ReviewCPT: pharmacometrics & systems pharmacology2019

Reproducibility of Quantitative Systems Pharmacology Models: Current Challenges and Future Opportunities.

Daniel C Kirouac, Brian Cicali, Stephan Schmidt

Abstract readReview
In one paragraph

Review 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 28 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

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

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Review
  5. Review
  6. Article
  7. Review
  8. An industry perspective on current QSP trends in drug development.Journal of pharmacokinetics and pharmacodynamics · 2024
    Article
  9. Article
  10. Evaluation framework for systems models.CPT: pharmacometrics & systems pharmacology · 2022
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. High-throughput PBTK models forExpert opinion on drug metabolism & toxicology · 2021
    Review
  16. Article
  17. Review
  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

3 authors.

Daniel C KirouacApplied BioMath LLC, Oakland, California, USA.
Brian CicaliCenter for Pharmacometrics and Systems Pharmacology, University of Florida, Orlando, Florida, USA.
Stephan SchmidtCenter for Pharmacometrics and Systems Pharmacology, University of Florida, Orlando, Florida, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The provision of model code is required for publication in CPT: Pharmacometrics & Systems Pharmacology, enabling quantitative systems pharmacology (QSP) model availability. A searchable repository of published QSP models would enhance model accessibility. We assess the feasibility of establishing such a resource based on 18 QSP models published in this journal. However, because of the diversity of software platforms (nine), file formats, and functionality, such a resource is premature. We evaluated 12 of the models (those coded in R, PK-Sim/MoBi, and MATLAB) for functionality. Of the 12, only 4 were executable in that figures from the associated manuscript could be generated via a "run" script. Many researchers are aware of the challenges involved in repurposing published models. We offer some ideas to enable model sharing going forward, including annotation guidelines, standardized formats, and the inclusion of "run" scripts. If practitioners can agree to some minimum standards for the provision of model code, model reuse and extension would be accelerated.

Indexed as

Drug DiscoveryGuidelines as TopicHumansModels, BiologicalPublishingReproducibility of ResultsSoftwareSystems Biology

Identifiers

PMID30697975
PMCPMC6482280

What Socratic 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 Socratic graph.