Evidence map›Paper›PMID 23887647›Full record

ArticleCPT: pharmacometrics & systems pharmacology2013

Drug and disease model resources: a consortium to create standards and tools to enhance model-based drug development.

L Harnisch, I Matthews, J Chard, M O Karlsson

Abstract read
In one paragraph

Article in CPT: pharmacometrics & systems pharmacology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
–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

25 citing papers in PubMed.

  1. Trial
  2. Review
  3. Review
  4. Article
  5. Drug Dosing Recommendations for All Patients: A Roadmap for Change.Clinical pharmacology and therapeutics · 2021
    Review
  6. Review
  7. Article
  8. Review
  9. Data standards for model-informed drug development: an ISoP initiative.Journal of pharmacokinetics and pharmacodynamics · 2018
    Article
  10. The Standard Output: A Tool-Agnostic Modeling Storage Format.CPT: pharmacometrics & systems pharmacology · 2018
    Article
  11. Article
  12. PharmML in Action: an Interoperable Language for Modeling and Simulation.CPT: pharmacometrics & systems pharmacology · 2017
    Article
  13. Article
  14. Harnessing Big Data for Systems Pharmacology.Annual review of pharmacology and toxicology · 2017
    Review
  15. Article
  16. Article
  17. Review
  18. Article
  19. The promises of quantitative systems pharmacology modelling for drug development.Computational and structural biotechnology journal · 2016
    Review
  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

4 authors.

L HarnischClinical Pharmacology/Pharmacometrics, Pfizer, Sandwich, UK.
I Matthews
J Chard
M O Karlsson

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Model-based drug development (MBDD) is accepted as a vital approach in understanding patients' drug-related benefit and risk by integrating quantitative information integration from diverse sources collected throughout drug development.(1) This perspective introduces the activities of the Drug and Disease Model Resources (DDMoRe) consortium, founded in 2011 through the Innovative Medicines Initiative Joint Undertaking (IMI-JU)(2) as a European public-private partnership to address a lack of common tools, languages, and standards for modeling and simulation (M&S) to improve model-based knowledge integration.CPT: Pharmacometrics & Systems Pharmacology (2013) 2, e34; doi:10.1038/psp.2013.10; advance online publication 20 March 2013.

Identifiers

PMID23887647
PMCPMC3615532

What OpenQuestion holds

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Registered trials

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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.