Evidence map›Paper›PMID 29302838›Full record

ArticleJournal of pharmacokinetics and pharmacodynamics2018

gPKPDSim: a SimBiology

Iraj Hosseini, Anita Gajjala, Daniela Bumbaca Yadav, Siddharth Sukumaran, Saroja Ramanujan, Ricardo Paxson, Kapil Gadkar

Open access · hybridAbstract read
In one paragraph

Article in Journal of pharmacokinetics and pharmacodynamics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.4field-weighted citation impact, top 6% 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

18 citing papers in PubMed, 32 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Model-informed drug discovery and development approaches to inform clinical trial design and regulatory decisions: A primer for the MENA region.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2024
    Review
  7. Towards a comprehensive assessment of QSP models: what would it take?Journal of pharmacokinetics and pharmacodynamics · 2024
    Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Non-compartmental data analysis using SimBiology and MATLAB.Translational and clinical pharmacology · 2019
    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

7 authors at 2 institutions in 2 countries.

Iraj HosseiniGenentech Inc., South San Francisco, CA, USA. hosseini.iraj@gene.com.ORCID 0000-0001-6838-773X
Anita GajjalaMathWorks Inc., Consulting Services, Natick, MA, USA.
Daniela Bumbaca YadavGenentech Inc., South San Francisco, CA, USA.
Siddharth SukumaranGenentech Inc., South San Francisco, CA, USA.
Saroja RamanujanGenentech Inc., South San Francisco, CA, USA.
Ricardo PaxsonMathWorks Inc., Natick, MA, USA.
Kapil GadkarGenentech Inc., South San Francisco, CA, USA.
MathWorks (United States) · USGene Therapy Laboratory · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Modeling and simulation (M&S) is increasingly used in drug development to characterize pharmacokinetic-pharmacodynamic (PKPD) relationships and support various efforts such as target feasibility assessment, molecule selection, human PK projection, and preclinical and clinical dose and schedule determination. While model development typically require mathematical modeling expertise, model exploration and simulations could in many cases be performed by scientists in various disciplines to support the design, analysis and interpretation of experimental studies. To this end, we have developed a versatile graphical user interface (GUI) application to enable easy use of any model constructed in SimBiology

Indexed as

Computer SimulationDrug DevelopmentHumansModels, BiologicalPharmaceutical PreparationsSoftwarePharmaceutical PreparationsGraphical-user-interfaceModeling and simulationNon-compartmental analysisPharmacokinetics and pharmacodynamics models

Identifiers

PMID29302838
PMCPMC5845055
OpenAlexW2781867441

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.