Evidence map›Paper›PMID 34836462›Full record

SynthesisAlternatives to laboratory animals : ATLA2021

A Systematic Review of Published Physiologically-based Kinetic Models and an Assessment of their Chemical Space Coverage.

Courtney V Thompson, James W Firman, Michael R Goldsmith, Christopher M Grulke, Yu-Mei Tan, Alicia Paini, Peter E Penson, Risa R Sayre, Steven Webb, Judith C Madden

Abstract readSystematic Review
In one paragraph

Synthesis in Alternatives to laboratory animals : ATLA, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Making PBPK models more reproducible in practice.Briefings in bioinformatics · 2024
    Article
  8. Review
  9. Review
  10. Review
  11. Review
  12. Article
  13. The use of NAMs and omics data in risk assessment.EFSA journal. European Food Safety Authority · 2022
    Article
  14. 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

10 authors.

Courtney V ThompsonSchool of Pharmacy and Biomolecular Sciences, 4589Liverpool John Moores University, Liverpool, UK.ORCID https://orcid.org/0000-0003-2243-2974
James W FirmanSchool of Pharmacy and Biomolecular Sciences, 4589Liverpool John Moores University, Liverpool, UK.
Michael R GoldsmithOffice of Research and Development, Center for Computational Toxicology and Exposure, Chemical Characterization and Exposure Division, 427887US Environmental Protection Agency, Research Triangle Park, NC, USA.
Christopher M GrulkeOffice of Research and Development, Center for Computational Toxicology and Exposure, Chemical Characterization and Exposure Division, 427887US Environmental Protection Agency, Research Triangle Park, NC, USA.
Yu-Mei TanOffice of Pesticide Programs, Health Effects Division, 138030US Environmental Protection Agency, Research Triangle Park, NC, USA.
Alicia Paini99013European Commission Joint Research Centre (JRC), Ispra, Italy.
Peter E PensonSchool of Pharmacy and Biomolecular Sciences, 4589Liverpool John Moores University, Liverpool, UK.ORCID https://orcid.org/0000-0001-6763-1489
Risa R SayreOffice of Research and Development, Center for Computational Toxicology and Exposure, Chemical Characterization and Exposure Division, 427887US Environmental Protection Agency, Research Triangle Park, NC, USA.
Steven WebbSyngenta, Product Safety, Early Stage Research, 101825Jealott's Hill International Research Centre, Bracknell, UK.
Judith C MaddenSchool of Pharmacy and Biomolecular Sciences, 4589Liverpool John Moores University, Liverpool, UK.

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

Across multiple sectors, including food, cosmetics and pharmaceutical industries, there is a need to predict the potential effects of xenobiotics. These effects are determined by the intrinsic ability of the substance, or its derivatives, to interact with the biological system, and its concentration-time profile at the target site. Physiologically-based kinetic (PBK) models can predict organ-level concentration-time profiles, however, the models are time and resource intensive to generate

Indexed as

Models, BiologicalSoftwareAnimalsKineticsRisk AssessmentPBKPBPKPBTKpharmacokinetic modellingread-acrosssystematic review

Identifiers

PMID34836462
PMCPMC8764633

What OpenQuestion holds

Textmetadata
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.