Evidence map›Paper›PMID 29385573›Full record

ReviewToxicological sciences : an official journal of the Society of Toxicology2018

Challenges Associated With Applying Physiologically Based Pharmacokinetic Modeling for Public Health Decision-Making.

Yu-Mei Tan, Rachel R Worley, Jeremy A Leonard, Jeffrey W Fisher

Erratum issuedAbstract readReview
In one paragraph

Review in Toxicological sciences : an official journal of the Society of Toxicology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 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

29 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Best Practices in Physiologically Based Pharmacokinetic (PBPK) Modeling.CPT: pharmacometrics & systems pharmacology · 2026
    Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Machine Learning and Artificial Intelligence in Toxicological Sciences.Toxicological sciences : an official journal of the Society of Toxicology · 2022
    Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. High-throughput PBTK models forExpert opinion on drug metabolism & toxicology · 2021
    Review
  19. Review
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Yu-Mei TanNational Exposure Research Laboratory, United States Environmental Protection Agency, Research Triangle Park, North Carolina 27709.
Rachel R WorleyAgency for Toxic Substances and Disease Registry, Atlanta, Georgia 30341.
Jeremy A LeonardOak Ridge Institute for Science and Education, Oak Ridge, Tennessee 37830.
Jeffrey W FisherNational Center for Toxicological Research, United States Food and Drug Administration, Jefferson, Arizona 72079.

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

The development and application of physiologically based pharmacokinetic (PBPK) models in chemical toxicology have grown steadily since their emergence in the 1980s. However, critical evaluation of PBPK models to support public health decision-making across federal agencies has thus far occurred for only a few environmental chemicals. In order to encourage decision-makers to embrace the critical role of PBPK modeling in risk assessment, several important challenges require immediate attention from the modeling community. The objective of this contemporary review is to highlight 3 of these challenges, including: (1) difficulties in recruiting peer reviewers with appropriate modeling expertise and experience; (2) lack of confidence in PBPK models for which no tissue/plasma concentration data exist for model evaluation; and (3) lack of transferability across modeling platforms. Several recommendations for addressing these 3 issues are provided to initiate dialog among members of the PBPK modeling community, as these issues must be overcome for the field of PBPK modeling to advance and for PBPK models to be more routinely applied in support of public health decision-making.

Indexed as

Decision MakingModels, BiologicalPharmacokineticsPublic HealthDecision Support TechniquesGovernment AgenciesHumansToxicokineticsToxicologyUnited States

Identifiers

PMID29385573
PMCPMC6084449

What OpenQuestion holds

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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.