Evidence map›Paper›PMID 30192161›Full record

ArticleEnvironmental health perspectives2018

Evaluation and Optimization of Pharmacokinetic Models for

Warren M Casey, Xiaoqing Chang, David G Allen, Patricia C Ceger, Neepa Y Choksi, Jui-Hua Hsieh, Barbara A Wetmore, Stephen S Ferguson, Michael J DeVito, Catherine S Sprankle and 1 more

Open access · diamondAbstract read
In one paragraph

Article in Environmental health perspectives, 2018. 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
3.6field-weighted citation impact, top 7% 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

25 citing papers in PubMed, 42 citations in OpenAlex.

  1. Article
  2. Application ofFrontiers in toxicology · 2026
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  6. Advancing Toxicity Predictions: A Review onEnvironment & health (Washington, D.C.) · 2024
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  11. Review
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  15. Review
  16. Article
  17. Article
  18. High-throughput PBTK models forExpert opinion on drug metabolism & toxicology · 2021
    Review
  19. Predictive modeling of biological responses in the rat liver usingComputational toxicology (Amsterdam, Netherlands) · 2021
    Article
  20. An integrated chemical environment with tools for chemical safety testing.Toxicology in vitro : an international journal published in association with BIBRA · 2020
    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

11 authors at 4 institutions in 1 country.

Warren M CaseyNational Toxicology Program Division, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, North Carolina, USA.
Xiaoqing ChangIntegrated Laboratory Systems, Inc., Morrisville, North Carolina, USA.
David G AllenIntegrated Laboratory Systems, Inc., Morrisville, North Carolina, USA.
Patricia C CegerIntegrated Laboratory Systems, Inc., Morrisville, North Carolina, USA.
Neepa Y ChoksiIntegrated Laboratory Systems, Inc., Morrisville, North Carolina, USA.
Jui-Hua HsiehKelly Government Solutions, Research Triangle Park, North Carolina, USA.
Barbara A WetmoreScitoVation, Research Triangle Park, North Carolina, USA.
Stephen S FergusonNational Toxicology Program Division, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, North Carolina, USA.
Michael J DeVitoNational Toxicology Program Division, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, North Carolina, USA.
Catherine S SprankleIntegrated Laboratory Systems, Inc., Morrisville, North Carolina, USA.
Nicole C KleinstreuerNational Toxicology Program Division, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, North Carolina, USA.
Integrated Laboratory Systems, Inc. · USNational Institutes of Health · USKelly Services (United States) · USResearch Triangle Park Foundation · US

Funding

NIEHS NIH HHS HHSN273201500010C
6 · The paper itself

Abstract

backgroundTo effectively incorporate

objectiveOur goal was to evaluate and optimize

methodsWe evaluated three pharmacokinetic (PK) models with varying complexities to extrapolate

resultsWe found little difference in model predictive performance based on complexity or route-specific modifications. Simple adjustments, applied to account for

conclusionComputational IVIVE approaches accurately estimate chemical exposure levels that elicit positive responses in the rodent uterotrophic bioassay. The simplest model had the best overall performance for predicting both oral (PPK_EF) and injection (PPK_[Formula: see text]) LELs from guideline uterotrophic studies, is freely available, and can be parameterized entirely using freely available

Indexed as

Models, BiologicalPharmacokineticsEndocrine DisruptorsEnvironmental PollutantsHigh-Throughput Screening AssaysHumansIn Vitro TechniquesEndocrine DisruptorsEnvironmental Pollutants

Identifiers

PMID30192161
PMCPMC6375436
OpenAlexW2890392630

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.