ReviewJournal of exposure science & environmental epidemiology2019
Advancing internal exposure and physiologically-based toxicokinetic modeling for 21st-century risk assessments.
Review in Journal of exposure science & environmental epidemiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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.
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.
Who cites it
25 citing papers in PubMed.
- Review on Predictive Models and Integration Strategies for Holistic Impact Assessment of Chemicals and Materials.Environmental science & technology · 2026Review
- The promise and challenges of exposomics in child health research.Pediatric research · 2025Review
- Automated QA/QC reporting for non-targeted analysis: a demonstration of "INTERPRET NTA" with de facto water reuse data.Analytical and bioanalytical chemistry · 2025Article
- Assessing the Application of Physiologically Based Pharmacokinetic Models in Acute Chemical Incidents.Journal of xenobiotics · 2025Article
- Biomonitoring Xenobiotics in Human Biospecimens: Challenges, Advances, and the Future of Exposome Characterization.Reviews of environmental contamination and toxicology · 2025Article
- Article
- Article
- Advancing Toxicity Predictions: A Review onEnvironment & health (Washington, D.C.) · 2024Review
- A Predictive Toxicokinetic Model for Nickel Leaching from Vascular Stents.ACS biomaterials science & engineering · 2024Article
- Big Question to Developing Solutions: A Decade of Progress in the Development of Aquatic New Approach Methodologies from 2012 to 2022.Environmental toxicology and chemistry · 2024Article
- A physiologically based pharmacokinetic model to optimize the dosage regimen and withdrawal time of cefquinome in pigs.PLoS computational biology · 2023Article
- New Approach Methodologies for the Endocrine Activity Toolbox: Environmental Assessment for Fish and Amphibians.Environmental toxicology and chemistry · 2023Review
- Towards best use and regulatory acceptance of generic physiologically based kinetic (PBK) models for in vitro-to-in vivo extrapolation (IVIVE) in chemical risk assessment.Archives of toxicology · 2022Article
- Quantitative in vitro to in vivo extrapolation for developmental toxicity potency of valproic acid analogues.Birth defects research · 2022Article
- Evaluation of a rapid, generic human gestational dose model.Reproductive toxicology (Elmsford, N.Y.) · 2022Article
- Advances in computational methods along the exposure to toxicological response paradigm.Toxicology and applied pharmacology · 2022Article
- Nanosafety: An Evolving Concept to Bring the Safest Possible Nanomaterials to Society and Environment.Nanomaterials (Basel, Switzerland) · 2022Review
- IVIVE: Facilitating the Use ofToxics · 2022Review
- Application of an Accessible Interface for Pharmacokinetic Modeling andFrontiers in pharmacology · 2022Article
- High-throughput PBTK models forExpert opinion on drug metabolism & toxicology · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Scientifically sound, risk-informed evaluation of chemicals is essential to protecting public health. Systematically leveraging information from exposure, toxicology, and epidemiology studies can provide a holistic understanding of how real-world exposure to chemicals may impact the health of populations, including sensitive and vulnerable individuals and life-stages. Increasingly, public health policy makers are employing toxicokinetic (TK) modeling tools to integrate these data streams and predict potential human health impact. Development of a suite of tools for predicting internal exposure, including physiologically-based toxicokinetic (PBTK) models, is being driven by needs to address large numbers of data-poor chemicals efficiently, translate bioactivity, and mechanistic information from new in vitro test systems, and integrate multiple lines of evidence to enable scientifically sound, risk-informed decisions. New modeling approaches are being designed "fit for purpose" to inform specific decision contexts, with applications ranging from rapid screening of hundreds of chemicals, to improved prediction of risks during sensitive stages of development. New data are being generated experimentally and computationally to support these models. Progress to meet the demand for internal exposure and PBTK modeling tools will require transparent publication of models and data to build credibility in results, as well as opportunities to partner with decision makers to evaluate and build confidence in use of these for improved decisions that promote safe use of chemicals.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.