ArticleJournal of toxicology2012
Application of physiologically based pharmacokinetic models in chemical risk assessment.
Article in Journal of toxicology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 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
21 citing papers in PubMed.
- New approach methodologies for next-generation risk assessment of nanomaterials and nano-enabled products.Nano convergence · 2026Review
- Assessing the Application of Physiologically Based Pharmacokinetic Models in Acute Chemical Incidents.Journal of xenobiotics · 2025Article
- Review
- A model template approach for rapid evaluation and application of physiologically based pharmacokinetic models: extension to volatile organic compounds.Toxicological sciences : an official journal of the Society of Toxicology · 2023Article
- Predicting Hydroxychloroquine Clearance in Healthy and Diseased Populations Using a Physiologically Based Pharmacokinetic Approach.Pharmaceutics · 2023Article
- Health Risk Assessment in Children Occupationally and Para-Occupationally Exposed to Benzene Using a Reverse-Translation PBPK Model.International journal of environmental research and public health · 2023Article
- Airborne transmission of biological agents within the indoor built environment: a multidisciplinary review.Air quality, atmosphere, & health · 2023Review
- Are Non-animal Systemic Safety Assessments Protective? A Toolbox and Workflow.Toxicological sciences : an official journal of the Society of Toxicology · 2022Article
- Current status and future directions for a neurotoxicity hazard assessment framework that integratesComputational toxicology (Amsterdam, Netherlands) · 2022Article
- Occupational health risk assessment methods in China: A scoping review.Frontiers in public health · 2022Article
- Article
- A Model Template Approach for Rapid Evaluation and Application of Physiologically Based Pharmacokinetic Models for Use in Human Health Risk Assessments: A Case Study on Per- and Polyfluoroalkyl Substances.Toxicological sciences : an official journal of the Society of Toxicology · 2021Article
- Next generation physiologically based kinetic (NG-PBK) models in support of regulatory decision making.Computational toxicology (Amsterdam, Netherlands) · 2019Review
- Source reconstruction of airborne toxics based on acute health effects information.Scientific reports · 2018Article
- Challenges Associated With Applying Physiologically Based Pharmacokinetic Modeling for Public Health Decision-Making.Toxicological sciences : an official journal of the Society of Toxicology · 2018Review
- Risk assessment of occupational exposure to heavy metal mixtures: a study protocol.BMC public health · 2018Article
- High-throughput in-silico prediction of ionization equilibria for pharmacokinetic modeling.The Science of the total environment · 2018Article
- Development and validation of a physiology-based model for the prediction of pharmacokinetics/toxicokinetics in rabbits.PloS one · 2018Article
- Physiologically based pharmacokinetic toolkit to evaluate environmental exposures: Applications of the dioxin model to study real life exposures.Toxicology and applied pharmacology · 2017Article
- Computational pharmacokinetics/pharmacodynamics of rifampin in a mouse tuberculosis infection model.Journal of pharmacokinetics and pharmacodynamics · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Post-exposure risk assessment of chemical and environmental stressors is a public health challenge. Linking exposure to health outcomes is a 4-step process: exposure assessment, hazard identification, dose response assessment, and risk characterization. This process is increasingly adopting "in silico" tools such as physiologically based pharmacokinetic (PBPK) models to fine-tune exposure assessments and determine internal doses in target organs/tissues. Many excellent PBPK models have been developed. But most, because of their scientific sophistication, have found limited field application-health assessors rarely use them. Over the years, government agencies, stakeholders/partners, and the scientific community have attempted to use these models or their underlying principles in combination with other practical procedures. During the past two decades, through cooperative agreements and contracts at several research and higher education institutions, ATSDR funded translational research has encouraged the use of various types of models. Such collaborative efforts have led to the development and use of transparent and user-friendly models. The "human PBPK model toolkit" is one such project. While not necessarily state of the art, this toolkit is sufficiently accurate for screening purposes. Highlighted in this paper are some selected examples of environmental and occupational exposure assessments of chemicals and their mixtures.
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.