ArticleClinical pharmacokinetics2018
Fetal Physiologically-Based Pharmacokinetic Models: Systems Information on Fetal Biometry and Gross Composition.
Article in Clinical pharmacokinetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.
What it found
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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
22 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.
- Fetal Physiologically Based Pharmacokinetic Models: Systems Information on the Growth and Composition of Fetal Organs.Clinical pharmacokinetics · 2019Pooled it
- Temporal External Validation of a Customized Fetal Body Mass Index Percentile Model for Neonatal Nutritional Status Assessment.Diagnostics (Basel, Switzerland) · 2026Article
- Utility of a physiologically-based pharmacokinetic model for investigating time-dependent variability in the fetal-to-maternal plasma concentration ratio of digoxin.Journal of pharmacokinetics and pharmacodynamics · 2026Article
- Comparison of physiologically based pharmacokinetic modeling platforms for developmental neurotoxicity in vitro to in vivo extrapolation.Toxicological sciences : an official journal of the Society of Toxicology · 2026Article
- Predicting Maternal and Fetal Exposures of Elexacaftor-Tezacaftor-Ivacaftor during Pregnancy through Physiologically Based Pharmacokinetic Models.Clinical pharmacology and therapeutics · 2025Article
- Customized Fetal Body Mass Index as a Better Predictive Marker for Neonatal Nutritional Status.Diagnostics (Basel, Switzerland) · 2025Article
- Application of a Physiologically Based Pharmacokinetic Approach to Predict Tenofovir Pharmacokinetics During Pregnancy.The AAPS journal · 2025Article
- Inhibition of Neural Crest Cell Migration by Strobilurin Fungicides and Other Mitochondrial Toxicants.Cells · 2024Article
- Advancing understanding of human variability through toxicokinetic modeling, in vitro-in vivo extrapolation, and new approach methodologies.Human genomics · 2024Review
- PBPK Modeling Approach to Predict the Behavior of Drugs Cleared by Metabolism in Pregnant Subjects and Fetuses.Pharmaceutics · 2024Article
- Predicting Human Fetal Drug Exposure Through Maternal-Fetal PBPK Modeling and In Vitro or Ex Vivo Studies.Journal of clinical pharmacology · 2022Review
- Opportunities and Challenges for PBPK Model of mAbs in Paediatrics and Pregnancy.The AAPS journal · 2022Review
- Prediction of Maternal and Fetal Acyclovir, Emtricitabine, Lamivudine, and Metformin Concentrations during Pregnancy Using a Physiologically Based Pharmacokinetic Modeling Approach.Clinical pharmacokinetics · 2022Article
- Application of a Physiologically Based Pharmacokinetic Approach to Predict Theophylline Pharmacokinetics Using Virtual Non-Pregnant, Pregnant, Fetal, Breast-Feeding, and Neonatal Populations.Frontiers in pediatrics · 2022Article
- PBPK Modeling Approach to Predict the Behavior of Drugs Cleared by Kidney in Pregnant Subjects and Fetus.The AAPS journal · 2021Article
- Fetal Physiologically Based Pharmacokinetic Models: Systems Information on Fetal Cardiac Output and Its Distribution to Different Organs during Development.Clinical pharmacokinetics · 2021Review
- Maternal-Fetal Pharmacology of Drugs: A Review of Current Status of the Application of Physiologically Based Pharmacokinetic Models.Frontiers in pediatrics · 2021Review
- Drug dosing during pregnancy-opportunities for physiologically based pharmacokinetic models.Journal of pharmacokinetics and pharmacodynamics · 2020Review
- Fetal Physiologically Based Pharmacokinetic Models: Systems Information on Fetal Blood Components and Binding Proteins.Clinical pharmacokinetics · 2020Review
- A Preterm Physiologically Based Pharmacokinetic Model. Part I: Physiological Parameters and Model Building.Clinical pharmacokinetics · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPostulating fetal exposure to xenobiotics has been based on animal studies; however, inter-species differences can make this problematic. Physiologically-based pharmacokinetic models may capture the rapid changes in anatomical, biochemical, and physiological parameters during fetal growth over the duration of pregnancy and help with interpreting laboratory animal data. However, these models require robust information on the longitudinal variations of system parameter values and their covariates.
objectiveThe objective of this study was to present an extensive analysis and integration of the available biometric data required for creating a virtual human fetal population by means of equations that define the changes of each parameter with gestational age.
methodsA comprehensive literature search was carried out on the parameters defining the growth of a fetus during in-utero life including weight, height, and body surface area in addition to other indices of fetal size, body fat, and water. Collated data were assessed and integrated through a meta-analysis to develop mathematical algorithms to describe growth with fetal age.
resultsData for the meta-analysis were obtained from 97 publications, of these, 15 were related to fetal height or length, 32 to fetal weight, 4 to fetal body surface area, 8 to crown length, 5 to abdominal circumference, 12 to head circumference, 14 to body fat, and 12 to body water. Various mathematical algorithms were needed to describe parameter values from the time of conception to birth.
conclusionThe collated data presented in this article enabled the development of mathematical functions to describe fetal biometry and provide a potentially useful resource for building anthropometric features of fetal physiologically-based pharmacokinetic models.
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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.