Evidence map›Paper›PMID 35174656›Full record

ArticleCPT: pharmacometrics & systems pharmacology2022

Increasing application of pediatric physiologically based pharmacokinetic models across academic and industry organizations.

Trevor N Johnson, Ben G Small, Karen Rowland Yeo

Abstract read
In one paragraph

Article in CPT: pharmacometrics & systems pharmacology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
–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

32 citing papers in PubMed.

  1. Strategies for pediatric dose derivation from population pharmacokinetic models.Journal of pharmacokinetics and pharmacodynamics · 2026
    Article
  2. Review
  3. Best Practices in Physiologically Based Pharmacokinetic (PBPK) Modeling.CPT: pharmacometrics & systems pharmacology · 2026
    Review
  4. Article
  5. Review
  6. Review
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  15. Age-Dependent Changes in Cytochrome P450 Abundance and Composition in Human Liver.Drug metabolism and disposition: the biological fate of chemicals · 2024
    Article
  16. Review
  17. Article
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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

3 authors.

Trevor N JohnsonCertara UK Limited (Simcyp Division), Sheffield, UK.ORCID 0000-0003-0778-0081
Ben G SmallCertara UK Limited (Simcyp Division), Sheffield, UK.ORCID 0000-0002-4387-5689
Karen Rowland YeoCertara UK Limited (Simcyp Division), Sheffield, UK.ORCID 0000-0002-7020-1970

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There has been a significant increase in the use of physiologically based pharmacokinetic (PBPK) models during the past 20 years, especially for pediatrics. The aim of this study was to give a detailed overview of the growth and areas of application of pediatric PBPK (P-PBPK) models. A total of 181 publications and publicly available regulatory reviews were identified and categorized according to year, author affiliation, platform, and primary application of the P-PBPK model (in clinical settings, drug development or to advance pediatric model development in general). Secondary application areas, including dose selection, biologics, and drug interactions, were also assessed. The growth rate for P-PBPK modeling increased 33-fold between 2005 and 2020; this was mainly attributed to growth in clinical and drug development applications. For primary applications, 50% of articles were classified under clinical, 18% under drug development, and 33% under model development. The most common secondary applications were dose selection (75% drug development), pharmacokinetic prediction and covariate identification (47% clinical), and model parameter identification (68% model development), respectively. Although population PK modeling remains the mainstay of approaches supporting pediatric drug development, the data presented here demonstrate the widespread application of P-PBPK models in both drug development and clinical settings. Although applications for pharmacokinetic and drug-drug interaction predictions in pediatrics is advocated, this approach remains underused in areas such as assessment of pediatric formulations, toxicology, and trial design. The increasing number of publications supporting the development and refinement of the pediatric model parameters can only serve to enhance optimal use of P-PBPK models.

Indexed as

Models, BiologicalPediatricsChildComputer SimulationDrug DevelopmentDrug InteractionsHumans

Identifiers

PMID35174656
PMCPMC8923731

What Socratic holds

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LicenceCC BY-NC
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Registered trials

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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 Socratic graph.