Evidence map›Paper›PMID 41255069›Full record

ReviewCPT: pharmacometrics & systems pharmacology2026

Physiologically-Based Pharmacokinetic Modeling to Support Pediatric Clinical Development: An IQ Working Group Perspective on the Current Status and Challenges.

James W T Yates, Michael Zientek, Kunal S Taskar, Wen Lin, Tycho Heimbach, Stefan Willmann, Jessica Rehmel, Neil Parrott, Michael Hanley, Justine Badee and 17 more

Abstract readReview
In one paragraph

Review in CPT: pharmacometrics & systems pharmacology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Strategies for pediatric dose derivation from population pharmacokinetic models.Journal of pharmacokinetics and pharmacodynamics · 2026
    Article
  4. Review
  5. Article
  6. Review
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

27 authors.

James W T YatesDMPK, Preclinical Sciences, GSK, Stevenage, UK.ORCID https://orcid.org/0000-0003-0433-5900
Michael ZientekTakeda Development Center Americas, Cambridge, Massachusetts, USA.
Kunal S TaskarDMPK, Preclinical Sciences, GSK, Stevenage, UK.ORCID https://orcid.org/0000-0001-9979-8267
Wen LinOffice of Clinical Pharmacology, Center for Drug Evaluation and Research, U.S. FDA, Silver Spring, Maryland, USA.
Tycho HeimbachPharmaceutical Sciences and Clinical Supply, Merck & co., Inc., Rahway, New Jersey, USA.ORCID https://orcid.org/0000-0003-1224-0629
Stefan WillmannBayer AG, Research & Development Pharmaceuticals, Pharmacometrics/Modeling & Simulation, Wuppertal, Germany.ORCID https://orcid.org/0000-0001-8322-965X
Jessica RehmelGlobal Pharmacokinetics, Pharmacodynamics, and Pharmacometrics, Eli Lilly and Company, Indianapolis, Indiana, USA.ORCID https://orcid.org/0009-0001-5049-1018
Neil ParrottPharmaceutical Sciences, Roche Pharma Research and Early Development, Roche Innovation Center Basel, Basel, Switzerland.ORCID https://orcid.org/0000-0001-6821-7714
Michael HanleyTakeda Development Center Americas, Cambridge, Massachusetts, USA.
Justine BadeePK Sciences, Biomedical Research. Novartis, Basel, Switzerland.
Yuan ChenDrug Metabolism and Pharmacokinetics, Genentech, Inc, South San Francisco, California, USA.ORCID https://orcid.org/0000-0002-5106-0658
Susan ColeMedicines & Healthcare Products Regulatory Agency, London, UK.
Loeckie De ZwartJanssen Pharmaceutica NV, a Johnson & Johnson Company, Beerse, Belgium.ORCID https://orcid.org/0009-0004-2285-8830
Sebastian HaertterClinical Pharmacology, Boehringer Ingelheim Pharma, Ingelheim, Germany.ORCID https://orcid.org/0000-0003-3569-5626
Rongrong JiangDrug Metabolism and Pharmacokinetics, Eisai Inc., Cambridge, Massachusetts, USA.
Masakatsu KotsumaQuantitative Clinical Pharmacology, Daiichi Sankyo co., Ltd., Tokyo, Japan.
Guiqing LiangDrug Metabolism and Pharmacokinetics, Vertex Pharmaceuticals, Inc., Boston, Massachusetts, USA.
Yu-Wei LinInfection Program and Department of Microbiology, Monash Biomedicine Discovery Institute, Monash University, Clayton, Victoria, Australia.
Jing LiuClinical Pharmacology, Pfizer Inc., Groton, Connecticut, USA.
Ying OuClinical Pharmacology, Beigene, USA.
Juliane RascherClinical Pharmacology, Boehringer Ingelheim Pharma, Ingelheim, Germany.
Naveed A ShaikQuantitative Pharmacology and Pharmacometrics (QP2), Merck & Co, San Francisco, California, USA.
Jan WahlstromPharmacokinetics and Drug Metabolism, Amgen, Inc., Thousand Oaks, California, USA.ORCID https://orcid.org/0000-0002-9434-1302
Xiaofeng WangRelay Therapeutics Cambridge, Cambridge, Massachusetts, USA.
Guangqing XiaoDMPK, Revolution Medicines, Redwood City, California, USA.
Ka Lai YeeQuantitative Pharmacology and Pharmacometrics, Merck & co, Inc., Rahway, New Jersey, USA.
S Y Amy CheungQuantitative Science, Drug Development Solutions, Certara, Radnor, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pediatric extrapolation strategies issued by health authorities have streamlined pediatric drug development and reduced the unnecessary burden of conducting pediatric clinical studies. In line with these strategies, physiologically based pharmacokinetic (PBPK) models have been utilized extensively for initial dosing regimen and sampling timepoint selection for pediatric studies, as well as dose validation throughout pediatric drug development. Here, the status and challenges of PBPK modeling in pediatric drug development have been summarized by the IQ Pediatric PBPK Working Group. Our work reviews current practices for pediatric PBPK modeling across various therapeutic areas. To enable best practice, we propose an optimized workflow for pediatric PBPK modeling recommendations. Two selected key pediatric PBPK case examples are also described, where modeling impacted the drug label extension to pediatric patients. Moreover, we analyze the current gaps and challenges in our understanding of drug absorption, distribution, metabolism, and elimination in pediatric PBPK model development. Since neonates are the least studied and the most medically fragile, the depth of our understanding of their rapidly evolving physiological processes is limited and so there exist significant modeling gaps which we summarize here. Finally, we provide recommendations, including building a public data repository, leveraging real-world data, and implementing microdose studies for addressing pediatric PBPK modeling challenges.

Indexed as

Drug DevelopmentModels, BiologicalPharmacokineticsChildHumansInfant, NewbornPediatrics

Identifiers

PMID41255069
PMCPMC12823307

What OpenQuestion holds

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LicenceCC BY-NC
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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.