Evidence map›Paper›PMID 39035470›Full record

ArticleGates open research2023

Demystifying physiologically based pharmacokinetic modelling among non-modelers towards model-informed medicine use in under-served populations.

Jolien Freriksen, Joyce van der Heijden, Marika de Hoop-Sommen, Trevor Johnson, Karen R Yeo, Essam Kerwash, Susan Cole, Janet Nooney, Rick Greupink, Ping Zhao and 1 more

Abstract read
In one paragraph

Article in Gates open research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Jolien FreriksenRadboud University, Nijmegen, Gelderland, The Netherlands.
Joyce van der HeijdenRadboud University, Nijmegen, Gelderland, The Netherlands.
Marika de Hoop-SommenRadboud University, Nijmegen, Gelderland, The Netherlands.
Trevor JohnsonCertara UK Limited, Sheffield, UK.
Karen R YeoCertara UK Limited, Sheffield, UK.
Essam KerwashMedicines and Healthcare Products Regulatory Agency, London, UK.ORCID 0000-0003-4368-8565
Susan ColeMedicines and Healthcare Products Regulatory Agency, London, UK.
Janet NooneyCertara UK Limited, Sheffield, UK.
Rick GreupinkRadboud University, Nijmegen, Gelderland, The Netherlands.
Ping ZhaoBill & Melinda Gates Foundation, Seattle, Washington, USA.ORCID 0009-0009-6335-3464
Saskia de WildtRadboud University, Nijmegen, Gelderland, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Physiologically based pharmacokinetic (PBPK) models represent computational technology to characterize drug behavior within the context of detailed human physiology. Today, PBPK is routinely used in drug development and regulatory approval to support decisions on how a medicine can be used under certain clinical conditions. As such, PBPK has the potential to enhance medicine use for populations that are often under-served globally in drug development and clinical care, namely pediatric patients, pregnant and lactating women. To facilitate broader applications of PBPK for these populations, we joined force and organized five hands-on workshops primarily to non-modelers on the principles of PBPK and its potential applications in pediatric and obstetric pharmacology in 2021 and 2022. In this open letter, we report learning objectives and content of such workshops and to highlight the significant value of these educational efforts.

Indexed as

Models, BiologicalChildDrug DevelopmentFemaleHumansLactationPharmacokineticsPregnancyDosingModel-informed Drug DevelopmentPediatricsPharmacokineticsPregnancyUnder-served Populations

Identifiers

PMID39035470
PMCPMC11259592

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.