Evidence map›Paper›PMID 42527699›Full record

ArticleJournal of pharmacokinetics and pharmacodynamics2026

Strategies for pediatric dose derivation from population pharmacokinetic models.

Andreas Krause, Géraldine Cellière

Abstract read
In one paragraph

Article in Journal of pharmacokinetics and pharmacodynamics, 2026. 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

2 authors.

Andreas KrauseClinical Pharmacology and Pharmacometrics, Simulations Plus, Inc, PO Box 12317, Research Triangle Park, NC, 27709, USA.ORCID http://orcid.org/0000-0002-4686-976X
Géraldine CellièreClinical Pharmacology and Pharmacometrics, Simulations Plus, Inc, PO Box 12317, Research Triangle Park, NC, 27709, USA. geraldine.celliere@simulations-plus.com.ORCID http://orcid.org/0009-0009-6904-5569

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Health authorities worldwide require clinical studies in children to ensure scientifically rigorous and consistent dosing. Before pediatric data are available, model-based methods provide a scientific and reproducible way to determine doses for pediatric studies. A general introduction to pediatric scaling is provided, followed by a focus on population pharmacokinetic methods to scale from adults to children using exposure matching. Exposure matching involves two steps: first, optimal pediatric doses are derived using a fine grid of body sizes and doses; second, feasible doses are selected based on availability of dose strengths. Three strategies are employed and compared, best fit (similar exposure in adults and children across ages and body sizes), conservative (children's exposure not exceeding adults'), and progressive (children's exposure not less than adults'). Each recommendation is evaluated against the exposure metrics C

Indexed as

Models, BiologicalPharmacokineticsAdultAge FactorsArea Under CurveBody SizeChildChild, PreschoolComputer SimulationDose-Response Relationship, DrugHumansPharmaceutical PreparationsPharmaceutical PreparationsExposure matchingOptimum dosePediatric dosingPediatric scalingPopulation pharmacokinetics

Identifiers

PMID42527699
PMCPMC13421238

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.