Evidence map›Paper›PMID 38618871›Full record

ReviewClinical and translational science2024

Sources of pharmacokinetic and pharmacodynamic variability and clinical pharmacology studies of antiseizure medications in the pediatric population.

Patricia D Maglalang, Jiali Wen, Christoph P Hornik, Daniel Gonzalez

Open access · goldAbstract readReview
In one paragraph

Review in Clinical and translational science, 2024. 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
3.5field-weighted citation impact, top 7% of its field
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, 9 citations in OpenAlex.

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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

4 authors at 2 institutions in 1 country.

Patricia D MaglalangDivision of Pharmacotherapy and Experimental Therapeutics, UNC Eshelman School of Pharmacy, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.ORCID 0000-0003-1628-7408
Jiali WenDivision of Pharmacotherapy and Experimental Therapeutics, UNC Eshelman School of Pharmacy, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.ORCID 0000-0002-9173-9665
Christoph P HornikDuke Clinical Research Institute, Durham, North Carolina, USA.ORCID 0000-0001-7056-8759
Daniel GonzalezDuke Clinical Research Institute, Durham, North Carolina, USA.ORCID 0000-0001-5522-5686
Duke University · USUniversity of North Carolina at Chapel Hill · US

Funding

Application of Physiologically-Based Pharmacokinetic Modeling to Characterize Drug-Drug Interactions in InfantsR01HD102949 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Daniel Gonzalez · 2021 to 2026
$3.0M
Physiologically-Based Pharmacokinetic Modeling to Guide Drug Dosing in Children with ObesityR01HD096435 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DUMOND, JULIE BRUMER · 2018 to 2022
$2.0M
Duke-UNC Collaborative Pediatric Clinical Pharmacology Postdoctoral Training ProgramT32HD104576 · NICHD · DUKE UNIVERSITY · PI BROUWER, KIM L.R., GONZALEZ, DANIEL · 2021 to 2025
$962k
Mentoring in Clinical Pharmacology and Early Phase TrialsK24AI143971 · NIAID · DUKE UNIVERSITY · PI COHEN-WOLKOWIEZ, MICHAEL · 2019 to 2023
$895k
NIAID NIH HHS K24 AI143971NICHD NIH HHS R01 HD096435NICHD NIH HHS R01 HD102949NICHD NIH HHS T32 HD104576
6 · The paper itself

Abstract

Multiple treatment options exist for children with epilepsy, including surgery, dietary therapies, neurostimulation, and antiseizure medications (ASMs). ASMs are the first line of therapy, and more than 30 ASMs have U.S. Food and Drug Administration (FDA) approval for the treatment of various epilepsy and seizure types in children. Given the extensive FDA approval of ASMs in children, it is crucial to consider how the physiological and developmental changes throughout childhood may impact drug disposition. Various sources of pharmacokinetic (PK) variability from different extrinsic and intrinsic factors such as patients' size, age, drug-drug interactions, and drug formulation could result in suboptimal dosing of ASMs. Barriers exist to conducting clinical pharmacological studies in neonates, infants, and children due to ethical and practical reasons, limiting available data to fully characterize these drugs' disposition and better elucidate sources of PK variability. Modeling and simulation offer ways to circumvent traditional and intensive clinical pharmacology methods to address gaps in epilepsy and seizure management in children. This review discusses various physiological and developmental changes that influence the PK and pharmacodynamic (PD) variability of ASMs in children, and several key ASMs will be discussed in detail. We will also review novel trial designs in younger pediatric populations, highlight the role of extrapolation of efficacy in epilepsy, and the use of physiologically based PK modeling as a tool to investigate sources of PK/PD variability in children. Finally, we will conclude with current challenges and future directions for optimizing the efficacy and safety of these drugs across the pediatric age spectrum.

Indexed as

EpilepsyPharmacology, ClinicalChildComputer SimulationHumansInfantInfant, NewbornResearchSeizuresUnited States

Identifiers

PMID38618871
PMCPMC11017206
OpenAlexW4394820236

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.