Evidence map›Paper›PMID 28815754›Full record

ArticleBritish journal of clinical pharmacology2018

Pharmacokinetic interactions and dosing rationale for antiepileptic drugs in adults and children.

Sven C van Dijkman, Willem M Rauwé, Meindert Danhof, Oscar Della Pasqua

Abstract read
In one paragraph

Article in British journal of clinical pharmacology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Trial
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  4. Association BetweenPharmaceuticals (Basel, Switzerland) · 2025
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  12. Persistent Hypersomnolence Following Clobazam in a Child With Epilepsy and Undiagnosed CYP2C19 Polymorphism.The journal of pediatric pharmacology and therapeutics : JPPT : the official journal of PPAG · 2020
    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

4 authors.

Sven C van DijkmanDivision of Pharmacology, Leiden Academic Centre for Drug Research, Leiden, The Netherlands.ORCID http://orcid.org/0000-0002-2799-7643
Willem M RauwéDivision of Pharmacology, Leiden Academic Centre for Drug Research, Leiden, The Netherlands.ORCID http://orcid.org/0000-0001-5984-2649
Meindert DanhofDivision of Pharmacology, Leiden Academic Centre for Drug Research, Leiden, The Netherlands.ORCID http://orcid.org/0000-0002-2319-6830
Oscar Della PasquaClinical Pharmacology Modelling & Simulation, GlaxoSmithKline, Stockley Park, UK.ORCID http://orcid.org/0000-0002-6211-1430

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsPopulation pharmacokinetic modelling has been widely used across many therapeutic areas to identify sources of variability, which are incorporated into models as covariate factors. Despite numerous publications on pharmacokinetic drug-drug interactions (DDIs) between antiepileptic drugs (AEDs), such data are not used to support the dose rationale for polytherapy in the treatment of epileptic seizures. Here we assess the impact of DDIs on plasma concentrations and evaluate the need for AED dose adjustment.

methodsModels describing the pharmacokinetics of carbamazepine, clobazam, clonazepam, lamotrigine, levetiracetam, oxcarbazepine, phenobarbital, phenytoin, topiramate, valproic acid and zonisamide in adult and paediatric patients were collected from the published literature and implemented in NONMEM v7.2. Taking current clinical practice into account, we explore simulation scenarios to characterize AED exposure in virtual patients receiving mono- and polytherapy. Steady-state, maximum and minimum concentrations were selected as parameters of interest for this analysis.

resultsOur simulations show that DDIs can cause major changes in AED concentrations both in adults and children. When more than one AED is used, even larger changes are observed in the concentrations of the primary drug, leading to significant differences in steady-state concentration between mono- and polytherapy for most AEDs. These results suggest that currently recommended dosing algorithms and titration procedures do not ensure attainment of appropriate therapeutic concentrations.

conclusionsThe effect of DDIs on AED exposure cannot be overlooked. Clinical guidelines must consider such covariate effects and ensure appropriate dosing recommendations for adult and paediatric patients who require combination therapy.

Indexed as

Dose-Response Relationship, DrugDrug InteractionsModels, BiologicalAdultAnticonvulsantsChildChild, PreschoolComputer SimulationDrug Therapy, CombinationEpilepsyFemaleHumansMaleMiddle AgedYoung AdultAnticonvulsantsdrug-drug interactionsepilepsymodelling and simulationspersonalized medicinepharmacokinetics

Identifiers

PMID28815754
PMCPMC5736836

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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 OpenQuestion graph.