Evidence map›Paper›PMID 31347013›Full record

ArticleClinical pharmacokinetics2020

Physiologically Based Pharmacokinetic Modeling to Characterize Acetaminophen Pharmacokinetics and N-Acetyl-p-Benzoquinone Imine (NAPQI) Formation in Non-Pregnant and Pregnant Women.

Paola Mian, John N van den Anker, Kristel van Calsteren, Pieter Annaert, Dick Tibboel, Marc Pfister, Karel Allegaert, André Dallmann

Open access · hybridAbstract readComparative Study
In one paragraph

Article in Clinical pharmacokinetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
3.2field-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

29 citing papers in PubMed, 1 synthesis or guideline pooled it, 61 citations in OpenAlex.

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  13. Evaluation of a rapid, generic human gestational dose model.Reproductive toxicology (Elmsford, N.Y.) · 2022
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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

8 authors at 6 institutions in 4 countries.

Paola MianPediatric Surgery and Intensive Care, Erasmus Medical Center, Sophia Children's Hospital, Rotterdam, The Netherlands. p.mian@erasmusmc.nl.ORCID 0000-0002-3551-1201
John N van den AnkerPediatric Surgery and Intensive Care, Erasmus Medical Center, Sophia Children's Hospital, Rotterdam, The Netherlands.
Kristel van CalsterenDepartment of Obstetrics and Gynecology, University Hospitals, Leuven, Belgium.
Pieter AnnaertDrug Delivery and Disposition, Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium.
Dick TibboelPediatric Surgery and Intensive Care, Erasmus Medical Center, Sophia Children's Hospital, Rotterdam, The Netherlands.
Marc PfisterPediatric Pharmacology and Pharmacometrics Research Center, University Children's Hospital Basel (UKBB), Basel, Switzerland.
Karel AllegaertPediatric Surgery and Intensive Care, Erasmus Medical Center, Sophia Children's Hospital, Rotterdam, The Netherlands.
André DallmannPediatric Pharmacology and Pharmacometrics Research Center, University Children's Hospital Basel (UKBB), Basel, Switzerland.
Erasmus MC - Sophia Children’s Hospital · NLKU Leuven · BECertara (United States) · USChildren's National · USErasmus MC · NLUniversity Children’s Hospital Basel · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectiveLittle is known about acetaminophen (paracetamol) pharmacokinetics during pregnancy. The aim of this study was to develop a physiologically based pharmacokinetic (PBPK) model to predict acetaminophen pharmacokinetics throughout pregnancy.

methodsPBPK models for acetaminophen and its metabolites were developed in non-pregnant and pregnant women. Physiological and enzymatic changes in pregnant women expected to impact acetaminophen pharmacokinetics were considered. Models were evaluated using goodness-of-fit plots and by comparing predicted pharmacokinetic profiles with in vivo pharmacokinetic data. Predictions were performed to illustrate the average concentration at steady state (C

resultsPBPK models successfully predicted the pharmacokinetics of acetaminophen and its metabolites in non-pregnant and pregnant women. Predictions resulted in the lowest C

conclusionAcetaminophen exposure is lower in pregnant than in non-pregnant women, and is related to pregnancy duration. Despite these findings, higher dose adjustments cannot be advised yet as it is unknown whether pregnancy affects the toxicodynamics of NAPQI. Information on glutathione abundance during pregnancy and NAPQI in vivo data are required to further refine the presented model.

Indexed as

AcetaminophenAdultAnalgesics, Non-NarcoticArylsulfotransferaseBenzoquinonesChemical and Drug Induced Liver InjuryComputer SimulationCytochrome P-450 CYP2E1FemaleGlucuronosyltransferaseGlutathioneHumansIminesPregnancyPregnancy Trimester, ThirdUGT1A1 EnzymeAcetaminophenAnalgesics, Non-NarcoticArylsulfotransferaseBenzoquinonesCytochrome P-450 CYP2E1GlucuronosyltransferaseGlutathioneIminesN-acetyl-4-benzoquinoneimineSULT1A1 protein, humanUGT1A1 Enzyme

Identifiers

PMID31347013
PMCPMC6994454
OpenAlexW2964042848

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.