Evidence map›Paper›PMID 27373670›Full record

Trial reportEuropean journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences2016

Pharmacokinetic models of morphine and its metabolites in neonates:: Systematic comparisons of models from the literature, and development of a new meta-model.

Katrine Rørbæk Knøsgaard, David John Richard Foster, Mads Kreilgaard, Eva Sverrisdóttir, Richard Neil Upton, Johannes N van den Anker

Open access · greenAbstract readClinical TrialComparative Study
In one paragraph

Trial report in European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
5.9field-weighted citation impact, top 5% 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

16 citing papers in PubMed, 34 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

6 authors at 3 institutions in 5 countries.

Katrine Rørbæk KnøsgaardDepartment of Drug Design and Pharmacology, Faculty of Health Sciences, University of Copenhagen, Universitetsparken 2, DK-2100 Copenhagen, Denmark.
David John Richard FosterAustralian Centre for Pharmacometrics and Sansom Institute, School of Pharmaceutical and Medical Sciences, City East Campus, North Terrace, University of South Australia, Adelaide, SA 5000, Australia.
Mads KreilgaardDepartment of Drug Design and Pharmacology, Faculty of Health Sciences, University of Copenhagen, Universitetsparken 2, DK-2100 Copenhagen, Denmark.
Eva SverrisdóttirDepartment of Drug Design and Pharmacology, Faculty of Health Sciences, University of Copenhagen, Universitetsparken 2, DK-2100 Copenhagen, Denmark.
Richard Neil UptonAustralian Centre for Pharmacometrics and Sansom Institute, School of Pharmaceutical and Medical Sciences, City East Campus, North Terrace, University of South Australia, Adelaide, SA 5000, Australia. Electronic address: richard.upton@unisa.edu.au.
Johannes N van den AnkerDivision of Clinical Pharmacology, Children's National Health System, Washington, DC, USA; Division of Paediatric Pharmacology and Pharmacometrics, University Children's Hospital Basel, Switzerland; Intensive Care and Department of Pediatric Surgery, Erasmus Medical Center-Sophia Children's Hospital, Rotterdam, The Netherlands.
University of Copenhagen · DKUniversity of South Australia · AUUniversity Children’s Hospital Basel · CH

Funding

Optimizing the Use of Morphine in Preterm InfantsR01HD048689 · NICHD · CHILDREN'S NATIONAL MEDICAL CENTER · PI VAN DEN ANKER, JOHANNES NICOLAAS · 2005 to 2009
$1.5M
NICHD NIH HHS R01 HD048689
6 · The paper itself

Abstract

Morphine is commonly used for pain management in preterm neonates. The aims of this study were to compare published models of neonatal pharmacokinetics of morphine and its metabolites with a new dataset, and to combine the characteristics of the best predictive models to design a meta-model for morphine and its metabolites in preterm neonates. Moreover, the concentration-analgesia relationship for morphine in this clinical setting was also investigated. A population of 30 preterm neonates (gestational age: 23-32weeks) received a loading dose of morphine (50-100μg/kg), followed by a continuous infusion (5-10μg/kg/h) until analgesia was no longer required. Pain was assessed using the Premature Infant Pain Profile. Five published population models were compared using numerical and graphical tests of goodness-of-fit and predictive performance. Population modelling was conducted using NONMEM® and the $PRIOR subroutine to describe the time-course of plasma concentrations of morphine, morphine-3-glucuronide, and morphine-6-glucuronide, and the concentration-analgesia relationship for morphine. No published model adequately described morphine concentrations in this new dataset. Previously published population pharmacokinetic models of morphine, morphine-3-glucuronide, and morphine-6-glucuronide were combined into a meta-model. The meta-model provided an adequate description of the time-course of morphine and the concentrations of its metabolites in preterm neonates. Allometric weight scaling was applied to all clearance and volume terms. Maturation of morphine clearance was described as a function of postmenstrual age, while maturation of metabolite elimination was described as a function of postnatal age. A clear relationship between morphine concentrations and pain score was not established.

Indexed as

Models, BiologicalAnalgesics, OpioidFemaleHumansInfant, NewbornInfant, PrematureMaleMorphinePainAnalgesics, OpioidMorphineModellingMorphineMorphine-6-glucuronidePharmacokinetics/pharmacodynamicsPreterm neonatesSystematic model comparison

Identifiers

PMID27373670
PMCPMC4984529
OpenAlexW2461643509

What OpenQuestion holds

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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.