Evidence mapPaperPMID 38488984Full record

ArticleClinical pharmacokinetics2024

Performance of Eight Infliximab Population Pharmacokinetic Models in a Cohort of Dutch Children with Inflammatory Bowel Disease.

Nanja C Bevers, Ron J Keizer, Dennis R Wong, Arta Aliu, Marieke J Pierik, Luc J J Derijks, Patrick F van Rheenen

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Article in Clinical pharmacokinetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.3field-weighted citation impact, top 9% 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

7 citing papers in PubMed, 6 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

7 authors at 4 institutions in 1 country.

Nanja C BeversDepartment of Paediatrics, Zuyderland Medical Center, Dr. H. van der Hoffplein 1, 6162 BG, Sittard-Geleen, The Netherlands. n.bevers@zuyderland.nl.ORCID 0000-0003-3646-5670
Ron J KeizerInsightRX, San Francisco, CA, USA.
Dennis R WongDepartment of Clinical Pharmacy, Pharmacology and Toxicology, Zuyderland Medical Center, Sittard-Geleen, The Netherlands.
Arta AliuDepartment of Gastroenterology-Hepatology and NUTRIM, School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Center, Maastricht, The Netherlands.
Marieke J PierikDepartment of Gastroenterology-Hepatology and NUTRIM, School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Center, Maastricht, The Netherlands.
Luc J J Derijks *Department of Clinical Pharmacy and Clinical Pharmacology, Máxima Medical Center, Veldhoven, The Netherlands.
Patrick F van Rheenen *Department of Paediatric Gastroenterology Hepatology and Nutrition, University of Groningen, University Medical Centre Groningen - Beatrix Children's Hospital, Groningen, The Netherlands.
Maastricht University · NLRadboud University Nijmegen · NLUniversity Medical Center Groningen · NLZuyderland Medisch Centrum · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectiveEfficacy of infliximab in children with inflammatory bowel disease can be enhanced when serum concentrations are measured and further dosing is adjusted to achieve and maintain a target concentration. Use of a population pharmacokinetic model may help to predict an individual's infliximab dose requirement. The aim of this study was to evaluate the predictive performance of available infliximab population pharmacokinetic models in an independent cohort of Dutch children with inflammatory bowel disease.

methodsIn this retrospective study, we used data of 70 children with inflammatory bowel disease (443 infliximab concentrations) to evaluate eight models that focused on infliximab pharmacokinetic models in individuals with inflammatory bowel disease, preferably aged ≤ 18 years. Predictive performance was evaluated with prior predictions (based solely on patient-specific covariates) and posterior predictions (based on covariates and infliximab trough concentrations). Model accuracy and precision were calculated with relative bias and relative root mean square error and we determined the classification accuracy at the trough concentration target of ≥ 5 mg/L.

resultsThe population pharmacokinetic model by Fasanmade was identified to be most appropriate for the total dataset (relative bias before/after therapeutic drug monitoring: -20.7%/11.2% and relative root mean square error before/after therapeutic drug monitoring: 84.1%/51.6%), although differences between models were small and several were deemed suitable for clinical use. For the Fasanmade model, sensitivity and specificity for maximum posterior predictions for the next infliximab trough concentration to be ≥ 5 mg/L were respectively 83.5% and 80% with an area under the receiver operating characteristic curve of 0.870.

conclusionsIn our paediatric cohort, various models provided acceptable predictive performance, with the Fasanmade model deemed most suitable for clinical use. Model-informed precision dosing can therefore be expected to help to maintain infliximab trough concentrations in the target range.

Indexed as

Drug MonitoringGastrointestinal AgentsInflammatory Bowel DiseasesInfliximabModels, BiologicalAdolescentChildChild, PreschoolCohort StudiesFemaleHumansMaleNetherlandsRetrospective StudiesGastrointestinal AgentsInfliximab

Identifiers

PMID38488984
PMCPMC11052775
OpenAlexW4392847848

What Socratic holds

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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 Socratic graph.