Evidence map›Paper›PMID 29236229›Full record

ArticleClinical pharmacokinetics2018

Model-Based Therapeutic Drug Monitoring of Infliximab Using a Single Serum Trough Concentration.

David Ternant, Christophe Passot, Alexandre Aubourg, Philippe Goupille, Céline Desvignes, Laurence Picon, Thierry Lecomte, Denis Mulleman, Gilles Paintaud

Abstract read
PubMed Publisher
In one paragraph

Article in Clinical pharmacokinetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

12 citing papers in PubMed, 18 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

9 authors at 3 institutions in 1 country.

David TernantLaboratory of Pharmacology-Toxicology, Université François-Rabelais de Tours, CNRS, UMR 7292, CHRU de Tours, 2 Boulevard Tonnellé, 37044, Tours Cedex, France. david.ternant@univ-tours.fr.
Christophe PassotLaboratory of Pharmacology-Toxicology, Université François-Rabelais de Tours, CNRS, UMR 7292, CHRU de Tours, 2 Boulevard Tonnellé, 37044, Tours Cedex, France.
Alexandre AubourgDepartment of Gastroenterology, CHRU de Tours, Tours, France.
Philippe GoupilleLaboratory of Pharmacology-Toxicology, Université François-Rabelais de Tours, CNRS, UMR 7292, CHRU de Tours, 2 Boulevard Tonnellé, 37044, Tours Cedex, France.
Céline DesvignesLaboratory of Pharmacology-Toxicology, Université François-Rabelais de Tours, CNRS, UMR 7292, CHRU de Tours, 2 Boulevard Tonnellé, 37044, Tours Cedex, France.
Laurence PiconDepartment of Gastroenterology, CHRU de Tours, Tours, France.
Thierry LecomteLaboratory of Pharmacology-Toxicology, Université François-Rabelais de Tours, CNRS, UMR 7292, CHRU de Tours, 2 Boulevard Tonnellé, 37044, Tours Cedex, France.
Denis MullemanLaboratory of Pharmacology-Toxicology, Université François-Rabelais de Tours, CNRS, UMR 7292, CHRU de Tours, 2 Boulevard Tonnellé, 37044, Tours Cedex, France.
Gilles PaintaudLaboratory of Pharmacology-Toxicology, Université François-Rabelais de Tours, CNRS, UMR 7292, CHRU de Tours, 2 Boulevard Tonnellé, 37044, Tours Cedex, France.
Centre Hospitalier Universitaire de Tours · FRUniversité de Tours · FRCentre National de la Recherche Scientifique · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesThe pharmacokinetics of infliximab are highly variable and influence clinical response in chronic inflammatory diseases. The goal of this study was to build a Bayesian model allowing predictions of upcoming infliximab concentrations and dosing regimen adjustment, using only one concentration measurement and information regarding the last infliximab infusion.

methodsThis retrospective study was based on data from 218 patients treated with infliximab in Tours University Hospital who were randomly assigned to learning (two-thirds) or validation (one-third) data subsets. One-compartment pharmacokinetic and time since last dose (TLD) models were built and compared using learning and validation subsets. From these models, Bayesian pharmacokinetic and TLD models using one concentration measurement (1C-PK and 1C-TLD) were designed. The predictive performances of the 1C-TLD model were tested on two external validation cohorts.

resultsPharmacokinetic and TLD models described the data satisfactorily and provided accurate parameter estimations. Comparable predictions of infliximab concentrations were obtained from pharmacokinetic versus TLD models, as well as from Bayesian 1C-PK versus 1C-TLD models. The 1C-TLD model showed satisfactory prediction of future infliximab concentrations and provided satisfactory predictions of infliximab steady-state concentration for up to three upcoming visits after a blood sample.

conclusionsAccurate individual concentration predictions can be obtained using a single infliximab concentration measurement and information regarding only the last infusion. The 1C-TLD model may help to optimize the dosing regimen of infliximab in routine therapeutic drug monitoring.

Indexed as

Models, TheoreticalAdultBayes TheoremDrug MonitoringFemaleHumansInfliximabMaleMiddle AgedPredictive Value of TestsRetrospective StudiesInfliximab

Identifiers

PMID29236229
OpenAlexW2773624951

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.