Evidence map›Paper›PMID 41276470›Full record

ArticleBritish journal of clinical pharmacology2026

Can a population pharmacokinetics model built on intermittent infusions accurately predict meropenem concentrations in children receiving continuous infusions?

Lucy Cheng, Suchita Kumar, Pier Giorgio Cojutti, Federico Pea, Sonya Tang Girdwood, Ronaldo Morales Junior

Abstract read
In one paragraph

Article in British journal of clinical pharmacology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Observational
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.

Lucy ChengDivision of Translational and Clinical Pharmacology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.ORCID https://orcid.org/0009-0000-7531-9612
Suchita KumarDepartment of Pharmacology, Physiology, and Neurobiology, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA.ORCID https://orcid.org/0000-0001-8938-9910
Pier Giorgio CojuttiClinical Pharmacology Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.ORCID https://orcid.org/0000-0001-7135-4410
Federico PeaClinical Pharmacology Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.ORCID https://orcid.org/0000-0002-6966-7167
Sonya Tang GirdwoodDivision of Translational and Clinical Pharmacology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.ORCID https://orcid.org/0000-0001-7737-8499
Ronaldo Morales JuniorDivision of Translational and Clinical Pharmacology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.ORCID https://orcid.org/0000-0002-5856-3717

Funding

Antibiotic Model-Informed Precision Dosing in Critical IllnessR35GM146701 · NIGMS · CINCINNATI CHILDRENS HOSP MED CTR · PI Sonya C Tang Girdwood · 2022 to 2026
$2.0M
NIGMS NIH HHS R35 GM146701NIGMS NIH HHS R35GM146701
6 · The paper itself

Abstract

We previously developed a population pharmacokinetic (PopPK) model using data from paediatric intensive care unit patients receiving meropenem as intermittent infusions. This study assessed the predictive performance of our model in estimating steady-state concentrations of meropenem in paediatric patients receiving continuous infusions. Retrospective data from 57 patients and 163 samples were used to measure bias and precision in both population and individual meropenem concentration predictions via median prediction error (MDPE) and median absolute prediction error (MDAPE), respectively. Error metrics for population predictions were 17.0% MDPE and 33.4% MDAPE, and for individual predictions were 4.4% MDPE and 19.6%, nearly all meeting the commonly used acceptable values of 20% for bias metrics and 30% for precision. In conclusion, this meropenem PopPK model can guide initial dosing strategies and be applied for model-informed precision dosing in critically ill paediatric patients receiving meropenem as continuous infusion.

Indexed as

Anti-Bacterial AgentsMeropenemModels, BiologicalAdolescentChildChild, PreschoolCritical IllnessFemaleHumansInfantInfusions, IntravenousIntensive Care Units, PediatricMaleRetrospective StudiesAnti-Bacterial AgentsMeropenembeta‐lactamschildrencritical illnessexternal validationmeropenempopulation pharmacokineticsprecision dosing

Identifiers

PMID41276470
PMCPMC12724567

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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.