ArticleJournal of clinical pharmacology2026
From PICU to NICU: Extrapolating Meropenem Exposure From Pediatric to Neonatal Intensive Care Patients.
Article in 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 2 papers.
What it found
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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.
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.
Who cites it
2 citing papers in PubMed.
- Impact of Febrile State on Vancomycin Clearance in Pediatric Patients: Insights From Population Pharmacokinetic Modeling.Pharmaceutical research · 2026Article
- Can a population pharmacokinetics model built on intermittent infusions accurately predict meropenem concentrations in children receiving continuous infusions?British journal of clinical pharmacology · 2026Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
We previously developed a population pharmacokinetic (PopPK) model for meropenem in pediatric intensive care unit patients accounting for effect of body size, maturation, and kidney function on clearance. This study aimed to extrapolate meropenem exposure to neonates and young infants using the pediatric PopPK model and to validate the predictions using external data. An independent dataset was obtained from the regulations.gov website, which included 176 neonates and young infants (up to 3 months old) with a total of 767 plasma meropenem concentrations. After normalizing the estimated glomerular filtration rate (eGFR) using a maturation factor, the PopPK model was applied to this dataset and the concordance between the model predictions and observed concentrations was visually assessed using goodness-of-fit (GOF) plots and prediction-corrected visual predictive check. Median prediction error (MDPE) evaluated bias and median absolute prediction error (MDAPE) evaluated precision of the predictions. GOF plots indicated no apparent bias or model misspecification. Individual-level predictions showed an MDPE of 1% and an MDAPE of 18.3%, both within commonly accepted thresholds for bias (<±20%-30%) and precision (<30%-35%), respectively. The findings support the model's application for simulations when neonatal eGFR is normalized using a maturation factor and for model-informed precision dosing in clinical practice for neonates and infants.
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Registered trials
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.