Evidence map›Paper›PMID 40796761›Full record

ArticleJournal of clinical pharmacology2026

From PICU to NICU: Extrapolating Meropenem Exposure From Pediatric to Neonatal Intensive Care Patients.

Ronaldo Morales Junior, Tomoyuki Mizuno, Wen Rui Tan, Kei Irie, Sonya Tang Girdwood

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

5 authors.

Ronaldo Morales JuniorDivision of Translational and Clinical Pharmacology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.ORCID https://orcid.org/0000-0002-5856-3717
Tomoyuki MizunoDivision of Translational and Clinical Pharmacology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.ORCID https://orcid.org/0000-0002-8471-9826
Wen Rui TanDivision of Translational and Clinical Pharmacology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Kei IrieDivision of Translational and Clinical Pharmacology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Sonya Tang GirdwoodDivision of Translational and Clinical Pharmacology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.ORCID https://orcid.org/0000-0001-7737-8499

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 GM146701
6 · The paper itself

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.

Indexed as

Anti-Bacterial AgentsIntensive Care Units, PediatricMeropenemModels, BiologicalFemaleGlomerular Filtration RateHumansInfantInfant, NewbornIntensive Care Units, NeonatalMaleAnti-Bacterial AgentsMeropenemmaturationneonatespharmacokineticsβ‐lactam antibiotics

Identifiers

PMID40796761
PMCPMC12419554

What OpenQuestion holds

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LicenceCC BY-NC
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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.