Evidence map›Paper›PMID 41710930›Full record

Trial reportFrontiers in pharmacology2026

A prospective feasibility study evaluating the implementation of model-informed precision dosing in critically ill children.

Izgi Bayraktar, Merve Kaşıkcı, Zuhal Benek, Karel Allegaert, Berna Egehan Oruncu, Selman Kesici, Benan Bayrakci, Nadir Yalcin

Registry-linked trialAbstract readClinical Trial
In one paragraph

Trial report in Frontiers in pharmacology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07315438 (Model-Informed Precision Dosing on Amikacin and Vancomycin Therapy in Critically Ill Children), which is not on this map. Not yet cited in PubMed.

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

NCT07315438 nacompletednot on this map

Model-Informed Precision Dosing on Amikacin and Vancomycin Therapy in Critically Ill Children: A Pilot Randomized Clinical Trial

TypeinterventionalSponsorHacettepe UniversityRan2023 to 2025Enrolled41ConditionsModel Informed Precision DosingArmsMIPD Tool
3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Izgi BayraktarDepartment of Clinical Pharmacy, Faculty of Pharmacy, Hacettepe University, Ankara, Türkiye.
Merve KaşıkcıDepartment of Biostatistics, Faculty of Medicine, Hacettepe University, Ankara, Türkiye.
Zuhal BenekDepartment of Clinical Pharmacy, Faculty of Pharmacy, Hacettepe University, Ankara, Türkiye.
Karel AllegaertDepartment of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium.
Berna Egehan OruncuDepartment of Pediatric Intensive Care Medicine, Life Support Center, Hacettepe University, Ankara, Türkiye.
Selman KesiciDepartment of Pediatric Intensive Care Medicine, Life Support Center, Hacettepe University, Ankara, Türkiye.
Benan BayrakciDepartment of Pediatric Intensive Care Medicine, Life Support Center, Hacettepe University, Ankara, Türkiye.
Nadir YalcinDepartment of Clinical Pharmacy, Faculty of Pharmacy, Hacettepe University, Ankara, Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Achieving optimal antibiotic exposure in critically ill pediatric patients is difficult due to (their) dynamic physiology and variability. Conventional weight-based regimens often fail to reach pharmacokinetic/pharmacodynamic (PK/PD) targets for narrow therapeutic index agents such as vancomycin and amikacin. Model-Informed Precision Dosing (MIPD), which integrates Bayesian forecasting with population pharmacokinetics (popPK), offers a potentially valuable yet underexplored approach in pediatric intensive care to better attain and sustain target exposure. This study was designed as a prospective, pragmatic feasibility study with a comparator arm, employing observational analyses to evaluate the implementation and methodological performance of MIPD in a tertiary pediatric intensive care unit. Pediatric patients receiving vancomycin or amikacin were managed either with MIPD-guided dosing using a clinical decision support platform or with standard-of-care (SoC) dosing. Primary outcomes included prediction accuracy ( Clinical Trial Registration: ClinicalTrials.gov, identifier NCT07315438.

Indexed as

aminoglycosidechildrencritically illglycopeptidemodel informedprecision dosing

Identifiers

PMID41710930
PMCPMC12910213

What Socratic holds

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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 Socratic graph.