Evidence map›Paper›PMID 40254714›Full record

ReviewClinical pharmacokinetics2025

Anti-infectives in Pediatric Patients with Cystic Fibrosis: A Comprehensive Review of Population Pharmacokinetic Analyses.

Aysenur Yaliniz, Mehdi El Hassani, Ana C Blanchard, Amélie Marsot

Abstract readReview
PubMed Publisher
In one paragraph

Review in Clinical pharmacokinetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the 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.

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

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

4 authors.

Aysenur YalinizLaboratoire de Suivi Thérapeutique Pharmacologique et Pharmacocinétique, Faculty of Pharmacy, Université de Montréal, 2940 chemin de Polytechnique, Montreal, QC, H3T 1J4, Canada. aysenur.yaliniz@umontreal.ca.ORCID 0009-0006-0447-7668
Mehdi El HassaniLaboratoire de Suivi Thérapeutique Pharmacologique et Pharmacocinétique, Faculty of Pharmacy, Université de Montréal, 2940 chemin de Polytechnique, Montreal, QC, H3T 1J4, Canada.
Ana C BlanchardDepartment of Pediatrics, Centre Hospitalier Universitaire Sainte-Justine, Montreal, Canada.
Amélie MarsotLaboratoire de Suivi Thérapeutique Pharmacologique et Pharmacocinétique, Faculty of Pharmacy, Université de Montréal, 2940 chemin de Polytechnique, Montreal, QC, H3T 1J4, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pulmonary complications are the leading cause of morbidity and mortality in pediatric patients with cystic fibrosis. Altered pharmacokinetic parameters in this population, as well as high inter- and intra-individual variability, complicate the optimization of anti-infective treatments. In this review, we aim to summarize and describe all anti-infective population pharmacokinetic (popPK) models applied to pediatric populations with cystic fibrosis. Our objectives were to identify the most-reported structural models and retained covariates and to compare the dosing regimens used in clinical routine with those recommended in literature and guidelines. A literature search was done through the PubMed database from inception to August 2024. Studies were retained only if they complied with the inclusion and exclusion criteria. The review included 21 popPK models covering the pharmacokinetic profiles of eight different molecules. Among these, five are recommended antibiotics for treating pulmonary infections in patients with cystic fibrosis. All models incorporated body composition and/or renal function measures as covariates in their pharmacokinetic parameter equations. Standard dosing regimens in the studies were consistent with guidelines and literature recommendations. This is the first review summarizing and describing all anti-infective popPK models in pediatric patients with cystic fibrosis. Improved estimation of pharmacokinetic parameters and a clearer understanding of variability sources will enhance the optimization of antibiotic treatment in clinical practice. Finally, the impact of new targeted therapies on the management of this population will have to be closely monitored in the years ahead.

Indexed as

Anti-Bacterial AgentsAnti-Infective AgentsCystic FibrosisModels, BiologicalChildHumansAnti-Bacterial AgentsAnti-Infective Agents

Identifiers

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Registered trials

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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.