Evidence map›Paper›PMID 23420517›Full record

SynthesisClinical pharmacokinetics2013

Population pharmacokinetics of tobramycin in patients with and without cystic fibrosis.

Stefanie Hennig, Joseph F Standing, Christine E Staatz, Alison H Thomson

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Clinical pharmacokinetics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 4 pooled it
4.9field-weighted citation impact, top 5% of its field
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

40 citing papers in PubMed, 4 syntheses or guidelines pooled it, 70 citations in OpenAlex.

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  13. Therapeutic Interventions forJournal of clinical medicine · 2024
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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 at 3 institutions in 3 countries.

Stefanie HennigSchool of Pharmacy, University of Queensland, Brisbane, Pharmacy Australia Centre of Excellence (PACE), 20 Cornwall Street, Woolloongabba QLD 4102, Australia. s.hennig@uq.edu.au
Joseph F Standing
Christine E Staatz
Alison H Thomson
University of Queensland · AUUniversity College London · GBWestern Infirmary · GB

Funding

Resource Facility for Population KineticsP41EB001975 · NIBIB · UNIVERSITY OF WASHINGTON · PI FOSTER, DAVID M · 2003 to 2007
$4.9M
Medical Research Council G1002305NIBIB NIH HHS P41-EB01975
6 · The paper itself

Abstract

BACKGROUND AND

objectivesWhile several studies have examined the pharmacokinetics of tobramycin in patients with cystic fibrosis (CF), there is no consensus on whether they differ in patients with and without CF. The objectives of this study were to identify covariates which explain pharmacokinetic variability and to examine whether having the disease CF in itself alters these relationships and drug dose requirements.

methodsTo investigate this issue, a population pharmacokinetic meta-analysis of data from eight centres was undertaken. NONMEM(®) 7.2 was used to analyse the data, which comprised 4,514 concentration-time measurements from 465 adults and children with CF and 1,095 concentration-time measurements from 267 adults and children without CF.

resultsTobramycin disposition was well described by a two-compartment model with first-order elimination. Patient age, fat-free mass, serum creatinine concentration and sex were identified as significant covariates in the final model. Fat-free mass was superior to total bodyweight as a descriptor of clearance, volume of distribution of the central and peripheral compartments and inter-compartmental clearance. CF as an independent disease-specific factor had no significant influence on the pharmacokinetics of tobramycin at any stage during covariate model building. An optimal dose of 11 mg/kg every 24 h was defined for CF patients using a utility function approach.

conclusionThe pharmacokinetics of tobramycin do not differ significantly in CF patients compared with patients without CF when subject age, fat-free mass, sex and renal function are taken into consideration. Variations in tobramycin dosing between CF and non-CF patients should therefore reflect target concentrations or exposures based on differences in expected pathogen sensitivity and not the presence of CF.

Indexed as

Models, BiologicalAdolescentAdultAgedAged, 80 and overAge FactorsAnti-Bacterial AgentsChildChild, PreschoolCystic FibrosisDose-Response Relationship, DrugFemaleHumansInfantInfant, NewbornMaleAnti-Bacterial AgentsTobramycin

Identifiers

PMID23420517
OpenAlexW2011719960

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.