Evidence map›Paper›PMID 29134570›Full record

ArticleClinical pharmacokinetics2018

Evaluation of Tobramycin Exposure Predictions in Three Bayesian Forecasting Programmes Compared with Current Clinical Practice in Children and Adults with Cystic Fibrosis.

Marc Burgard, Indy Sandaradura, Sebastiaan J van Hal, Sonya Stacey, Stefanie Hennig

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Article in Clinical pharmacokinetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
1.7field-weighted citation impact, top 16% 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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. A Critique of Pharmacokinetic Calculators for Drug Dosing Individualization.European journal of drug metabolism and pharmacokinetics · 2020
    Pooled it
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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

5 authors at 3 institutions in 1 country.

Marc BurgardSchool of Pharmacy, Pharmacy Australia Centre of Excellence, University of Queensland, 20 Cornwall Street, Woolloongabba, Brisbane, QLD, 4102, Australia.
Indy SandaraduraCentre for Infectious Diseases and Microbiology, Westmead Hospital, Westmead, NSW, Australia.ORCID 0000-0002-9457-8262
Sebastiaan J van HalDepartment of Microbiology and Infectious Diseases, Royal Prince Alfred Hospital, Sydney, NSW, Australia.
Sonya StaceySchool of Pharmacy, Pharmacy Australia Centre of Excellence, University of Queensland, 20 Cornwall Street, Woolloongabba, Brisbane, QLD, 4102, Australia.ORCID 0000-0003-2535-9688
Stefanie HennigSchool of Pharmacy, Pharmacy Australia Centre of Excellence, University of Queensland, 20 Cornwall Street, Woolloongabba, Brisbane, QLD, 4102, Australia. s.hennig@uq.edu.au.ORCID 0000-0001-5972-3711
The University of Queensland · AURoyal Prince Alfred Hospital · AUWestmead Hospital · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesBayesian forecasting (BF) methods for tobramycin dose individualisation has not seen widespread clinical adoption, despite being endorsed by clinical practice guidelines. Several freeware and commercial programmes using BF methods are available to support personalised dosing. This study evaluated exposure estimates, dose recommendations, and predictive performance compared with current clinical practice.

methodsData from 105 patients (50 adults and 55 children) with cystic fibrosis who received intravenous tobramycin treatment and had paired concentration-time measurements were analysed using (1) log-linear regression analysis, and (2) three BF programmes: TDMx, InsightRX, and DoseMe. Exposure estimates and dose recommendations were compared using the Wilcoxon signed-rank test and Bland-Altman analysis. Predictive performance of BF programmes was compared based on bias and imprecision.

resultsMedian estimated tobramycin exposure with current clinical practice was significantly lower (87.8 vs. 92.5, 94.0 and 90.3 mg h l

conclusionsOn average, the predictions made by the BF programmes were similar, however substantial individual differences were observed for some patients. This suggests the need for detailed investigations of true tobramycin exposure.

Indexed as

Drug MonitoringAdultAnti-Bacterial AgentsArea Under CurveBayes TheoremChildCystic FibrosisHumansPrecision MedicinePredictive Value of TestsTobramycinAnti-Bacterial AgentsTobramycin

Identifiers

PMID29134570
OpenAlexW2768720605

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.