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Assessing Predictive Performance of Published Population Pharmacokinetic Models of Intravenous Tobramycin in Pediatric Patients

Overview of attention for article published in Antimicrobial Agents and Chemotherapy, May 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)

Mentioned by

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1 news outlet

Citations

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26 Dimensions

Readers on

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36 Mendeley
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Title
Assessing Predictive Performance of Published Population Pharmacokinetic Models of Intravenous Tobramycin in Pediatric Patients
Published in
Antimicrobial Agents and Chemotherapy, May 2016
DOI 10.1128/aac.02654-15
Pubmed ID
Authors

Celeste Bloomfield, Christine E. Staatz, Sean Unwin, Stefanie Hennig

Abstract

Several population pharmacokinetic models describe the dose-exposure relationship of tobramycin in paediatric patients. Before implementing these models in clinical practice for dosage adjustment their predictive performance should be externally evaluated. This study tested the predictive performance of all published population pharmacokinetic models of tobramycin developed in paediatric patients in an independent patient cohort. A literature search was conducted to identify suitable models for testing. Demographic and pharmacokinetic data were collected retrospectively from medical records of paediatric patients who had received intravenous tobramycin. Tobramycin exposure was predicted from each model. Predictive performance was assessed by comparing predictions to observations visually, calculating bias and imprecision, and through use of simulation-based diagnostics. Eight population pharmacokinetic models were identified. 269 concentration-time points from 41 paediatric patients with cystic fibrosis were collected for external evaluation. Three models consistently performed the best in all evaluations and had a mean error ranging from -0.4 to 1.8 mg/L, relative mean error from 4.9 to 29.4% and root mean square error from 47.8 to 66.9%. Simulation-based diagnostics supported these findings. Models that allowed for two-compartment disposition generally had better predictive performance than those with one-compartment disposition. Several published pharmacokinetic models of tobramycin showed reasonable low levels of bias although all models seemed to have some problems with imprecision. This suggests that knowledge of typical pharmacokinetic behaviour and patient covariate values alone without feedback concentration measurements from individual patients is not sufficient to make precise predictions.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 1 3%
Unknown 35 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 17%
Student > Bachelor 4 11%
Student > Postgraduate 4 11%
Student > Doctoral Student 3 8%
Other 3 8%
Other 8 22%
Unknown 8 22%
Readers by discipline Count As %
Medicine and Dentistry 9 25%
Pharmacology, Toxicology and Pharmaceutical Science 7 19%
Biochemistry, Genetics and Molecular Biology 2 6%
Nursing and Health Professions 2 6%
Environmental Science 2 6%
Other 6 17%
Unknown 8 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 23 May 2016.
All research outputs
#4,837,286
of 25,377,790 outputs
Outputs from Antimicrobial Agents and Chemotherapy
#4,050
of 15,580 outputs
Outputs of similar age
#76,645
of 348,586 outputs
Outputs of similar age from Antimicrobial Agents and Chemotherapy
#202
of 260 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 15,580 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one has gotten more attention than average, scoring higher than 70% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 348,586 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 260 others from the same source and published within six weeks on either side of this one. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.