(Q41092851)

26 September 2017

title

Aminoglycoside forecasting in neutropenic patients with cancer (English)

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26 September 2017

J L Kosirog

1

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26 September 2017

R M Rospond

series ordinal

2

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26 September 2017

C Destache

series ordinal

3

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26 September 2017

P Hall

series ordinal

4

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26 September 2017

publication date

1 January 1993

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Clinical Pharmacokinetics

26 September 2017

published in

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26 September 2017

volume

24

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26 September 2017

issue

1

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26 September 2017

page(s)

79-87

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A Bayesian feedback method of aminoglycoside dosing.

26 September 2017

cites work

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12 December 2020

Prediction of gentamicin serum levels using a one-compartment open linear pharmacokinetic model

1 reference

12 December 2020

Pharmacokinetics of gentamicin in patients with spinal cord injury

1 reference

12 December 2020

Altered gentamicin distribution in ascitic patients

1 reference

12 December 2020

Wide interpatient variations in gentamicin dose requirements for geriatric patients

1 reference

12 December 2020

Increased dosage requirements of gentamicin in burn patients

1 reference

12 December 2020

Evaluation of a microcomputer program for predicting tobramycin serum concentrations

1 reference

12 December 2020

Comparison of Sawchuk-Zaske and Bayesian forecasting for aminoglycosides in seriously ill patients

1 reference

12 December 2020

Accuracy of serum gentamicin concentration predictions generated by a personal-computer software system

1 reference

12 December 2020

Alterations in aminoglycoside pharmacokinetics in patients with cancer

1 reference

12 December 2020

Use of aminoglycosides in critically ill patients: individualization of dosage using Bayesian statistics and pharmacokinetic principles

1 reference

12 December 2020

Reappraisal of guidelines for pharmacokinetic monitoring of aminoglycosides

1 reference

12 December 2020

Application of Bayesian estimation for the prediction of an appropriate dosage regimen of amikacin.

1 reference

12 December 2020

Gentamicin bioavailability and single-dose pharmacokinetics in spinal cord injury

1 reference

12 December 2020

Bayesian forecasting of aminoglycoside dosing requirements in obese patients: influence of subpopulation versus general population pharmacokinetic parameters as the internal estimates

1 reference

12 December 2020

Predictive performance of Sawchuk-Zaske and Bayesian dosing methods for tobramycin

1 reference

12 December 2020

Accuracy of Bayesian and Sawchuk-Zaske dosing methods for gentamicin.

1 reference

12 December 2020

Some suggestions for measuring predictive performance

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12 December 2020

Validation of the use of Bayesian analysis in the optimization of gentamicin therapy from the commencement of dosing

1 reference

12 December 2020

Use of gentamicin serum levels to individualize therapy in children

1 reference

12 December 2020

Evaluation of a Bayesian method of amikacin dosing in intensive care unit patients with normal or impaired renal function.

1 reference

12 December 2020

Predictive performance of computer dosing methods for tobramycin using two pharmacokinetic models and two weighting algorithms.

1 reference

12 December 2020

Influence of ascites on tobramycin pharmacokinetics

1 reference

12 December 2020

Comparison of the predictions of one- and two-compartment microcomputer programs for long-term tobramycin therapy

1 reference

12 December 2020

Confirmation of a computer-derived nomogram to predict gentamicin serum concentrations in postsurgical patients

1 reference

12 December 2020

Aminoglycoside volume of distribution in hematology-oncology patients

1 reference

12 December 2020

Implementation and evaluation of control strategies for individualizing dosage regimens, with application to the aminoglycoside antibiotics

1 reference

12 December 2020

Comparison of a Bayesian program with three microcomputer programs for predicting gentamicin concentrations.

1 reference

12 December 2020

10.2165/00003088-199324010-00007

Identifiers

DOI

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Dimensions Publication ID

26 September 2017

1040869973

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