Co-variables influencing 5-fluorouracil clearance during continuous venous infusion. A NONMEM analysis

Etienne, Marie‐Christine; Chatelut, Étienne; Pivot, Xavier; Lavit, Michel; Pujol, André; Canal, Pierre; Milano, Gérard

doi:10.1016/s0959-8049(97)00345-6

Cited by 77 publications

(48 citation statements)

References 28 publications

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“…Contradictory results have previously been obtained about the influence of gender on 5-FU Cl, usually because of the limited number of women in the populations studied. 25 Age did not appear to influence the eliminatory capacity of 5-FU, 23,26 although other studies suggest that patient age has a significant impact on 5-FU Cl. 25 Likewise, as our study reflects, other authors did not found a significant influence of hepatic function tests on predicting 5-FU Cl.…”

Section: Discussionmentioning

confidence: 73%

“…10,25 This lends strength to the conclusion reached in a recent review article by Gurney 10 that the routine use of body surface area for dose calculation of anticancer drugs, at least for 5-FU, should be reevaluated. Contradictory results have previously been obtained about the influence of gender on 5-FU Cl, usually because of the limited number of women in the populations studied.…”

Section: Discussionmentioning

confidence: 86%

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A Bayesian Method for Predicting 5‐Fluorouracil Pharmacokinetic Parameters Following Short‐Term Infusion in Patients With Colorectal Cancer

Climente‐Martí

Merino-Sanjuán

Almenar-Cubells

et al. 2003

Journal of Pharmaceutical Sciences

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Section: Discussionmentioning

confidence: 73%

Section: Discussionmentioning

confidence: 86%

A Bayesian Method for Predicting 5‐Fluorouracil Pharmacokinetic Parameters Following Short‐Term Infusion in Patients With Colorectal Cancer

Climente‐Martí

Merino-Sanjuán

Almenar-Cubells

et al. 2003

Journal of Pharmaceutical Sciences

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“…The screening and selection of covariates were performed following a classic stepwise approach [29] . In the first step, a covariate-free population pharmacokinetic model was degree of freedom).…”

Section: Screening Of Covariatesmentioning

confidence: 99%

Ciclosporin Population Pharmacokinetics and Bayesian Estimation in Thoracic Transplant Recipients

et al. 2013

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“…The screening and selection of covariates was performed classically [21]. Individual pharmacokinetic parameters obtained using the post hoc option were plotted against the subjects' age and bodyweight.…”

Section: Statistical Models For Pharmacokinetic Parametersmentioning

confidence: 99%

Interrelations between plasma caffeine concentrations and neurobehavioural effects in healthy volunteers: model analysis using NONMEM

Seng

Teo

Fun

et al. 2010

Biopharm & Drug Disp

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The objective was to develop a population pharmacokinetic-pharmacodynamic model of caffeine's psychomotor effects in healthy, non-habitual users of caffeine. Twenty Chinese males each received a single dose of 250 mg of caffeine orally. Plasma concentrations of caffeine were determined at various times within 24 h after dosing. The subjects' psychomotor performance was evaluated before and at various times after dosing by a test battery consisting of oculomotor assessment (saccadic velocity) as well as the computerised Swedish Performance Evaluation System. Nonlinear mixed-effects modelling to analyse the pharmacokinetic-pharmacodynamic relationships was performed using NONMEM. Model robustness was assessed by a nonparametric bootstrap. The results showed that caffeine caused significant improvements in psychomotor functioning. The time course of these effects was best described by pharmacokinetic/pharmacodynamic models involving an effect compartment. The transfer half-lives between plasma and effect site for different domains of psychomotor functioning were in the range 24.8-49.5 min. Evaluation of the final models showed close agreement between pairs of bootstrapped and final model parameter estimates (all differences<10%). These results provided the first suggestive evidence that caffeine effects on psychomotor performance occur after some time delay relative to changes in plasma caffeine concentration. The models for the neurobehavioural tests provided similar transfer half-lives between plasma and effect site.

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Co-variables influencing 5-fluorouracil clearance during continuous venous infusion. A NONMEM analysis

Cited by 77 publications

References 28 publications

A Bayesian Method for Predicting 5‐Fluorouracil Pharmacokinetic Parameters Following Short‐Term Infusion in Patients With Colorectal Cancer

A Bayesian Method for Predicting 5‐Fluorouracil Pharmacokinetic Parameters Following Short‐Term Infusion in Patients With Colorectal Cancer

Ciclosporin Population Pharmacokinetics and Bayesian Estimation in Thoracic Transplant Recipients

Interrelations between plasma caffeine concentrations and neurobehavioural effects in healthy volunteers: model analysis using NONMEM

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