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For: Nanga TM, Doan TTP, Marquet P, Musuamba FT. Toward a robust tool for pharmacokinetic-based personalization of treatment with tacrolimus in solid organ transplantation: A model-based meta-analysis approach. Br J Clin Pharmacol 2019;85:2793-823. [PMID: 31471970 DOI: 10.1111/bcp.14110] [Cited by in Crossref: 7] [Cited by in F6Publishing: 8] [Article Influence: 2.3] [Reference Citation Analysis]
Number Citing Articles
1 Henin E, Govoni M, Cella M, Laveille C, Piotti G. Therapeutic Drug Monitoring Strategies for Envarsus in De Novo Kidney Transplant Patients Using Population Modelling and Simulations. Adv Ther 2021;38:5317-32. [PMID: 34515977 DOI: 10.1007/s12325-021-01905-5] [Reference Citation Analysis]
2 Kirubakaran R, Hennig S, Maslen B, Day RO, Carland JE, Stocker SL. Evaluation of published population pharmacokinetic models to inform tacrolimus dosing in adult heart transplant recipients. Br J Clin Pharmacol 2021. [PMID: 34558092 DOI: 10.1111/bcp.15091] [Reference Citation Analysis]
3 Woillard JB, Labriffe M, Prémaud A, Marquet P. Estimation of drug exposure by machine learning based on simulations from published pharmacokinetic models: The example of tacrolimus. Pharmacol Res 2021;167:105578. [PMID: 33775863 DOI: 10.1016/j.phrs.2021.105578] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
4 Barrett JS, Barrett RF, Vinks AA. Status Toward the Implementation of Precision Dosing in Children. J Clin Pharmacol 2021;61 Suppl 1:S36-51. [PMID: 34185896 DOI: 10.1002/jcph.1830] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
5 Zwart TC, Guchelaar HJ, van der Boog PJM, Swen JJ, van Gelder T, de Fijter JW, Moes DJAR. Model-informed precision dosing to optimise immunosuppressive therapy in renal transplantation. Drug Discov Today 2021:S1359-6446(21)00273-7. [PMID: 34119665 DOI: 10.1016/j.drudis.2021.06.001] [Reference Citation Analysis]
6 Buclin T, Thoma Y, Widmer N, André P, Guidi M, Csajka C, Decosterd LA. The Steps to Therapeutic Drug Monitoring: A Structured Approach Illustrated With Imatinib. Front Pharmacol 2020;11:177. [PMID: 32194413 DOI: 10.3389/fphar.2020.00177] [Cited by in Crossref: 16] [Cited by in F6Publishing: 14] [Article Influence: 8.0] [Reference Citation Analysis]
7 Quintairos L, Colom H, Millán O, Fortuna V, Espinosa C, Guirado L, Budde K, Sommerer C, Lizana A, López-Púa Y, Brunet M. Early prognostic performance of miR155-5p monitoring for the risk of rejection: Logistic regression with a population pharmacokinetic approach in adult kidney transplant patients. PLoS One 2021;16:e0245880. [PMID: 33481955 DOI: 10.1371/journal.pone.0245880] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
8 Nanga TM, Doan TTP, Marquet P, Musuamba FT. Toward a robust tool for pharmacokinetic-based personalization of treatment with tacrolimus in solid organ transplantation: A model-based meta-analysis approach. Br J Clin Pharmacol 2019;85:2793-823. [PMID: 31471970 DOI: 10.1111/bcp.14110] [Cited by in Crossref: 7] [Cited by in F6Publishing: 8] [Article Influence: 2.3] [Reference Citation Analysis]
9 Kirubakaran R, Stocker SL, Hennig S, Day RO, Carland JE. Population Pharmacokinetic Models of Tacrolimus in Adult Transplant Recipients: A Systematic Review. Clin Pharmacokinet 2020;59:1357-92. [PMID: 32783100 DOI: 10.1007/s40262-020-00922-x] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 4.0] [Reference Citation Analysis]
10 Methaneethorn J, Lohitnavy M, Onlamai K, Leelakanok N. Predictive Performance of Published Tacrolimus Population Pharmacokinetic Models in Thai Kidney Transplant Patients. Eur J Drug Metab Pharmacokinet 2021. [PMID: 34817826 DOI: 10.1007/s13318-021-00735-8] [Reference Citation Analysis]