Literature DB >> 25948018

Optimal methodology is important for optimal pharmacokinetic studies, therapeutic drug monitoring and patient care.

Roger Jelliffe1.   

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Year:  2015        PMID： 25948018     DOI： 10.1007/s40262-015-0280-4

Source DB:  PubMed          Journal:  Clin Pharmacokinet        ISSN： 0312-5963            Impact factor:   6.447


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  16 in total

1.  Achieving target goals most precisely using nonparametric compartmental models and "multiple model" design of dosage regimens.

Authors:  R Jelliffe; D Bayard; M Milman; M Van Guilder; A Schumitzky
Journal:  Ther Drug Monit       Date:  2000-06       Impact factor: 3.681

2.  Evaluation of estimated creatinine clearance before steady state in acute kidney injury by creatinine kinetics.

Authors:  Masatomo Yashiro; Miyuki Ochiai; Nao Fujisawa; Yuko Kadoya; Tadashi Kamata
Journal:  Clin Exp Nephrol       Date:  2012-02-14       Impact factor: 2.801

3.  Parametric and nonparametric population methods: their comparative performance in analysing a clinical dataset and two Monte Carlo simulation studies.

Authors:  Aida Bustad; Dimiter Terziivanov; Robert Leary; Ruediger Port; Alan Schumitzky; Roger Jelliffe
Journal:  Clin Pharmacokinet       Date:  2006       Impact factor: 6.447

4.  Clinical estimation of creatinine clearance.

Authors:  L A Wheeler; L B Sheiner
Journal:  Am J Clin Pathol       Date:  1979-07       Impact factor: 2.493

5.  Pharmacokinetics and pharmacodynamics of continuous infusion meropenem in overweight, obese, and morbidly obese patients with stable and unstable kidney function: a step toward dose optimization for the treatment of severe gram-negative bacterial infections.

Authors:  Manjunath P Pai; Piergiorgio Cojutti; Federico Pea
Journal:  Clin Pharmacokinet       Date:  2015-09       Impact factor: 6.447

Review 6.  Model-based, goal-oriented, individualised drug therapy. Linkage of population modelling, new 'multiple model' dosage design, bayesian feedback and individualised target goals.

Authors:  R W Jelliffe; A Schumitzky; D Bayard; M Milman; M Van Guilder; X Wang; F Jiang; X Barbaut; P Maire
Journal:  Clin Pharmacokinet       Date:  1998-01       Impact factor: 6.447

7.  A more accurate method to estimate glomerular filtration rate from serum creatinine: a new prediction equation. Modification of Diet in Renal Disease Study Group.

Authors:  A S Levey; J P Bosch; J B Lewis; T Greene; N Rogers; D Roth
Journal:  Ann Intern Med       Date:  1999-03-16       Impact factor: 25.391

8.  Improved Tacrolimus Target Concentration Achievement Using Computerized Dosing in Renal Transplant Recipients--A Prospective, Randomized Study.

Authors:  Elisabet Størset; Anders Åsberg; Morten Skauby; Michael Neely; Stein Bergan; Sara Bremer; Karsten Midtvedt
Journal:  Transplantation       Date:  2015-10       Impact factor: 4.939

9.  Estimation of creatinine clearance in patients with unstable renal function, without a urine specimen.

Authors:  Roger Jelliffe
Journal:  Am J Nephrol       Date:  2002 Jul-Aug       Impact factor: 3.754

Review 10.  Estimation of renal function in the intensive care unit: the covert concepts brought to light.

Authors:  Sham Sunder; Rajesh Jayaraman; Himanshu Sekhar Mahapatra; Satyanand Sathi; Venkata Ramanan; Prabhu Kanchi; Anurag Gupta; Sunil Kumar Daksh; Pranit Ram
Journal:  J Intensive Care       Date:  2014-05-07
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  2 in total

1.  Challenges in Individualizing Drug Dosage for Intensive Care Unit Patients: Is Augmented Renal Clearance What We Really Want to Know? Some Suggested Management Approaches and Clinical Software Tools.

Authors:  Roger Jelliffe
Journal:  Clin Pharmacokinet       Date:  2016-08       Impact factor: 6.447

2.  Author's Reply to Proost: "Challenges in Individualizing Drug Dosage for Intensive Care Unit Patients".

Authors:  Roger W Jelliffe
Journal:  Clin Pharmacokinet       Date:  2017-03       Impact factor: 6.447
  2 in total

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