Literature DB >> 24527997

Model-based clinical drug development in the past, present and future: a commentary.

Holly Kimko1, José Pinheiro.   

Abstract

Clinical drug development remains a mostly empirical, costly enterprise, in which decision-making is often based on qualitative assessment of risk, without properly leveraging all the relevant data collected throughout the development programme. Model-based drug development (MBDD) has been proposed by regulatory agencies, academia and pharmaceutical companies as a paradigm to modernize drug research through the quantification of risk and combination of information from different sources across time. We present here a historical account of the use of MBDD in clinical drug development, the current challenges and further opportunities for its application in the pharmaceutical industry.
© 2014 The British Pharmacological Society.

Keywords:  PK/PD; clinical trial simulation; model-based drug development; modelling; simulation

Mesh:

Year:  2015        PMID: 24527997      PMCID: PMC4294081          DOI: 10.1111/bcp.12341

Source DB:  PubMed          Journal:  Br J Clin Pharmacol        ISSN: 0306-5251            Impact factor:   4.335


  33 in total

1.  A Bayesian adaptive design for multi-dose, randomized, placebo-controlled phase I/II trials.

Authors:  Fang Xie; Yuan Ji; Lothar Tremmel
Journal:  Contemp Clin Trials       Date:  2012-03-09       Impact factor: 2.226

2.  Model-based drug development survey finds pharmacometrics impacting decision making in the pharmaceutical industry.

Authors:  Julie A Stone; Christopher Banfield; Marc Pfister; Stacey Tannenbaum; Sandy Allerheiligen; Jeffrey D Wetherington; Rajesh Krishna; Dennis M Grasela
Journal:  J Clin Pharmacol       Date:  2010-09       Impact factor: 3.126

Review 3.  Including multiple imputation in a sensitivity analysis for clinical trials with treatment failures.

Authors:  Michele L Shaffer; Vernon M Chinchilli
Journal:  Contemp Clin Trials       Date:  2006-06-28       Impact factor: 2.226

4.  Impact of pharmacometric reviews on new drug approval and labeling decisions--a survey of 31 new drug applications submitted between 2005 and 2006.

Authors:  V A Bhattaram; C Bonapace; D M Chilukuri; J Z Duan; C Garnett; J V S Gobburu; S H Jang; L Kenna; L J Lesko; R Madabushi; Y Men; J R Powell; W Qiu; R P Ramchandani; C W Tornoe; Y Wang; J J Zheng
Journal:  Clin Pharmacol Ther       Date:  2007-02       Impact factor: 6.875

5.  Modeling and simulation to support dose selection and clinical development of SC-75416, a selective COX-2 inhibitor for the treatment of acute and chronic pain.

Authors:  K G Kowalski; S Olson; A E Remmers; M M Hutmacher
Journal:  Clin Pharmacol Ther       Date:  2007-09-19       Impact factor: 6.875

6.  Partial derivative-based sensitivity analysis of models describing target-mediated drug disposition.

Authors:  Anson K Abraham; Wojciech Krzyzanski; Donald E Mager
Journal:  AAPS J       Date:  2007-06-08       Impact factor: 4.009

7.  Time for quantitative clinical pharmacology: a proposal for a pharmacometrics curriculum.

Authors:  N Holford; M O Karlsson
Journal:  Clin Pharmacol Ther       Date:  2007-05-09       Impact factor: 6.875

8.  A comprehensive model for the humoral coagulation network in humans.

Authors:  T Wajima; G K Isbister; S B Duffull
Journal:  Clin Pharmacol Ther       Date:  2009-06-10       Impact factor: 6.875

9.  A mathematical model for maximizing the value of phase 3 drug development portfolios incorporating budget constraints and risk.

Authors:  Nitin R Patel; Suresh Ankolekar; Zoran Antonijevic; Natasa Rajicic
Journal:  Stat Med       Date:  2013-01-09       Impact factor: 2.373

10.  Evaluation of exposure change of nonrenally eliminated drugs in patients with chronic kidney disease using physiologically based pharmacokinetic modeling and simulation.

Authors:  Ping Zhao; Manuela de L T Vieira; Joseph A Grillo; Pengfei Song; Ta-Chen Wu; Jenny H Zheng; Vikram Arya; Eva Gil Berglund; Arthur J Atkinson; Yuichi Sugiyama; K Sandy Pang; Kellie S Reynolds; Darrell R Abernethy; Lei Zhang; Lawrence J Lesko; Shiew-Mei Huang
Journal:  J Clin Pharmacol       Date:  2012-01       Impact factor: 3.126

View more
  17 in total

1.  Optimizing Dose-Finding Studies for Drug Combinations Based on Exposure-Response Models.

Authors:  Theodoros Papathanasiou; Anders Strathe; Rune Viig Overgaard; Trine Meldgaard Lund; Andrew C Hooker
Journal:  AAPS J       Date:  2019-07-29       Impact factor: 4.009

2.  Body of evidence and approaches applied in the clinical development programme of fixed-dose combinations in the European Union from 2010 to 2016.

Authors:  Asbjørn Nøhr-Nielsen; Marie Louise De Bruin; Mikael Thomsen; Christian Bressen Pipper; Theis Lange; Ole Jannik Bjerrum; Trine Meldgaard Lund
Journal:  Br J Clin Pharmacol       Date:  2019-06-17       Impact factor: 4.335

3.  Pharmacometrics: so much mathematics and why planes achieve their destinations with almost perfect results ….

Authors:  Geoffrey K Isbister; Robert Bies
Journal:  Br J Clin Pharmacol       Date:  2015-01       Impact factor: 4.335

Review 4.  Transitioning from Basic toward Systems Pharmacodynamic Models: Lessons from Corticosteroids.

Authors:  Vivaswath S Ayyar; William J Jusko
Journal:  Pharmacol Rev       Date:  2020-04       Impact factor: 25.468

5.  Evaluation of a pharmacokinetic-pharmacodynamic model for hypouricaemic effects of febuxostat using datasets obtained from real-world patients.

Authors:  Toshinori Hirai; Toshimasa Itoh; Toshimi Kimura; Hirotoshi Echizen
Journal:  Br J Clin Pharmacol       Date:  2018-07-08       Impact factor: 3.716

6.  The quaternary lidocaine derivative QX-314 in combination with bupivacaine for long-lasting nerve block: Efficacy, toxicity, and the optimal formulation in rats.

Authors:  Qinqin Yin; Jun Li; Qingshan Zheng; Xiaolin Yang; Rong Lv; Longxiang Ma; Jin Liu; Tao Zhu; Wensheng Zhang
Journal:  PLoS One       Date:  2017-03-23       Impact factor: 3.240

Review 7.  Pharmacokinetic-Pharmacodynamic Modeling in Pediatric Drug Development, and the Importance of Standardized Scaling of Clearance.

Authors:  Eva Germovsek; Charlotte I S Barker; Mike Sharland; Joseph F Standing
Journal:  Clin Pharmacokinet       Date:  2019-01       Impact factor: 5.577

8.  Advanced Methods for Dose and Regimen Finding During Drug Development: Summary of the EMA/EFPIA Workshop on Dose Finding (London 4-5 December 2014).

Authors:  F T Musuamba; E Manolis; N Holford; Sya Cheung; L E Friberg; K Ogungbenro; M Posch; Jwt Yates; S Berry; N Thomas; S Corriol-Rohou; B Bornkamp; F Bretz; A C Hooker; P H Van der Graaf; J F Standing; J Hay; S Cole; V Gigante; K Karlsson; T Dumortier; N Benda; F Serone; S Das; A Brochot; F Ehmann; R Hemmings; I Skottheim Rusten
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2017-07-19

9.  Clinical Studies for the Sake of Negative Data: The Proof Is in the Pudding.

Authors:  Sarah Robertson
Journal:  Clin Transl Sci       Date:  2018-07-10       Impact factor: 4.689

Review 10.  Innovation at the Intersection of Clinical Trials and Real-World Data Science to Advance Patient Care.

Authors:  Brandon Swift; Lokesh Jain; Craig White; Vasu Chandrasekaran; Aman Bhandari; Dyfrig A Hughes; Pravin R Jadhav
Journal:  Clin Transl Sci       Date:  2018-05-16       Impact factor: 4.689

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.