Literature DB >> 11439422

Patient specific dosing in a cancer phase I clinical trial.

J S Babb1, A Rogatko.   

Abstract

Recent improvements in our understanding of drug metabolism have led to the development of anticancer therapies that accommodate patient differences in drug tolerance. Such methods adjust the dose level according to measurable patient characteristics in order to obtain a target drug exposure. This paper describes the utilization of a patient specific dosing scheme in the statistical design of a phase I clinical trial involving patients with advanced adenocarcinomas of gastrointestinal origin. During the trial, dose levels were adjusted according to each patient's pretreatment concentration of an antibody that was shown in preclinical testing to moderate the effect of the agent under investigation. The design of the trial permitted a continual adjustment of the model used to tailor the dose to each patient's individual needs. Copyright 2001 John Wiley & Sons, Ltd.

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Year:  2001        PMID: 11439422     DOI: 10.1002/sim.848

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  20 in total

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2.  Bayesian Models and Decision Algorithms for Complex Early Phase Clinical Trials.

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3.  The Impact of Early-Phase Trial Design in the Drug Development Process.

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5.  A Bayesian adaptive design for cancer phase I trials using a flexible range of doses.

Authors:  Mourad Tighiouart; Galen Cook-Wiens; André Rogatko
Journal:  J Biopharm Stat       Date:  2017-10-06       Impact factor: 1.051

6.  Risk-group-specific dose finding based on an average toxicity score.

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7.  Dose escalation with overdose control using a quasi-continuous toxicity score in cancer Phase I clinical trials.

Authors:  Zhengjia Chen; Mourad Tighiouart; Jeanne Kowalski
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8.  Statistical Methods for Clinical Trial Designs in the New Era of Cancer Treatment.

Authors:  Beibei Guo; Rui Zhang
Journal:  Biostat Biom Open Access J       Date:  2018-02-28

9.  A Bayesian adaptive phase I/II clinical trial design with late-onset competing risk outcomes.

Authors:  Yifei Zhang; Sha Cao; Chi Zhang; Ick Hoon Jin; Yong Zang
Journal:  Biometrics       Date:  2020-08-08       Impact factor: 1.701

10.  The Integrated Web Portal for Escalation with Overdose Control (EWOC).

Authors:  Haibin Wang; Mourad Tighiouart; Shao-Chi Huang; Dror Berel; Galen Cook-Wiens; Catherine Bresee; Quanlin Li; André Rogatko
Journal:  Open Med Inform J       Date:  2013-05-31
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