Literature DB >> 23856381

Up-and-down designs for phase I clinical trials.

Suyu Liu1, Chunyan Cai, Jing Ning.   

Abstract

Various up-and-down designs have been proposed to improve the operating characteristics of the traditional "3 + 3" design, but they have been of limited use in practice. A major impediment to the adoption of the improved up-and-down designs is a lack of general guidance and a comprehensive assessment of the operating characteristics of these designs under practical clinical settings. To fill this gap, we review six up-and-down designs: the "3 + 3" design, accelerated titration design, biased coin design, k-in-a-row design, group up-and-down design and cumulative group up-and-down design. We conduct comprehensive simulation studies to evaluate their operating characteristics under various practical settings, and compare their performance to a theoretical optimal bound of nonparametric designs. The results show that the cumulative group up-and-down design has the best overall performance in terms of selecting the maximum tolerated dose (MTD), assigning patients to the MTD and patient safety. Its performance is generally close to the upper bound of nonparametric designs, but improvement seems possible in some cases.
© 2013.

Entities:  

Keywords:  Dose finding; Maximum tolerated dose; Optimal design; Upper bound

Mesh:

Year:  2013        PMID: 23856381      PMCID: PMC4217164          DOI: 10.1016/j.cct.2013.07.002

Source DB:  PubMed          Journal:  Contemp Clin Trials        ISSN: 1551-7144            Impact factor:   2.226


  14 in total

1.  Improved up-and-down designs for phase I trials.

Authors:  Anastasia Ivanova; Aliakbar Montazer-Haghighi; Sri Gopal Mohanty; Stephen D Durham
Journal:  Stat Med       Date:  2003-01-15       Impact factor: 2.373

2.  Statistical properties of the traditional algorithm-based designs for phase I cancer clinical trials.

Authors:  Y Lin; W J Shih
Journal:  Biostatistics       Date:  2001-06       Impact factor: 5.899

3.  Non-parametric optimal design in dose finding studies.

Authors:  John O'Quigley; Xavier Paoletti; Jean Maccario
Journal:  Biostatistics       Date:  2002-03       Impact factor: 5.899

4.  Translation of innovative designs into phase I trials.

Authors:  André Rogatko; David Schoeneck; William Jonas; Mourad Tighiouart; Fadlo R Khuri; Alan Porter
Journal:  J Clin Oncol       Date:  2007-11-01       Impact factor: 44.544

5.  Dose finding for continuous and ordinal outcomes with a monotone objective function: a unified approach.

Authors:  Anastasia Ivanova; Se Hee Kim
Journal:  Biometrics       Date:  2008-05-13       Impact factor: 2.571

6.  Continual reassessment method: a practical design for phase 1 clinical trials in cancer.

Authors:  J O'Quigley; M Pepe; L Fisher
Journal:  Biometrics       Date:  1990-03       Impact factor: 2.571

7.  Design and analysis of phase I clinical trials.

Authors:  B E Storer
Journal:  Biometrics       Date:  1989-09       Impact factor: 2.571

8.  A comparison of two phase I trial designs.

Authors:  E L Korn; D Midthune; T T Chen; L V Rubinstein; M C Christian; R M Simon
Journal:  Stat Med       Date:  1994-09-30       Impact factor: 2.373

9.  Accelerated titration designs for phase I clinical trials in oncology.

Authors:  R Simon; B Freidlin; L Rubinstein; S G Arbuck; J Collins; M C Christian
Journal:  J Natl Cancer Inst       Date:  1997-08-06       Impact factor: 13.506

10.  The accelerated biased coin up-and-down design in phase I trials.

Authors:  Mario Stylianou; Dean A Follmann
Journal:  J Biopharm Stat       Date:  2004-02       Impact factor: 1.051

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  11 in total

1.  Bayesian Optimal Interval Design: A Simple and Well-Performing Design for Phase I Oncology Trials.

Authors:  Ying Yuan; Kenneth R Hess; Susan G Hilsenbeck; Mark R Gilbert
Journal:  Clin Cancer Res       Date:  2016-07-12       Impact factor: 12.531

2.  On the relative efficiency of model-assisted designs: a conditional approach.

Authors:  Ruitao Lin; Ying Yuan
Journal:  J Biopharm Stat       Date:  2019-06-29       Impact factor: 1.051

3.  The association of the optimal bolus of dexmedetomidine with its favourable haemodynamic outcomes in adult surgical patients under general anaesthesia.

Authors:  Cheng-Yu Wang; Fang Chen; Junzheng Wu; Shu-Ying Fu; Xi-Mou Xu; Jia Chen; Yi-Fei Jiang; Qingquan Lian; Hua-Cheng Liu
Journal:  Br J Clin Pharmacol       Date:  2019-12-12       Impact factor: 4.335

4.  Bosutinib plus capecitabine for selected advanced solid tumours: results of a phase 1 dose-escalation study.

Authors:  S J Isakoff; D Wang; M Campone; A Calles; E Leip; K Turnbull; N Bardy-Bouxin; L Duvillié; E Calvo
Journal:  Br J Cancer       Date:  2014-10-07       Impact factor: 7.640

5.  A placebo-controlled Bayesian dose finding design based on continuous reassessment method with application to stroke research.

Authors:  Chunyan Cai; Mohammad H Rahbar; Md Monir Hossain; Ying Yuan; Nicole R Gonzales
Journal:  Contemp Clin Trials Commun       Date:  2017-05-06

6.  The Median Effective Analgesic Concentration of Ropivacaine in Sciatic Nerve Block Guided by Ultrasound After Arthroscopic Anterior Cruciate Ligament Reconstruction: A Double-Blind Up-Down Concentration-Finding Study.

Authors:  Cheng Xu; Fei Gu; Chengyu Wang; Yang Liu; Rui Chen; Quanhong Zhou; Jie Lu
Journal:  Front Med (Lausanne)       Date:  2022-05-06

7.  Systematic comparison of the statistical operating characteristics of various Phase I oncology designs.

Authors:  Revathi Ananthakrishnan; Stephanie Green; Mark Chang; Gheorghe Doros; Joseph Massaro; Michael LaValley
Journal:  Contemp Clin Trials Commun       Date:  2016-11-24

8.  Overall success rate of a safe and efficacious drug: Results using six phase 1 designs, each followed by standard phase 2 and 3 designs.

Authors:  Amy S Ruppert; Abigail B Shoben
Journal:  Contemp Clin Trials Commun       Date:  2018-08-24

9.  Challenges to implement minimum effective volume in regional anesthesia.

Authors:  Sudhakar Subramani; Shuchita Garg
Journal:  J Anaesthesiol Clin Pharmacol       Date:  2019 Jan-Mar

Review 10.  A Brief Overview of Adaptive Designs for Phase I Cancer Trials.

Authors:  Anshul Saxena; Muni Rubens; Venkataraghavan Ramamoorthy; Zhenwei Zhang; Md Ashfaq Ahmed; Peter McGranaghan; Sankalp Das; Emir Veledar
Journal:  Cancers (Basel)       Date:  2022-03-18       Impact factor: 6.639

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