Literature DB >> 10699684

An easily customized, random allocation system using the minimization method for multi-institutional clinical trials.

Y Kenjo1, Y Antoku, K Akazawa, E Hanada, N Kinukawa, Y Nose.   

Abstract

In a randomized clinical trial, random allocation of patients to treatment groups should be done to balance in the distribution of prognostic factors. Random allocation in a multi-institutional randomized clinical trial is conducted by a coordinating center, independent of the medical institution the attending doctor uses for his/her practice. This study provides a sophisticated system for doing an exact random allocation of patients to treatment groups. The minimization method proposed by Pocock was applied to this system to balance the distribution of prognostic factors between two treatment groups, even when the number of registered patients is relatively small (S.J. Pocock, Allocation of patients to treatment in clinical trial, Biometrics 35 (1979) 183-197). Furthermore, Zelen's method is used to balance the number of patients allocated to the two groups within each institution (M. Zelen, The randomization and stratification of patients to clinical trials, J. Chron. Dis. 27 (1974) 365-375.). This system was created by the 'PERL’ language for writing common gateway interface (CGI) script, and can therefore, be easily extended to include data entry function by attending doctors as well as the random allocation function. This system is being used effectively in thirteen multi-institutional randomized clinical trials for stomach, colon-rectum and breast cancers in Japan.

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Year:  2000        PMID: 10699684     DOI: 10.1016/s0169-2607(99)00047-4

Source DB:  PubMed          Journal:  Comput Methods Programs Biomed        ISSN: 0169-2607            Impact factor:   5.428


  6 in total

1.  Second-order interactions with the treatment groups in controlled clinical trials.

Authors:  Shyang-Yun Pamela K Shiao; Chul W Ahn; Kouhei Akazawa
Journal:  Comput Methods Programs Biomed       Date:  2007-02-14       Impact factor: 5.428

2.  OxMaR: open source free software for online minimization and randomization for clinical trials.

Authors:  Christopher A O'Callaghan
Journal:  PLoS One       Date:  2014-10-29       Impact factor: 3.240

3.  Development of a minimization instrument for allocation of a hospital-level performance improvement intervention to reduce waiting times in Ontario emergency departments.

Authors:  Chad Andrew Leaver; Astrid Guttmann; Merrick Zwarenstein; Brian H Rowe; Geoff Anderson; Therese Stukel; Brian Golden; Robert Bell; Dante Morra; Howard Abrams; Michael J Schull
Journal:  Implement Sci       Date:  2009-06-08       Impact factor: 7.327

4.  Repetitive transcranial magnetic stimulation (rTMS) in autism spectrum disorder: protocol for a multicentre randomised controlled clinical trial.

Authors:  Peter G Enticott; Karen Barlow; Adam J Guastella; Melissa K Licari; Nigel C Rogasch; Christel M Middeldorp; Scott R Clark; Ann-Maree Vallence; Kelsie A Boulton; Ian B Hickie; Andrew J O Whitehouse; Cherrie Galletly; Gail A Alvares; Hakuei Fujiyama; Helen Heussler; Jeffrey M Craig; Melissa Kirkovski; Natalie T Mills; Nicole J Rinehart; Peter H Donaldson; Talitha C Ford; Karen Caeyenberghs; Natalia Albein-Urios; Soukayna Bekkali; Paul B Fitzgerald
Journal:  BMJ Open       Date:  2021-07-07       Impact factor: 2.692

5.  An easily accessible Web-based minimization random allocation system for clinical trials.

Authors:  Lan Xiao; Qiwen Huang; Veronica Yank; Jun Ma
Journal:  J Med Internet Res       Date:  2013-07-19       Impact factor: 5.428

6.  MACT: a manageable minimization allocation system.

Authors:  Yan Cui; Huaien Bu; Hongwu Wang; Shizhong Liao
Journal:  Comput Math Methods Med       Date:  2014-02-23       Impact factor: 2.238

  6 in total

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