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Related Experiment Videos

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

Y Kenjo1, Y Antoku, K Akazawa

  • 1Department of Medical Information Science, Faculty of Medicine, Kyushu University Maidashi 3-1-1, Higashi-ku, Fukuoka, Japan. kenjo@info.med.kyushu-u.ac.jp

Computer Methods and Programs in Biomedicine
|March 4, 2000
PubMed
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This study introduces a sophisticated system for precise patient random allocation in multi-institutional clinical trials. It effectively balances prognostic factors and group numbers, enhancing trial integrity for cancer research.

Area of Science:

  • Clinical Trials
  • Biostatistics
  • Medical Informatics

Background:

  • Random allocation is crucial for balancing prognostic factors in clinical trials.
  • Multi-institutional trials require independent allocation centers to maintain integrity.
  • Existing methods may face challenges with small patient numbers or within-institution balancing.

Purpose of the Study:

  • To develop and implement a sophisticated system for exact random allocation of patients in clinical trials.
  • To ensure balanced distribution of prognostic factors and patient numbers across treatment groups and institutions.

Main Methods:

  • The system employs the minimization method (Pocock) for balancing prognostic factors.
  • Zelen's method is integrated to balance patient numbers within each institution.

Related Experiment Videos

  • A CGI script using PERL facilitates the random allocation and potential data entry functions.

    • Main Results:

    • The system achieves exact random allocation, balancing prognostic factors even with small patient cohorts.
    • It successfully balances patient numbers within institutions using Zelen's method.
    • The system is effectively utilized in thirteen multi-institutional cancer trials in Japan.

    Conclusions:

    • This novel system enhances the reliability and efficiency of patient allocation in complex clinical trials.
    • Its flexible design allows for integration with data entry, streamlining trial management.
    • The system's successful application in multiple cancer trials demonstrates its practical value.