Literature DB >> 10660268

Trial summary software.

W N Strang1, M Cucherat, D Yzebe, J P Boissel.   

Abstract

Medical practice is most strongly founded when based on the results of well conducted clinical trials. Clinical trial results normally enter the domain of medical knowledge and practice through their publication in scientific journals. This in itself poses problems of accessibility and selection. The results of this is a slow and selective diffusion of new medical facts which has a consequent cost in human lives and human suffering. In an attempt to shorten this information path initiatives such as the Cochrane collaboration produce and maintain systematic reviews by speciality of the current state of knowledge. The ability to store a representation of a clinical trial in a standard form seems to us to be a necessary condition for the efficient and reproducible preparation of systematic reviews. Furthermore the consequent increased accessibility of research results due to the existence of the summaries would itself be of great use. In this aim a relational database client server system was developed and we publish here the results of our preliminary findings, including the data model, which we feel is an important contribution to the future discussion and development of computer based representations of clinical trial protocols and results and their use in clinical decision making.

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Mesh:

Year:  2000        PMID: 10660268     DOI: 10.1016/s0169-2607(98)00094-7

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


  3 in total

1.  Design and implementation of a national clinical trials registry.

Authors:  A T McCray; N C Ide
Journal:  J Am Med Inform Assoc       Date:  2000 May-Jun       Impact factor: 4.497

2.  Bridging the gap between therapeutic research results and physician prescribing decisions: knowledge transfer, a prerequisite to knowledge translation.

Authors:  Jean-Pierre Boissel; Emmanuel Amsallem; Michel Cucherat; Patrice Nony; Margaret C Haugh
Journal:  Eur J Clin Pharmacol       Date:  2004-09-16       Impact factor: 2.953

3.  The Primary Care Research Object Model (PCROM): a computable information model for practice-based primary care research.

Authors:  Stuart M Speedie; Adel Taweel; Ida Sim; Theodoros N Arvanitis; Brendan Delaney; Kevin A Peterson
Journal:  J Am Med Inform Assoc       Date:  2008-06-25       Impact factor: 4.497

  3 in total

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