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Legislation for trial registration and data transparency

Overview of attention for article published in Trials, May 2010
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1 policy source
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5 Wikipedia pages

Citations

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27 Dimensions

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52 Mendeley
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Title
Legislation for trial registration and data transparency
Published in
Trials, May 2010
DOI 10.1186/1745-6215-11-64
Pubmed ID
Authors

Zhao-Xiang Bian, Tai-Xiang Wu

Abstract

Public confidence in clinical trials has been eroded by data suppression, misrepresentation and manipulation. Although various attempts have been made to achieve universal trial registration- e.g., Declaration of Helsinki, WHO clinical Trial Registry Platform (WHO ICTRP), the International Committee of Medical Journal Editors requirement- they have not succeeded, probably because they lack the enough power of enforcement.Legislation appears to be the most efficient and effective means to ensure that all researchers register their trials and disseminate their data accurately and in a timely manner. We propose that a global network be established. This could be accomplished in two steps. The first step is to legislate about trial registration and data transparency, such as USA's FDAAA Act 2007; and the second step to establish a global network to ensure uniform, international consistency in policy and enforcement of trial registration and data transparency.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 4%
United States 1 2%
China 1 2%
France 1 2%
Unknown 47 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 25%
Librarian 6 12%
Student > Ph. D. Student 5 10%
Student > Master 5 10%
Student > Bachelor 4 8%
Other 14 27%
Unknown 5 10%
Readers by discipline Count As %
Medicine and Dentistry 24 46%
Social Sciences 6 12%
Agricultural and Biological Sciences 3 6%
Nursing and Health Professions 3 6%
Computer Science 2 4%
Other 5 10%
Unknown 9 17%