What's new?

Current version:

V2.0

• In this version, the user is able to search for clinical trials with or without results and view the results of a clinical trial that have been provided by the sponsor.

Previous versions:

v1.2

The EU Clinical Trials Register v1.2 upgrade was a non-functional release.

v1.1

The following enhancements were made to the EU Clinical Trials Register for v1.1:

• Download function – It is now possible to download clinical trial data in plain text format.
• Bookmarkable URLs – Individual links to Clinical Trial pages and searches can now be saved as bookmarks or copy-pasted from the browser’s address bar and shared with others.
• Search filter enhancements – New search filters allow searches for trials where the condition being studied is a rare disease and for trials by specific gender. In addition, search filters now support multiple selections.
• Support for browser Back/Forward buttons – The EU Clinical Trials Register now fully supports the use of browser Back/Forward buttons.
• Improved user interface – Other changes have been made to the user interface to make the Register easier to use including simplified scrolling and improved pagination of search results.
• Thesaurus enabled search - The EU Clinical Trials Register now makes use of thesaurus enabled searching to expand synonyms of certain known terms in order to obtain better search results. The thesaurus searching uses health and biomedical terms and other data provided in the Unified Medical Language System (UMLS)® Metathesaurus®. The EMA is a Licensee authorised to use the UMLS®.
  Note: Some material in the UMLS® Metathesaurus® is from copyrighted sources of the respective copyright holders. Users of the UMLS® Metathesaurus® are solely responsible for compliance with any copyright, patent or trademark restrictions and are referred to the copyright, patent or trademark notices appearing in the original sources, all of which are hereby incorporated by reference.
  For more information please visit: http://www.nlm.nih.gov/research/umls/