Centrally authorised medicinal products for human use ( red = withdrawn / not authorised; * = calculated or derived column; 'orphan', 'conditional' and 'paediatric indication 4.1' = current status, may change or may have changed). Perl regular expressions can be used, e.g. ^(?!.*diabetes).*$ to filter out diabetes. While re-ordering a column, do not use a filter in it.
Imposed post-authorisation studies (specific obligation in case of a medicinal product with a conditional marketing authorisation, efficacy [PAES] or safety [PASS] study). Note there can be many errors due to information extraction: missing studies, erroneous descriptions, wrong due dates. Also note that completed studies are no more extractable.
Assessment reports (initial or extension of indication) and Summary of Product Characteristics (SmPCs) can be searched for any text. Paragraphs of the reports are listed as context, with a link to the document. Clicking on 'View' opens the document at the concerned page (and, in Firefox, with the search expression highlighted). The search is case-independent. Further information on how to compose search expressions is here .
Enter an expression and click 'Search...' to go through the full text of all reports in this webapp at this time (see 'About').
This webapp shows information that is extracted from web pages made publicly available by the European Medicines Agency (EMA) on their website. The information in this webapp is updated automatically and on a daily basis. EMA EPARs can be found under this link. Withdrawn applications may not be included in this webapp, but all can be found under this link.
The European Medicines Agency (EMA) is acknowledged as a source of information used in this webapp and should always be acknowledged by users. Consult the European Medicines Agency copyright and limited reproduction notices here. The correctness of information shown in this webapp is not verified and the information is not guaranteed to be correct. Extraction of information from PDF files and web pages (such as the indication column) is error-prone, and the information should be used cautiously. Users have the responsibility to verify the information they use.
The U.S. National Library of Medicine (NLM) is acknowledged as the source of the Medical Subject Headings (MeSH) Resource Data Framework (RDF). The MeSH API has been used to identify root terms of EMA therapeutic area terms.
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