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PMID: 16338211 Published · ppublish English Journal Article Review

The CORRONA database.

Autoimmunity reviews ·Vol. 5 ·No. 1 ·2006-01-00 ·Pages 46-54

Kremer JM

Abstract

Large, long-term databases are needed in order to provide information on the safety and efficacy of new agents used in the treatment of rheumatoid arthritis (RA) and psoriatic arthritis (PsA). These databases can provide data which is well beyond what is available from industry-sponsored investigations. The structure, governance, content, context and developmental plan of the CORRONA database are described. The CORRONA database has grown from start up in 2002 to the largest independent database in North America which collects data from both rheumatologists and patients at the time of a clinical encounter. Data are collected as often as every 3 months in RA and every 6 months in PsA. As of the time of this writing, the CORRONA database consists of approximately 9000 patients with RA and 1000 with PsA. Data can be used to elucidate toxicities found in frequencies which would be considerably less common than can be uncovered in industry-sponsored investigations. In addition, actual prescribing patterns and responses in clinical practice can be investigated and described. After 3 years of data collection, the CORRONA database is now appropriately able to make significant contributions to our understanding of the safety, efficacy of drugs, as well as demographic, and socioeconomic profiles of patients with RA and PsA. It has evolved from a nascent database to a mature one poised to make significant contributions.

MeSH Terms
Antirheumatic Agents/therapeutic use Arthritis, Psoriatic/drug therapy Arthritis, Rheumatoid/drug therapy Databases, Factual/trends Drug Industry/trends Humans
Chemicals
Antirheumatic Agents
Authors & Affiliations
1 authors, click to expand affiliations / ORCID
Kremer Joel M
Albany Medical College, The Center for Rheumatology, Albany, New York 12203, USA. [email protected]
Article Info
Journal
Autoimmunity reviews
Abbr.
Autoimmun Rev
ISSN
1568-9972
Published
2006-01-00
Epub
2005-00-30
Pages
46-54
Language
English
Region
Netherlands
NLM ID
101128967
Subset
IM
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