Joel M Kremer1. 1. Albany Medical College, The Center for Rheumatology, Albany, New York 12203, USA. jkremer@joint-docs.com
Abstract
BACKGROUND: 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. METHODS: The structure, governance, content, context and developmental plan of the CORRONA database are described. RESULTS: 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. CONCLUSION: 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.
BACKGROUND: 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. METHODS: The structure, governance, content, context and developmental plan of the CORRONA database are described. RESULTS: 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. CONCLUSION: 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.
Authors: Jie Zhang; Ying Shan; George Reed; Joel Kremer; Jeffrey D Greenberg; Scott Baumgartner; Jeffrey R Curtis Journal: Arthritis Care Res (Hoboken) Date: 2011-12 Impact factor: 4.794
Authors: Jeffrey R Curtis; Archana Jain; Johan Askling; S Louis Bridges; Loreto Carmona; William Dixon; Axel Finckh; Kimme Hyrich; Jeffrey D Greenberg; Joel Kremer; Joachim Listing; Kaleb Michaud; Ted Mikuls; Nancy Shadick; Daniel H Solomon; Michael E Weinblatt; Fred Wolfe; Angela Zink Journal: Semin Arthritis Rheum Date: 2010-08 Impact factor: 5.532
Authors: Hilal Maradit Kremers; Elena Myasoedova; Cynthia S Crowson; Guergana Savova; Sherine E Gabriel; Eric L Matteson Journal: Rheumatology (Oxford) Date: 2010-07-13 Impact factor: 7.580
Authors: Daniel H Solomon; Joel Kremer; Jeffrey R Curtis; Marc C Hochberg; George Reed; Peter Tsao; Michael E Farkouh; Soko Setoguchi; Jeffrey D Greenberg Journal: Ann Rheum Dis Date: 2010-05-05 Impact factor: 19.103
Authors: Damini Jawaheer; Susan Messing; George Reed; Veena K Ranganath; Joel M Kremer; James S Louie; Dinesh Khanna; Jeffrey D Greenberg; Daniel E Furst Journal: Arthritis Care Res (Hoboken) Date: 2012-12 Impact factor: 4.794
Authors: Jeffrey R Curtis; Lang Chen; Maria I Danila; Kenneth G Saag; Kathy L Parham; John J Cush Journal: J Rheumatol Date: 2017-11-15 Impact factor: 4.666
Authors: Dimitrios A Pappas; Ani John; Jeffrey R Curtis; George W Reed; Chitra Karki; Robert Magner; Joel M Kremer; Ashwini Shewade; Jeffrey D Greenberg Journal: Rheumatol Ther Date: 2016-02-08
Authors: J R Curtis; T Beukelman; A Onofrei; S Cassell; J D Greenberg; A Kavanaugh; G Reed; V Strand; J M Kremer Journal: Ann Rheum Dis Date: 2010-01 Impact factor: 19.103
Authors: Dimitrios A Pappas; Cheongeun Oh; Robert M Plenge; Joel M Kremer; Jeffrey D Greenberg Journal: Inflammation Date: 2013-04 Impact factor: 4.092