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The General Practice Research Database: Role in Pharmacovigilance

Overview
Journal Drug Saf
Specialties Pharmacology
Toxicology
Date 2004 Sep 16
PMID 15366975
Citations 54
Authors
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Abstract

The General Practice Research Database (GPRD) is the world's largest computerised database of anonymised longitudinal clinical records from primary care. The database already has an international reputation in the field of drug safety signal evaluation where the results of GPRD-based pharmacoepidemiological studies have been used to inform regulatory pharmacovigilance decision making. The characteristics and richness of the data are such that the GPRD is likely to prove a key data resource for the proactive pharmacovigilance anticipated in risk management and pharmacovigilance plans. An update of recent developments to the database and new data available from it -- including spontaneously recorded suspected adverse drug reactions -- is presented in the article, with a description of how the data can be used to support a variety of pharmacovigilance applications. The possibility of using the GPRD in signal detection and assessment of the impact of pharmacovigilance activities in the future is also discussed.

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References
1.
Edwards I . Adverse drug reactions: finding the needle in the haystack. BMJ. 1997; 315(7107):500. PMC: 2127377. DOI: 10.1136/bmj.315.7107.500. View

2.
Garcia Rodriguez L, Jick H . Risk of upper gastrointestinal bleeding and perforation associated with individual non-steroidal anti-inflammatory drugs. Lancet. 1994; 343(8900):769-72. DOI: 10.1016/s0140-6736(94)91843-0. View

3.
Neutel C . The status of pharmacoepidemiology in a regulatory environment. Pharmacoepidemiol Drug Saf. 2008; 9(1):71-4. DOI: 10.1002/(SICI)1099-1557(200001/02)9:1<71::AID-PDS455>3.0.CO;2-Y. View

4.
Jick S, Terris B . Anticonvulsants and congenital malformations. Pharmacotherapy. 1997; 17(3):561-4. View

5.
Hauben M, Zhou X . Quantitative methods in pharmacovigilance: focus on signal detection. Drug Saf. 2003; 26(3):159-86. DOI: 10.2165/00002018-200326030-00003. View