Literature DB >> 11032099

Significant upper gastrointestinal events associated with conventional NSAID versus celecoxib.

J L Goldstein1.   

Abstract

Despite their substantial clinical benefits in the management of rheumatoid arthritis, osteoarthritis, pain, and other musculoskeletal complaints, conventional nonsteroidal antiinflammatory drugs (NSAID) are associated with significant toxicities that can frequently limit their use. The most common and noteworthy adverse effects of NSAID are gastrointestinal (GI), and range from dyspeptic symptoms to ulcers and serious ulcer complications. The upper GI toxicities associated with the use of conventional NSAID led to the search for medications that were as clinically effective as these agents, but with a significantly improved GI safety profile. It is now known that the constitutively expressed isoenzyme cyclooxygenase (COX)-1 catalyzes the synthesis of prostanoids that help to regulate normal physiologic processes, including GI mucosa protection, whereas the inducible isoenzyme COX-2 leads to the generation of prostaglandins that mediate inflammation, pain, and fever. This knowledge has led to the development of new compounds that, at therapeutic concentrations, inhibit COX-2 without affecting COX-1. The first COX-2 targeted agent approved by the US Food and Drug Administration (FDA) was celecoxib. This article reviews the risks of GI complications associated with conventional NSAID use and compares these risks with that of the new COX-2 specific inhibitor celecoxib.

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Year:  2000        PMID: 11032099

Source DB:  PubMed          Journal:  J Rheumatol Suppl        ISSN: 0380-0903


  4 in total

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Journal:  Osteoarthritis Cartilage       Date:  2014-01-31       Impact factor: 6.576

3.  Suppression of the inflammatory response in experimental arthritis is mediated via estrogen receptor alpha but not estrogen receptor beta.

Authors:  John Dulos; Peter Vijn; Cindy van Doorn; Claudia L Hofstra; Desiree Veening-Griffioen; Jan de Graaf; Fred A Dijcks; Annemieke M H Boots
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4.  Effects of aggregation of drug and diagnostic codes on the performance of the high-dimensional propensity score algorithm: an empirical example.

Authors:  Hoa V Le; Charles Poole; M Alan Brookhart; Victor J Schoenbach; Kathleen J Beach; J Bradley Layton; Til Stürmer
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  4 in total

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