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Published in: Calcified Tissue International 5/2010

Open Access 01-11-2010 | REVIEW

Osteoporosis Therapies: Evidence from Health-Care Databases and Observational Population Studies

Author: Stuart L. Silverman

Published in: Calcified Tissue International | Issue 5/2010

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Abstract

Osteoporosis is a well-recognized disease with severe consequences if left untreated. Randomized controlled trials are the most rigorous method for determining the efficacy and safety of therapies. Nevertheless, randomized controlled trials underrepresent the real-world patient population and are costly in both time and money. Modern technology has enabled researchers to use information gathered from large health-care or medical-claims databases to assess the practical utilization of available therapies in appropriate patients. Observational database studies lack randomization but, if carefully designed and successfully completed, can provide valuable information that complements results obtained from randomized controlled trials and extends our knowledge to real-world clinical patients. Randomized controlled trials comparing fracture outcomes among osteoporosis therapies are difficult to perform. In this regard, large observational database studies could be useful in identifying clinically important differences among therapeutic options. Database studies can also provide important information with regard to osteoporosis prevalence, health economics, and compliance and persistence with treatment. This article describes the strengths and limitations of both randomized controlled trials and observational database studies, discusses considerations for observational study design, and reviews a wealth of information generated by database studies in the field of osteoporosis.
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Metadata
Title
Osteoporosis Therapies: Evidence from Health-Care Databases and Observational Population Studies
Author
Stuart L. Silverman
Publication date
01-11-2010
Publisher
Springer-Verlag
Published in
Calcified Tissue International / Issue 5/2010
Print ISSN: 0171-967X
Electronic ISSN: 1432-0827
DOI
https://doi.org/10.1007/s00223-010-9400-1

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