Journal Title
Title of Journal: Health Care Manag Sci
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Abbravation: Health Care Management Science
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Authors: Chaitra Gopalappa Selen AydoganCremaschi Tapas K Das Seza Orcun
Publish Date: 2010/10/05
Volume: 14, Issue: 1, Pages: 1-21
Abstract
According to the American Cancer Society colorectal cancer CRC is the third most common cause of cancer related deaths in the United States Experts estimate that about 85 of CRCs begin as precancerous polyps early detection and treatment of which can significantly reduce the risk of CRC Hence it is imperative to develop populationwide intervention strategies for early detection of polyps Development of such strategies requires precise values of populationspecific rates of incidence of polyp and its progression to cancerous stage There has been a considerable amount of research in recent years on developing screening based CRC intervention strategies However these are not supported by populationspecific mathematical estimates of progression rates This paper addresses this need by developing a probability model that estimates polyp progression rates considering race and family history of CRC note that it is ethically infeasible to obtain polyp progression rates through clinical trials We use the estimated rates to simulate the progression of polyps in the population of the State of Indiana and also the population of a clinical trial conducted in the State of Minnesota which was obtained from literature The results from the simulations are used to validate the probability modelThe authors gratefully acknowledge Drs Brad Doebbeling and David Haggstrom Veterans Affairs at Indiana University for their medical guidance and expertise to the project The support of Dr Joseph F Pekny Purdue University and Lori Nola Losee Regenstrief Institute is also appreciated This research is part of the Cancer Care Engineering project http//ccehuborg/ and was partly supported by a grant from Regenstrief Foundation Indianapolis Indiana
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