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Computer modeling of diabetes and its complications - A report on the Fourth Mount Hood Challenge Meeting

Citation

Palmer, AJ and Roze, S and Valentine, WJ and McEwan, P and Gillett, M and Holmes, M and Clarke, P and Stevens, R and Gray, AM and Coleman, R and Sorensen, S and Muller, E and Walzer, S and Eddy, DM and Kahn, R and Bagust, A and Brown, J and Brennan, A and Chan, W and Russell, A and Hoerger, T and Hicks, K and Casciano, R and Bergemann, R, Mt Hood 4 Modelling Group , Computer modeling of diabetes and its complications - A report on the Fourth Mount Hood Challenge Meeting, Diabetes Care, 30, (6) pp. 1638-1646. ISSN 0149-5992 (2007) [Refereed Article]

DOI: doi:10.2337/dc07-9919

Abstract

Computer simulation models are mathematical equations combined in a structured framework to represent some real or hypothetical system. One of their uses is to allow the projection of short-term data from clinical trials to evaluate clinical outcomes and costs over a long-term period. This technology is becoming increasingly important to assist decision making in modern medicine in situations where there is a paucity of long-term clinical trial data, as recently acknowledged in the American Diabetes Association Consensus Panel Guidelines for Computer Modeling of Diabetes and its Complications. The Mount Hood Challenge Meetings provide a forum for computer modelers of diabetes to discuss and compare models and identify key areas of future development to advance the field. The Fourth Mount Hood Challenge in 2004 was the first meeting of its kind to ask modelers to perform simulations of outcomes for patients in published clinical trials, allowing comparison against "real life" data. Eight modeling groups participated in the challenge. Each group was given three of the following challenges: to simulate a trial of type 2 diabetes (CARDS [Collaborative Atorvastatin Diabetes Study]); to simulate a trial of type 1 diabetes (DCCT [Diabetes Control and Complications Trial]); and to calculate outcomes for a hypothetical, precisely specified patient (cross-model validation). The results of the models varied from each other and for methodological reasons, in some cases, from the published trial data in important ways. This approach of performing systematic comparisons and validation exercises has enabled the identification of key differences among the models, as well as their possible causes and directions for improvement in the future. © 2007 by the American Diabetes Association.

Item Details

Item Type:Refereed Article
Research Division:Economics
Research Group:Applied Economics
Research Field:Health Economics
Objective Division:Health
Objective Group:Health and Support Services
Objective Field:Health Policy Economic Outcomes
Author:Palmer, AJ (Professor Andrew Palmer)
ID Code:74643
Year Published:2007
Web of Science® Times Cited:97
Deposited By:Research Division
Deposited On:2011-12-09
Last Modified:2011-12-13
Downloads:0

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