Literature DB >> 23796302

Computer modeling of diabetes and its complications: a report on the Fifth Mount Hood challenge meeting.

Andrew J Palmer1, Philip Clarke, Alastair Gray, Jose Leal, Adam Lloyd, David Grant, James Palmer, Volker Foos, Mark Lamotte, William Hermann, Jacob Barhak, Michael Willis, Ruth Coleman, Ping Zhang, Phil McEwan, Jonathan Betz Brown, Ulf Gerdtham, Elbert Huang, Andrew Briggs, Katarina Steen Carlsson, William Valentine.   

Abstract

OBJECTIVES: The Mount Hood Challenge meetings provide a forum for computer modelers of diabetes to discuss and compare models, to assess predictions against data from clinical trials and other studies, and to identify key future developments in the field. This article reports the proceedings of the Fifth Mount Hood Challenge in 2010.
METHODS: Eight modeling groups participated. Each group was given four modeling challenges to perform (in type 2 diabetes): to simulate a trial of a lipid-lowering intervention (The Atorvastatin Study for Prevention of Coronary Heart Disease Endpoints in Non-Insulin-Dependent Diabetes Mellitus [ASPEN]), to simulate a trial of a blood glucose-lowering intervention (Action in Diabetes and Vascular Disease: Preterax and Diamicron Modified Release Controlled Evaluation [ADVANCE]), to simulate a trial of a blood pressure-lowering intervention (Cardiovascular Risk in Diabetes [ACCORD]), and (optional) to simulate a second trial of blood glucose-lowering therapy (ACCORD). Model outcomes for each challenge were compared with the published findings of the respective trials.
RESULTS: The results of the models varied from each other and, in some cases, from the published trial data in important ways. In general, the models performed well in terms of predicting the relative benefit of interventions, but performed less well in terms of quantifying the absolute risk of complications in patients with type 2 diabetes. Methodological challenges were highlighted including matching trial end-point definitions, the importance of assumptions concerning the progression of risk factors over time, and accurately matching the patient characteristics from each trial.
CONCLUSIONS: The Fifth Mount Hood Challenge allowed modelers, through systematic comparison and validation exercises, to identify important differences between models, address key methodological challenges, and discuss avenues of research to improve future diabetes models.
Copyright © 2013 International Society for Pharmacoeconomics and Outcomes Research (ISPOR). Published by Elsevier Inc. All rights reserved.

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Year:  2013        PMID: 23796302     DOI: 10.1016/j.jval.2013.01.002

Source DB:  PubMed          Journal:  Value Health        ISSN: 1098-3015            Impact factor:   5.725


  48 in total

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3.  Embracing the science of value in health.

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Authors:  L Si; T M Winzenberg; Q Jiang; A J Palmer
Journal:  Osteoporos Int       Date:  2015-01-08       Impact factor: 4.507

5.  Development and validation of Risk Equations for Complications Of type 2 Diabetes (RECODe) using individual participant data from randomised trials.

Authors:  Sanjay Basu; Jeremy B Sussman; Seth A Berkowitz; Rodney A Hayward; John S Yudkin
Journal:  Lancet Diabetes Endocrinol       Date:  2017-08-10       Impact factor: 32.069

6.  Predictive model to identify the risk of losing protective sensibility of the foot in patients with diabetes mellitus.

Authors:  Esther Chicharro-Luna; Francisco José Pomares-Gómez; Ana Belen Ortega-Ávila; Ana Marchena-Rodríguez; José Francisco Javier Blanquer-Gregori; Emmanuel Navarro-Flores
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7.  The validity of cost-effectiveness analyses of tight glycemic control. A systematic survey of economic evaluations of pharmacological interventions in patients with type 2 diabetes.

Authors:  Francisco J Barrera; Freddy Jk Toloza; Oscar J Ponce; Jorge A Zuñiga-Hernandez; Larry J Prokop; Nilay D Shah; Gordon Guyatt; Rene Rodriguez-Gutierrez; Victor M Montori
Journal:  Endocrine       Date:  2020-09-21       Impact factor: 3.633

8.  Individualized Glycemic Control for U.S. Adults With Type 2 Diabetes: A Cost-Effectiveness Analysis.

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Review 9.  The place of DPP-4 inhibitors in the treatment algorithm of diabetes type 2: a systematic review of cost-effectiveness studies.

Authors:  Alexandre Baptista; Inês Teixeira; Sónia Romano; António Vaz Carneiro; Julian Perelman
Journal:  Eur J Health Econ       Date:  2016-10-17

10.  The Michigan Model for Coronary Heart Disease in Type 2 Diabetes: Development and Validation.

Authors:  Wen Ye; Michael Brandle; Morton B Brown; William H Herman
Journal:  Diabetes Technol Ther       Date:  2015-07-29       Impact factor: 6.118

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