Ontology highlight
ABSTRACT: Introduction
We develop a framework to model disease progression across Alzheimer's disease (AD) and to assess the cost-effectiveness of future disease-modifying therapies (DMTs) for people with mild cognitive impairment (MCI) due to AD.Methods
Using data from the US National Alzheimer's Coordinating Center, we apply survival analysis to estimate transition from predementia to AD dementia and ordered probit regression to estimate transitions across AD dementia stages. We investigate the cost-effectiveness of a hypothetical treatment scenario for people in MCI due to AD.Results
We present an open-access model-based decision-analytic framework. Assuming a modest DMT treatment effect in MCI, we predict extended life expectancy and a reduction in time with AD dementia.Discussion
Any future DMT for AD is expected to pose significant economic challenges across all health-care systems, and decision-analytic modeling will be required to assess costs and outcomes. Further developments are needed to inform these health policy considerations.
SUBMITTER: Green C
PROVIDER: S-EPMC10490554 | biostudies-literature | 2019 Oct
REPOSITORIES: biostudies-literature
Green Colin C Handels Ron R Gustavsson Anders A Wimo Anders A Winblad Bengt B Sköldunger Anders A Jönsson Linus L
Alzheimer's & dementia : the journal of the Alzheimer's Association 20190808 10
<h4>Introduction</h4>We develop a framework to model disease progression across Alzheimer's disease (AD) and to assess the cost-effectiveness of future disease-modifying therapies (DMTs) for people with mild cognitive impairment (MCI) due to AD.<h4>Methods</h4>Using data from the US National Alzheimer's Coordinating Center, we apply survival analysis to estimate transition from predementia to AD dementia and ordered probit regression to estimate transitions across AD dementia stages. We investig ...[more]