2001
DOI: 10.1212/wnl.57.6.957
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Measuring Alzheimer’s disease progression with transition probabilities

Abstract: Transition probabilities provide a useful means of characterizing AD progression. Economic models of interventions for AD should consider the varied course of progression for different population subgroups, particularly those defined by high levels of behavioral symptoms.

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Cited by 103 publications
(109 citation statements)
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“…There are many ways to model age-related cognitive changes, including Markov chains with Cox regression [18,19] logistic regression [20] , polytomous logistic regression [21,22] with adjustments for cofactors. These models, however, operate with a relatively small number of states ( !…”
Section: Discussionmentioning
confidence: 99%
“…There are many ways to model age-related cognitive changes, including Markov chains with Cox regression [18,19] logistic regression [20] , polytomous logistic regression [21,22] with adjustments for cofactors. These models, however, operate with a relatively small number of states ( !…”
Section: Discussionmentioning
confidence: 99%
“…In regard to the natural history of AD, papers have been published on depression, insight, weight change, the time needed to reach selected endpoints (and their stability), and transition time from one stage to another. [28][29][30][31][32] The clock drawing test is one of a set of brief objective measures included in the clinical battery to facilitate the clinical diagnosis of AD without reliance on the neuropsychological test results, thus permitting the neuropsychology battery to be evaluated independently. CERAD's straightforward scoring of this measure (clocks are scored on a 4-point scale: normal, mild, moderate, severe impairment, with examples provided for each level), has been found to be reliable, and has been included in brief screens of dementia.…”
Section: Uses Of the Databasementioning
confidence: 99%
“…statistical significance, generalisability) and in the overall approach to characterise disease severity, given the growing literature that indicates that cognitive function is an unreliable approach to predicting disease progression [123][124][125] and outcomes such as time to institutionalisation. 43,125,178 Others have used datasets and statistical techniques to model disease progression over time, 91,128,131,179 and these methods are also subject to concerns over validity and generalisability. In the datasets used to model AD progression, all have limitations, be it the use of trial-specific transition probabilities or the frailties which exist in observational data sets reporting on AD patients over time.…”
Section: Modelling Ad Progression Over Timementioning
confidence: 99%
“…Neumann and colleagues 179 use the Consortium to Establish a Registry for Alzheimer's Disease (CERAD) database to examine the progression of disease to mild, moderate and severe stages of AD, with death included at all stages of AD progression. CERAD is a longitudinal database of 1145 dementia patients examined annually between 1986 and 1995.…”
Section: Modelling Ad Progression Over Timementioning
confidence: 99%