Neuroscience
Model-based economic evaluation in Alzheimer's disease: a review of the methods available to model Alzheimer's disease progression
Value Health. 2011 Jul-Aug;14(5):621-30
Green C, Shearer J, Ritchie CW, Zajicek JP
Abstract
OBJECTIVE: To consider the methods available to model Alzheimer's disease (AD) progression over time to inform on the structure and development of model-based evaluations, and the future direction of modelling methods in AD.
METHODS: A systematic search of the health care literature was undertaken to identify methods to model disease progression in AD. Modelling methods are presented in a descriptive review.
RESULTS: The literature search identified 42 studies presenting methods or applications of methods to model AD progression over time. The review identified 10 general modelling frameworks available to empirically model the progression of AD as part of a model-based evaluation. Seven of these general models are statistical models predicting progression of AD using a measure of cognitive function. The main concerns with models are on model structure, around the limited characterization of disease progression, and on the use of a limited number of health states to capture events related to disease progression over time. None of the available models have been able to present a comprehensive model of the natural history of AD.
CONCLUSIONS: Although helpful, there are serious limitations in the methods available to model progression of AD over time. Advances are needed to better model the progression of AD and the effects of the disease on peoples' lives. Recent evidence supports the need for a multivariable approach to the modelling of AD progression, and indicates that a latent variable analytic approach to characterising AD progression is a promising avenue for advances in the statistical development of modelling methods.
PMID: 21839398 [PubMed - indexed for MEDLINE]
- Neuropsychology Abstract Of The Day: Alzheimer's Disease Progression
Measuring Alzheimer disease progression with transition probabilities: Estimates from NACC-UDS Curr Alzheimer Res. 2011 Nov 28; Spackman DE, Kadiyala S, Neumann PJ, Veenstra DL, Sullivan SD Abstract Objectives: Estimate the probabilities, for Alzheimer's...
- Neuropsychology Abstract Of The Day: Mci
Predictive value of APOE-ε4 allele for progression from MCI to AD-type dementia: A meta-analysis Journal of Neurology Neurosurgery and Psychiatry. 2011 Oct; 82(10): 1149-1156. Elias-Sonnenschein LS, Viechtbauer W, Ramakers IH, Verhey FR, Visser PJ Abstract...
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- Neuropsychology Abstract Of The Day: Alzheimer's Progression Rates
Doody RS, Pavlik V, Massman P, Rountree S, Darby E, & Chan W. Predicting progression of Alzheimer's disease. Alzheimers Res Ther. 2010 Feb 23; 2(1):2. [Epub ahead of print] Alzheimer's Disease and Memory Disorders Center, Baylor College of Medicine,...
- Neuropsychology Abstract Of The Day: Donepezil, Mci, And Ad
Lu PH, Edland SD, Teng E, Tingus K, Petersen RC, Cummings JL & Alzheimer's Disease Cooperative Study Group. (2009) Donepezil delays progression to AD in MCI subjects with depressive symptoms. Neurology, 72(24):, 2115-2121. Departments of Neurology,...
Neuroscience
Neuropsychology Abstract of the Day: Alzheimer's Disease Progression
Model-based economic evaluation in Alzheimer's disease: a review of the methods available to model Alzheimer's disease progression
Value Health. 2011 Jul-Aug;14(5):621-30
Green C, Shearer J, Ritchie CW, Zajicek JP
Abstract
OBJECTIVE: To consider the methods available to model Alzheimer's disease (AD) progression over time to inform on the structure and development of model-based evaluations, and the future direction of modelling methods in AD.
METHODS: A systematic search of the health care literature was undertaken to identify methods to model disease progression in AD. Modelling methods are presented in a descriptive review.
RESULTS: The literature search identified 42 studies presenting methods or applications of methods to model AD progression over time. The review identified 10 general modelling frameworks available to empirically model the progression of AD as part of a model-based evaluation. Seven of these general models are statistical models predicting progression of AD using a measure of cognitive function. The main concerns with models are on model structure, around the limited characterization of disease progression, and on the use of a limited number of health states to capture events related to disease progression over time. None of the available models have been able to present a comprehensive model of the natural history of AD.
CONCLUSIONS: Although helpful, there are serious limitations in the methods available to model progression of AD over time. Advances are needed to better model the progression of AD and the effects of the disease on peoples' lives. Recent evidence supports the need for a multivariable approach to the modelling of AD progression, and indicates that a latent variable analytic approach to characterising AD progression is a promising avenue for advances in the statistical development of modelling methods.
PMID: 21839398 [PubMed - indexed for MEDLINE]
- Neuropsychology Abstract Of The Day: Alzheimer's Disease Progression
Measuring Alzheimer disease progression with transition probabilities: Estimates from NACC-UDS Curr Alzheimer Res. 2011 Nov 28; Spackman DE, Kadiyala S, Neumann PJ, Veenstra DL, Sullivan SD Abstract Objectives: Estimate the probabilities, for Alzheimer's...
- Neuropsychology Abstract Of The Day: Mci
Predictive value of APOE-ε4 allele for progression from MCI to AD-type dementia: A meta-analysis Journal of Neurology Neurosurgery and Psychiatry. 2011 Oct; 82(10): 1149-1156. Elias-Sonnenschein LS, Viechtbauer W, Ramakers IH, Verhey FR, Visser PJ Abstract...
- Alzheimer's Disease: Targeting The Blood-brain Barrier
A news release from the NIH: Targeting the Blood-Brain Barrier May Delay Progression of Alzheimer's Disease 12 April 2010Researchers may be one step closer to slowing the onset and progression of Alzheimer's disease. An animal study supported...
- Neuropsychology Abstract Of The Day: Alzheimer's Progression Rates
Doody RS, Pavlik V, Massman P, Rountree S, Darby E, & Chan W. Predicting progression of Alzheimer's disease. Alzheimers Res Ther. 2010 Feb 23; 2(1):2. [Epub ahead of print] Alzheimer's Disease and Memory Disorders Center, Baylor College of Medicine,...
- Neuropsychology Abstract Of The Day: Donepezil, Mci, And Ad
Lu PH, Edland SD, Teng E, Tingus K, Petersen RC, Cummings JL & Alzheimer's Disease Cooperative Study Group. (2009) Donepezil delays progression to AD in MCI subjects with depressive symptoms. Neurology, 72(24):, 2115-2121. Departments of Neurology,...