2009
DOI: 10.1001/archneurol.2009.55
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Cerebrospinal Fluid Biomarkers and Rate of Cognitive Decline in Very Mild Dementia of the Alzheimer Type

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Cited by 208 publications
(124 citation statements)
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“…A study with a protracted clinical follow-up period has revealed that the combination of all three core CSF biomarkers shows a sensitivity of 95% to recognize prodromal AD in MCI [76]. Moreover, these markers are able to predict the rate of cognitive decline in patients with MCI/very mild AD dementia [77].…”
Section: Prodromal Admentioning
confidence: 99%
“…A study with a protracted clinical follow-up period has revealed that the combination of all three core CSF biomarkers shows a sensitivity of 95% to recognize prodromal AD in MCI [76]. Moreover, these markers are able to predict the rate of cognitive decline in patients with MCI/very mild AD dementia [77].…”
Section: Prodromal Admentioning
confidence: 99%
“…In this regard, a combination of high CSF tau without proportionally elevated p-tau-181 is associated with a faster rate of cognitive decline [147]. In this regard, longitudinal studies indicates that a combination of low Aβ42 and high tau and p-tau levels is highly predictive of MCI progression and cognitive decline rate [74,148].…”
Section: Phospho-taumentioning
confidence: 99%
“…Firstly, their appropriate sensibility and sensitivity have been successfully validated by independent large-scale multicentre studies [65][66][67][68][69], although these studies also point out that biomarkers measurements present significant inter-laboratory variations [70]. Secondly, Aβ42, tau and p-tau have been validated as predictors of AD in patients with MCI [71][72][73][74]. Lastly, longitudinal studies indicate that, at least, Tau and Aβ42 in CSF reflect the underlying disease state in early clinical and late stages of AD.…”
Section: Protein Biomarkersmentioning
confidence: 99%
“…Although some well-characterized biomarkers (e.g., tau protein and amyloid-␤42 in cerebrospinal fluid) and sophisticated neuroimaging instruments [e.g., magnetic resonance imaging (MRI) and fluorodeoxyglucose-positron emission tomography (FDG-PET)] have been shown to reliably detect early AD pathology [17], there are still some significant limitations to these approaches, such as low to moderate sensitivity and specificity of preclinical measurements, high costs, invasiveness, need of radioactive tracers, and the absence of standardization and clear diagnostic cutoff values [17][18][19]. Several reports over the past decade described the potential diagnostic importance of electrophysiological markers of cognitive decline in patients with MCI and the preclinical stage of AD, as obtained by analysis of the electroencephalography-derived event-related potentials (ERPs) [20][21][22][23][24][25][26][27][28][29].…”
Section: Introductionmentioning
confidence: 99%