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oai:repisalud.isciii.es:20.500.12105/97332025-06-06T18:07:54Zcom_20.500.12105_2052com_20.500.12105_2051col_20.500.12105_19612

00925njm 22002777a 4500 dc Ferreira, Daniel author Rivero-Santana, Amado author Perestelo-Pérez, Lilisbeth author Westman, Eric author Wahlund, Lars-Olof author Sarria-Santamera, Antonio author Serrano-Aguilar, Pedro author 2014 BACKGROUND: Cerebrospinal fluid (CSF) biomarkers' performance for predicting conversion from mild cognitive impairment (MCI) to Alzheimer's disease (AD) is still suboptimal. OBJECTIVE: By considering several confounding factors we aimed to identify in which situations these CSF biomarkers can be useful. DATA SOURCES: A systematic review was conducted on MEDLINE, PreMedline, EMBASE, PsycInfo, CINAHL, Cochrane, and CRD (1990-2013). ELIGIBILITY CRITERIA: (1) Prospective studies of CSF biomarkers' performance for predicting conversion from MCI to AD/dementia; (2) inclusion of Aβ42 and T-tau and/or p-tau. Several meta-analyses were performed. RESULTS: Aβ42/p-tau ratio had high capacity to predict conversion to AD in MCI patients younger than 70 years. The p-tau had high capacity to identify MCI cases converting to AD in ≤24 months. CONCLUSIONS: Explaining how different confounding factors influence CSF biomarkers' predictive performance is mandatory to elaborate a definitive map of situations, where these CSF biomarkers are useful both in clinics and research. Front Aging Neurosci. 2014 Oct 16;6:287. 1663-4365 http://hdl.handle.net/20.500.12105/9733 25360114 10.3389/fnagi.2014.00287 Frontiers in aging neuroscience Alzheimer’s disease CSF biomarkers Confounding factors Meta-analysis Mild cognitive impairment Systematic review Improving CSF Biomarkers' Performance for Predicting Progression from Mild Cognitive Impairment to Alzheimer's Disease by Considering Different Confounding Factors: A Meta-Analysis