Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Review
. 2014 Oct 16:6:287.
doi: 10.3389/fnagi.2014.00287. eCollection 2014.

Improving CSF Biomarkers' Performance for Predicting Progression from Mild Cognitive Impairment to Alzheimer's Disease by Considering Different Confounding Factors: A Meta-Analysis

Affiliations
Review

Improving CSF Biomarkers' Performance for Predicting Progression from Mild Cognitive Impairment to Alzheimer's Disease by Considering Different Confounding Factors: A Meta-Analysis

Daniel Ferreira et al. Front Aging Neurosci. .

Abstract

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.

Keywords: Alzheimer’s disease; CSF biomarkers; confounding factors; meta-analysis; mild cognitive impairment; systematic review.

PubMed Disclaimer

Figures

Figure 1
Figure 1
Study selection flow.
Figure 2
Figure 2
Positive and negative likelihood ratios. A LR+ greater than one increases the pretest probability that the disease is present [in this context progression from MCI to AD or, in other words, MCI due to AD (Albert et al., 2011)]. A LR– of less than one diminishes the pretest probability that disease is present. The established guidelines (Qizilbash, 2002) states that a LR+ greater than 10 will often make conclusive changes to the pretest probability, indicating that the disease is likely present; a LR+ between 5 and 10 corresponds to moderate increase in probability; and a LR+ between 2 and 5 corresponds to small increase. A LR− of less than 0⋅1 will often make conclusive changes to the pretest probability that the disease is present, indicating that the disease is unlikely present; a LR− between 0⋅1 and 0⋅2 corresponds to moderate decrease in probability; and a LR− between 0⋅2 and 0⋅5 corresponds to small decrease. LR+, positive likelihood ratio; LR−, negative likelihood ratio; Global MA, global meta-analysis; MCI, mild cognitive impairment; AD, Alzheimer’s disease.

References

    1. Albert M. S., DeKosky S. T., Dickson D., Dubois B., Feldman H. H., Fox N. C., et al. (2011). The diagnosis of mild cognitive impairment due to Alzheimer’s disease: recommendations from the National Institute on Aging-Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer’s disease. Alzheimers Dement. 7, 270–279.10.1016/j.jalz.2011.03.008 - DOI - PMC - PubMed
    1. Anoop A., Singh P. K., Jacob R. S., Maji S. K. (2010). CSF biomarkers for Alzheimer’s disease diagnosis. Int. J. Alzheimers Dis. 2010, 606802.10.4061/2010/606802 - DOI - PMC - PubMed
    1. Artero S., Petersen R. C., Touchon J., Ritchie K. (2006). Revised criteria for mild cognitive impairment: validation within a longitudinal population study. Dement. Geriatr. Cogn. Disord. 22, 465–470.10.1159/000096287 - DOI - PubMed
    1. Bennett D. A., Schneider J. A., Arvanitakis Z., Kelly J. F., Aggarwal N. T., Shah R. C., et al. (2006). Neuropathology of older persons without cognitive impairment from two community-based studies. Neurology 66, 1837–1844.10.1212/01.wnl.0000219668.47116.e6 - DOI - PubMed
    1. Bloudek L. M., Spackman D. E., Blankenburg M., Sullivan S. D. (2011). Review and meta-analysis of biomarkers and diagnostic imaging in Alzheimer’s disease. JAD 26, 627–645.10.3233/JAD-2011-110458 - DOI - PubMed