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Syncope and Its Consequences in Patients With Dementia Receiving Cholinesterase Inhibitors

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The article was published on 2017-01-01 and is currently open access. It has received 254 citations till now. The article focuses on the topics: Dementia & Syncope (genus).

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Citations
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A Meta-Analysis of Cytokines in Alzheimer's Disease

TL;DR: The results strengthen the clinical evidence that AD is accompanied by an inflammatory response, particularly higher peripheral concentrations of IL-6, TNF-α, IL-1β, TGF-β,IL-12 and IL-18 and higher CSF concentrations of T GF-β.
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Current and future treatments for Alzheimer's disease.

TL;DR: Current symptomatic treatments and new potential disease-modifying therapies for AD that are currently being studied in phase I–III trials are discussed.
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Screening for Cognitive Impairment in Older Adults: A Systematic Review for the U.S. Preventive Services Task Force

TL;DR: Brief instruments to screen for cognitive impairment can adequately detect dementia, but there is no empirical evidence that screening improves decision making.
References
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A new method of classifying prognostic comorbidity in longitudinal studies: Development and validation☆

TL;DR: The method of classifying comorbidity provides a simple, readily applicable and valid method of estimating risk of death fromComorbid disease for use in longitudinal studies and further work in larger populations is still required to refine the approach.
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Constructing a Control Group Using Multivariate Matched Sampling Methods That Incorporate the Propensity Score

TL;DR: This article used multivariate matching methods in an observational study of the effects of prenatal exposure to barbiturates on subsequent psychological development, using the propensity score as a distinct matching variable.
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Propensity score methods for bias reduction in the comparison of a treatment to a non‐randomized control group

TL;DR: The propensity score, defined as the conditional probability of being treated given the covariates, can be used to balance the variance of covariates in the two groups, and therefore reduce bias as mentioned in this paper.
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Variable Selection for Propensity Score Models

TL;DR: The authors present the results of two simulation studies designed to help epidemiologists gain insight into the variable selection problem in a PS analysis, which suggest that standard model-building tools designed to create good predictive models of the exposure will not always lead to optimal PS models, particularly in small studies.
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