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The Saint Louis University Mental Status (SLUMS) Exam is a brief screening assessment used to detect cognitive impairment. [1] It was developed in 2006 at the Saint Louis University School of Medicine Division of Geriatric Medicine, in affiliation with a Veterans' Affairs medical center . [ 2 ]
The Montreal Cognitive Assessment (MoCA) is a widely used screening assessment for detecting cognitive impairment. [1] It was created in 1996 by Ziad Nasreddine in Montreal, Quebec. It was validated in the setting of mild cognitive impairment (MCI), and has subsequently been adopted in numerous other clinical settings. This test consists of 30 ...
The mini–mental state examination (MMSE) or Folstein test is a 30-point questionnaire that is used extensively in clinical and research settings to measure cognitive impairment. [1] [2] It is commonly used in medicine and allied health to screen for dementia. It is also used to estimate the severity and progression of cognitive impairment and ...
The mental status examination (MSE) is an important part of the clinical assessment process in neurological and psychiatric practice. It is a structured way of observing and describing a patient's psychological functioning at a given point in time, under the domains of appearance, attitude, behavior, mood and affect, speech, thought process, thought content, perception, cognition, insight, and ...
A recently conducted study in Australia [8] found that the GPCOG in comparison to the MMSE and Rowland Universal Dementia Assessment Scale (RUDAS) [9] was best to rule out dementia in a multicultural cohort of 151 community-dwelling persons. [8] Its sensitivity was higher (98.1) as compared to MMSE and RUDAS (84.3 and 87.7, respectively).
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Pages in category "Cognitive impairment and dementia screening and assessment tools" The following 14 pages are in this category, out of 14 total. This list may not reflect recent changes .
Don't rely on bloviating pundits to tell you who'll prevail on Hollywood's big night. The Huffington Post crunched the stats on every Oscar nominee of the past 30 years to produce a scientific metric for predicting the winners at the 2013 Academy Awards.
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