Steve Balsis1, Jared F Benge2, Deborah A Lowe1, Lisa Geraci1, Rachelle S Doody3. 1. a Department of Psychology , Texas A & M University , College Station , TX , USA. 2. b Department of Neurology , Baylor Scott & White Health , Temple , TX , USA. 3. c Department of Neurology, Alzheimer's Disease and Memory Disorders Center , Baylor College of Medicine , Houston , TX , USA.
Abstract
OBJECTIVE: Clinicians and researchers who measure cognitive dysfunction often use the Alzheimer's Disease Assessment Scale--Cognitive Subscale (ADAS-Cog), the Mini-Mental State Examination (MMSE), or the Clinical Dementia Rating scale (CDR-SOB). But, the use of different measures can make it difficult to compare data across patients or studies. What is needed is a simple chart that shows how scores on these three important measures correspond to each other. METHODS: Using data from 1709 participants from the Alzheimer's Disease Neuroimaging Initiative and item response theory-based statistics, we analyzed how scores on each measure, the ADAS-Cog, the MMSE, and the CDR-SOB, correspond. RESULTS: Results indicated multiple inflections in CDR-SOB and ADAS-Cog scores within a given MMSE score, suggesting that the CDR-SOB and ADAS-Cog are more precise in measuring the severity of cognitive dysfunction than the MMSE. CONCLUSIONS: This study shows how scores on these three popular measures of cognitive dysfunction correspond to each other, which is very useful information for both researchers and clinicians.
OBJECTIVE: Clinicians and researchers who measure cognitive dysfunction often use the Alzheimer's Disease Assessment Scale--Cognitive Subscale (ADAS-Cog), the Mini-Mental State Examination (MMSE), or the Clinical Dementia Rating scale (CDR-SOB). But, the use of different measures can make it difficult to compare data across patients or studies. What is needed is a simple chart that shows how scores on these three important measures correspond to each other. METHODS: Using data from 1709 participants from the Alzheimer's Disease Neuroimaging Initiative and item response theory-based statistics, we analyzed how scores on each measure, the ADAS-Cog, the MMSE, and the CDR-SOB, correspond. RESULTS: Results indicated multiple inflections in CDR-SOB and ADAS-Cog scores within a given MMSE score, suggesting that the CDR-SOB and ADAS-Cog are more precise in measuring the severity of cognitive dysfunction than the MMSE. CONCLUSIONS: This study shows how scores on these three popular measures of cognitive dysfunction correspond to each other, which is very useful information for both researchers and clinicians.
Authors: Michael W Weiner; Dallas P Veitch; Paul S Aisen; Laurel A Beckett; Nigel J Cairns; Robert C Green; Danielle Harvey; Clifford R Jack; William Jagust; John C Morris; Ronald C Petersen; Andrew J Saykin; Leslie M Shaw; Arthur W Toga; John Q Trojanowski Journal: Alzheimers Dement Date: 2017-03-22 Impact factor: 21.566
Authors: Jia Fan; Marian Tse; Jessie S Carr; Bruce L Miller; Joel H Kramer; Howard J Rosen; Luke W Bonham; Jennifer S Yokoyama Journal: Alzheimer Dis Assoc Disord Date: 2019 Jul-Sep Impact factor: 2.703
Authors: Erik C B Johnson; Eric B Dammer; Duc M Duong; Lingyan Ping; Maotian Zhou; Luming Yin; Lenora A Higginbotham; Andrew Guajardo; Bartholomew White; Juan C Troncoso; Madhav Thambisetty; Thomas J Montine; Edward B Lee; John Q Trojanowski; Thomas G Beach; Eric M Reiman; Vahram Haroutunian; Minghui Wang; Eric Schadt; Bin Zhang; Dennis W Dickson; Nilüfer Ertekin-Taner; Todd E Golde; Vladislav A Petyuk; Philip L De Jager; David A Bennett; Thomas S Wingo; Srikant Rangaraju; Ihab Hajjar; Joshua M Shulman; James J Lah; Allan I Levey; Nicholas T Seyfried Journal: Nat Med Date: 2020-04-13 Impact factor: 53.440