Literature DB >> 20160214

Clock drawing test ratings by dementia specialists: interrater reliability and diagnostic accuracy.

Anil K Nair1, Brandon E Gavett, Moniek Damman, Welmoed Dekker, Robert C Green, Alan Mandel, Sanford Auerbach, Eric Steinberg, Emily J Hubbard, Angela Jefferson, Robert A Stern.   

Abstract

The authors conducted a study of clock drawing test scoring by dementia specialists to determine interrater reliability and diagnostic accuracy. The authors randomly assigned 25 clocks from each of six predetermined groups based on consensus diagnosis (cognitive comparison subjects, subjects with a memory complaint but with normal neuropsychological testing, subjects with probable and possible mild cognitive impairment, and subjects with possible and probable Alzheimer's disease) to dementia specialists for blinded scoring using a binary yes/no impairment system and a 0-10 scale as subjectively determined by each individual clinician rater. The authors collapsed the six groups into three (comparison subjects, mild cognitive impairment patients, and Alzheimer's disease patients) and analyzed interrater reliability, sensitivity, and specificity for consensus diagnosis of mild cognitive impairment and Alzheimer's disease. The authors found excellent interrater reliability, sensitivity, and specificity for predicting consensus diagnosis. The 0-10 clock drawing test rating scale was more predictive of consensus diagnosis than the binary impairment scale. Based on rating systems, clock drawing test scoring by dementia clinicians had excellent interrater reliability and sensitivity for differentiating the mild Alzheimer's disease subjects from comparison subjects.

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Year:  2010        PMID: 20160214      PMCID: PMC2938787          DOI: 10.1176/jnp.2010.22.1.85

Source DB:  PubMed          Journal:  J Neuropsychiatry Clin Neurosci        ISSN: 0895-0172            Impact factor:   2.198


  33 in total

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Authors:  Angela L Jefferson; Sarah Wong; Elizabeth Bolen; Al Ozonoff; Robert C Green; Robert A Stern
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3.  Does the Clock Drawing Test predict cognitive decline in older persons independent of the Mini-Mental State Examination? The FINE Study Group. Finland, Italy, The Netherlands Elderly.

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Journal:  J Gerontol B Psychol Sci Soc Sci       Date:  1998-11       Impact factor: 4.077

5.  The Clock Test: a sensitive measure to differentiate normal elderly from those with Alzheimer disease.

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Journal:  J Am Geriatr Soc       Date:  1992-06       Impact factor: 5.562

6.  Screening for dementia in community-based memory clinics.

Authors:  Mark A Sager; Bruce P Hermann; Asenath La Rue; John L Woodard
Journal:  WMJ       Date:  2006-10

7.  The clock drawing test is an independent predictor of incident use of 24-hour care in a retirement community.

Authors:  Laurie L Lavery; Scott M Starenchak; William B Flynn; Margaret A Stoeff; Ruth Schaffner; Anne B Newman
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2005-07       Impact factor: 6.053

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Authors:  Soo Borson; James M Scanlan; Jill Watanabe; Shin-Ping Tu; Mary Lessig
Journal:  Int J Geriatr Psychiatry       Date:  2006-04       Impact factor: 3.485

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Authors:  M F Mendez; T Ala; K L Underwood
Journal:  J Am Geriatr Soc       Date:  1992-11       Impact factor: 5.562

10.  Comparison of clock drawing with Mini Mental State Examination as a screening test in elderly acute hospital admissions.

Authors:  J Death; A Douglas; R A Kenny
Journal:  Postgrad Med J       Date:  1993-09       Impact factor: 2.401

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  20 in total

1.  Clock drawing in the Montreal Cognitive Assessment: recommendations for dementia assessment.

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Journal:  Dement Geriatr Cogn Disord       Date:  2011-03-10       Impact factor: 2.959

2.  Hierarchical Development of Frailty and Cognitive Impairment: Clues Into Etiological Pathways.

Authors:  Nadia M Chu; Karen Bandeen-Roche; Jing Tian; Judith D Kasper; Alden L Gross; Michelle C Carlson; Qian-Li Xue
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2019-10-04       Impact factor: 6.053

3.  Decreased cognitive function in extended family members from the single late-onset-Alzheimer's-disease pedigree.

Authors:  Yan Zeng; Wei Chang; Chang Shu; Lina Ma; Yuanyuan Huang; Ruoshi Wang; Junpeng Zhang; Changcai Zhu; Shawn M McClintock
Journal:  J Int Neuropsychol Soc       Date:  2013-06-07       Impact factor: 2.892

4.  A paired kappa to compare binary ratings across two medical tests.

Authors:  Kerrie P Nelson; Don Edwards
Journal:  Stat Med       Date:  2019-05-17       Impact factor: 2.373

5.  Association of executive function impairment, history of falls and physical performance in older adults: a cross-sectional population-based study in eastern France.

Authors:  S W Muir; O Beauchet; M Montero-Odasso; C Annweiler; B Fantino; M Speechley
Journal:  J Nutr Health Aging       Date:  2013       Impact factor: 4.075

6.  THink: Inferring Cognitive Status from Subtle Behaviors.

Authors:  Randall Davis; David J Libon; Rhoda Au; David Pitman; Dana L Penney
Journal:  Proc Conf AAAI Artif Intell       Date:  2014-07

7.  THink: Inferring Cognitive Status from Subtle Behaviors.

Authors:  Randall Davis; David J Libon; Rhoda Au; David Pitman; Dana L Penney
Journal:  Proc Innov Appl Artif Intell Conf       Date:  2014-07

8.  Multidisciplinary team meetings (MDTM) in detection of Alzheimer's disease: data from the IDEM study.

Authors:  Y Rolland; N Tavassoli; S Gillette-Guyonnet; A Perrin; S Hermabessière; P-J Ousset; F Nourhashemi; P Cestac; B Vellas
Journal:  J Nutr Health Aging       Date:  2013-02       Impact factor: 4.075

9.  Defining and validating a short form Montreal Cognitive Assessment (s-MoCA) for use in neurodegenerative disease.

Authors:  David R Roalf; Tyler M Moore; David A Wolk; Steven E Arnold; Dawn Mechanic-Hamilton; Jacqueline Rick; Sushila Kabadi; Kosha Ruparel; Alice S Chen-Plotkin; Lama M Chahine; Nabila A Dahodwala; John E Duda; Daniel A Weintraub; Paul J Moberg
Journal:  J Neurol Neurosurg Psychiatry       Date:  2016-04-12       Impact factor: 10.154

10.  Frailty-a risk factor of global and domain-specific cognitive decline among a nationally representative sample of community-dwelling older adult U.S. Medicare beneficiaries.

Authors:  Nadia M Chu; Qian-Li Xue; Mara A McAdams-DeMarco; Michelle C Carlson; Karen Bandeen-Roche; Alden L Gross
Journal:  Age Ageing       Date:  2021-09-11       Impact factor: 12.782

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