The DOI matches its Crossref record; 53 of the 53 references it cites were found in a registry or an index.
Comparative accuracies of two common screening instruments for classification of Alzheimer's disease, mild cognitive impairment, and healthy aging
Open accessAbstract
Background: The aim of this study was to compare the utility and diagnostic accuracy of the Montreal Cognitive Assessment (MoCA) and Mini‐Mental State Examination (MMSE) in the diagnosis of Alzheimer's disease (AD) and mild cognitive impairment (MCI) in a clinical cohort. Methods: Three hundred twenty‐one AD, 126 MCI, and 140 older adults with healthy cognition (HC) were evaluated using the MMSE, the MoCA, a standardized neuropsychologic battery according to the Consortium to Establish a Registry of Alzheimer's Disease (CERAD‐NB), and an informant‐based measure of functional impairment, the Dementia Severity Rating Scale (DSRS). Diagnostic accuracy and optimal cut‐off scores were calculated for each measure, and a method for converting MoCA to MMSE scores is presented. Results: The MMSE and MoCA offer reasonably good diagnostic and classification accuracy as compared with the more detailed CERAD‐NB; however, as a brief cognitive screening measure, the MoCA was more sensitive and had higher classification accuracy for differentiating MCI from HC. Complementing the MMSE or the MoCA with the DSRS significantly improved diagnostic accuracy. Conclusion: The findings support recent data indicating that the MoCA is superior to the MMSE as a global assessment tool, particularly in discerning earlier stages of cognitive decline. In addition, we found that overall diagnostic accuracy improves when the MMSE or MoCA is combined with an informant‐based functional measure. Finally, we provide a reliable and easy conversion of MoCA to MMSE scores. However, the need for MCI‐specific measures is still needed to increase the diagnostic specificity between AD and MCI.
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Cites
Diagnostic and Statistical Manual of Mental Disorders
Williams, J. B. W., & First, M. (2013) · Encyclopedia of Social Work · doi:10.1093/acrefore/9780199975839.013.104 · Cited by 109,519
Folstein, M. F., Folstein, S. E., & McHugh, P. R. (1975) · Journal of Psychiatric Research · doi:10.1016/0022-3956(75)90026-6 · Cited by 88,282
The Montreal Cognitive Assessment, MoCA: a brief screening tool for mild cognitive impairment
Nasreddine, Z. S., Phillips, N. A., Bédirian, V., Charbonneau, S., Whitehead, V., Collin, I., Cummings, J. L., & Chertkow, H. (2005) · Journal of the American Geriatrics Society · doi:10.1111/j.1532-5415.2005.53221.x · Cited by 25,553
McKhann, G. M., Knopman, D. S., Chertkow, H., Hyman, B. T., Jack, C. R., Kawas, C. H., Klunk, W. E., Koroshetz, W. J., Manly, J. J., Mayeux, R., et al. (2011) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2011.03.005 · Cited by 18,657
Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision (DSM-IV-TR)
American Psychiatric Association (2000) · doi:10.1176/appi.books.9780890423349 · Cited by 11,069
Mild Cognitive Impairment: Clinical Characterization and Outcome
Petersen, R. C., Smith, G. E., Waring, S. C., Ivnik, R. J., Tangalos, E. G., & Kokmen, E. (1999) · Archives of Neurology · doi:10.1001/archneur.56.3.303 · Cited by 8,980
Mild cognitive impairment as a diagnostic entity
Petersen, R. C. (2004) · Journal of Internal Medicine · doi:10.1111/j.1365-2796.2004.01388.x · Cited by 7,864
Sheikh (1986) · doi:10.1300/j018v05n01_09 · Cited by 7,236
Global prevalence of dementia: a Delphi consensus study
Ferri, C. P., Prince, M., Brayne, C., Brodaty, H., Fratiglioni, L., Ganguli, M., Hall, K., Hasegawa, K., Hendrie, H., Huang, Y., et al. (2005) · The Lancet · doi:10.1016/s0140-6736(05)67889-0 · Cited by 5,332
Winblad, B., Palmer, K., Kivipelto, M., Jelic, V., Fratiglioni, L., Wahlund, L. ‐., Nordberg, A., Bäckman, L., Albert, M., Almkvist, O., et al. (2004) · Journal of Internal Medicine · doi:10.1111/j.1365-2796.2004.01380.x · Cited by 4,946
Cited by
The Diagnosis and Management of Mild Cognitive Impairment: A Clinical Review
Langa, K. M., & Levine, D. A. (2014) · JAMA · doi:10.1001/jama.2014.13806 · Cited by 1,337
A re‐examination of Montreal Cognitive Assessment (MoCA) cutoff scores
Carson, N., Leach, L., & Murphy, K. J. (2018) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.4756 · Cited by 935
McCrory, C., Fiorito, G., Hernandez, B., Polidoro, S., O’Halloran, A. M., Hever, A., Ni Cheallaigh, C., Lu, A. T., Horvath, S., Vineis, P., et al. (2021) · The Journals of Gerontology: Series A · doi:10.1093/gerona/glaa286 · Cited by 464
The Montreal Cognitive Assessment (MoCA)
Hobson, J. (2015) · Occupational Medicine · doi:10.1093/occmed/kqv078 · Cited by 299
Szatloczki, G., Hoffmann, I., Vincze, V., Kalman, J., & Pakaski, M. (2015) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2015.00195 · Cited by 249
Metadata
- Authors
- Roalf, D. R., Moberg, P. J., Xie, S. X., Wolk, D. A., Moelter, S. T., & Arnold, S. E.
- Venue
- Alzheimer's & Dementia
- Publisher
- Wiley
- Published
- 2012-12-26
- Volume
- 9
- Issue
- 5
- Pages
- 529-537
- ISSN
- 1552-5260 (ISSN-L)
- 1552-5279
- OpenAlex
- W2043020182
- Cited by
- 398
- References
- 53
- FWCI
- 7.17
- Type
- journal article
- Language
- en
- Open access
- green
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- Roalf, D. R., Moberg, P. J., Xie, S. X., Wolk, D. A., Moelter, S. T., & Arnold, S. E. (2013). Comparative accuracies of two common screening instruments for classification of Alzheimer's disease, mild cognitive impairment, and healthy aging. Alzheimer's & Dementia. https://doi.org/10.1016/j.jalz.2012.10.001
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