The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.
Olfactory Deficits in Patients With Mild Cognitive Impairment Predict Alzheimer’s Disease at Follow-Up
Open accessAbstract
OBJECTIVE: This study evaluated the predictive utility of olfactory identification deficits in patients with mild cognitive impairment for follow-up diagnosis of probable Alzheimer's disease. METHOD: Ninety outpatients with mild cognitive impairment were examined at 6-month intervals. Matched healthy comparison subjects (N=45) were examined annually. The University of Pennsylvania Smell Identification Test was given at baseline. RESULTS: Olfaction scores were lower in patients with mild cognitive impairment than in healthy comparison subjects. Seventy-seven patients were followed up; 19 were diagnosed with Alzheimer's disease by 2 years. Patients with low olfaction scores (< or =34 of 40), and patients with low olfaction scores who reported no subjective problems smelling, were more likely to develop Alzheimer's disease than other patients. In a Cox proportional hazards model adjusted for age, sex, modified Mini-Mental State score, and education, low olfaction scores did not predict time until development of Alzheimer's disease, but low olfaction scores accompanied by lack of awareness of olfactory deficits predicted time to development of Alzheimer's disease. This effect remained when attention or memory measures replaced modified Mini-Mental State score in the model. In patients with high Mini-Mental State scores (> or =27 of 30), low olfaction with lack of awareness remained a significant predictor of Alzheimer's disease. Olfaction scores of 30-35 showed moderate to strong sensitivity and specificity for diagnosis of Alzheimer's disease at follow-up. CONCLUSIONS: In patients with mild cognitive impairment, olfactory identification deficits, particularly with lack of awareness of olfactory deficits, may have clinical utility as an early diagnostic marker for Alzheimer's disease.
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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
McKhann, G., Drachman, D., Folstein, M., Katzman, R., Price, D., & Stadlan, E. M. (1984) · Neurology · doi:10.1212/wnl.34.7.939 · Cited by 27,915
A New Clinical Scale for the Staging of Dementia
Hughes, C. P., Berg, L., Danziger, W., Coben, L. A., & Martin, R. L. (1982) · British Journal of Psychiatry · doi:10.1192/bjp.140.6.566 · Cited by 7,056
Blessed, G., Tomlinson, B. E., & Roth, M. (1968) · British Journal of Psychiatry · doi:10.1192/bjp.114.512.797 · Cited by 4,117
The assessment of aphasia and related disorders
Goodglass, H., & Kaplan, E. (1972) · Medical Entomology and Zoology · Cited by 3,258
Restriction isotyping of human apolipoprotein E by gene amplification and cleavage with HhaI.
Hixson, J., & Vernier, D. (1990) · Journal of Lipid Research · doi:10.1016/s0022-2275(20)43176-1 · Cited by 2,933
Evaluating storage, retention, and retrieval in disordered memory and learning
BUSCHKE, H., & FULD, P. A. (1974) · Neurology · doi:10.1212/wnl.24.11.1019 · Cited by 1,597
Nass, R. (1984) · Annals of Neurology · doi:10.1002/ana.410160524 · Cited by 1,066
Petersen, R. C. (1995) · JAMA: The Journal of the American Medical Association · doi:10.1001/jama.1995.03520400044042 · Cited by 780
Use of structural magnetic resonance imaging to predict who will get Alzheimer's disease
Killiany, R. J., Gomez-Isla, T., Moss, M., Kikinis, R., Sandor, T., Jolesz, F., Tanzi, R., Jones, K., Hyman, B. T., & Albert, M. S. (2000) · Annals of Neurology · doi:10.1002/1531-8249(200004)47:4<430::aid-ana5>3.0.co;2-i · Cited by 664
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Cognitive impairment in preclinical Alzheimer's disease: a meta-analysis
Bäckman, L., Jones, S., Berger, A.-K., Laukka, E. J., & Small, B. J. (2005) · Neuropsychology · doi:10.1037/0894-4105.19.4.520 · Cited by 735
The olfactory bulbectomised rat as a model of depression
Song, C., & Leonard, B. E. (2005) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2005.03.010 · Cited by 698
Tabert, M. H., Manly, J. J., Liu, X., Pelton, G. H., Rosenblum, S., Jacobs, M., Zamora, D., Goodkind, M., Bell, K., Stern, Y., et al. (2006) · Archives of General Psychiatry · doi:10.1001/archpsyc.63.8.916 · Cited by 600
Self-citationAt the interface of sensory and motor dysfunctions and Alzheimer’s disease.
Albers, M. W., Gilmore, G. C., Kaye, J., Murphy, C., Wingfield, A., Bennett, D. A., Boxer, A. L., Buchman, A. S., Cruickshanks, K. J., Devanand, D. P., et al. (2015) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2014.04.514 · Cited by 589
Self-citationHaughey, N. J., Nath, A., Chan, S. L., Borchard, A. C., Rao, M. S., & Mattson, M. P. (2002) · Journal of Neurochemistry · doi:10.1046/j.1471-4159.2002.01267.x · Cited by 466
Metadata
- Authors
- Devanand, D. P., Michaels-Marston, K. S., Liu, X., Pelton, G. H., Padilla, M., Marder, K., Bell, K., Stern, Y., & Mayeux, R.
- Venue
- American Journal of Psychiatry
- Published
- 2000-09-01
- Volume
- 157
- Issue
- 9
- Pages
- 1399-1405
- ISSN
- 0002-953X (ISSN-L)
- 1535-7228
- OpenAlex
- W2056795042
- Cited by
- 532
- References
- 40
- FWCI
- 8.91
- Type
- journal article
- Language
- en
- Open access
- green
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- Devanand, D. P., Michaels-Marston, K. S., Liu, X., Pelton, G. H., Padilla, M., Marder, K., Bell, K., Stern, Y., & Mayeux, R. (2000). Olfactory Deficits in Patients With Mild Cognitive Impairment Predict Alzheimer’s Disease at Follow-Up. American Journal of Psychiatry. https://doi.org/10.1176/appi.ajp.157.9.1399
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