The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Patterns of Cognitive Decline in Presymptomatic Alzheimer Disease: A Prospective Community Study
Abstract
BACKGROUND: Specific patterns of decline over time were evaluated across a spectrum of cognitive measures in presymptomatic Alzheimer disease (AD) within a community sample. METHODS: A total of 551 individuals completed a battery of standard cognitive tests 3.5 and 1.5 years before outcome (clinical onset of AD vs continued nondemented status) within a prospective community-based study of AD. Test score changes in 68 cases (who subsequently developed symptomatic AD) and 483 controls (who remained nondemented) on each of 15 cognitive measures were transformed into z scores adjusted for age, sex, and education. A case-control rate ratio of the proportions of individuals who showed "cognitive decline" on each test was calculated, representing the relative magnitude of cognitive decline on each test in presymptomatic AD compared with normal aging. RESULTS: Declines in Trail-Making Tests A and B and Word List delayed recognition of originals and third immediate learning trial had the highest rate ratios, larger than 3.0 (P<.01). These were followed by Word List delayed recognition of foils and delayed recall, Consortium to Establish a Registry for Alzheimer's Disease Praxis, Clock Drawing, the Boston Naming Test, and Orientation, with rate ratios between 1.7 and 3.0 (P<.05). CONCLUSIONS: Memory and executive dysfunction showed the greatest decline over time in individuals who would clinically manifest AD 1.5 years later. These findings might help us understand the underlying evolution of the early neurodegenerative process. They highlight the importance of executive dysfunction early in the disease process and might facilitate early detection of AD.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
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
Moms, J. C., Heyman, A., Mohs, R. C., Hughes, J. P., van Belle, G., Fillenbaum, G., Mellits, E. D., & Clark, C. (1989) · Neurology · doi:10.1212/wnl.39.9.1159 · Cited by 4,130
Evolution of the neuropathology of Alzheimer's disease
Braak, H., & Braak, E. (1996) · Acta Neurologica Scandinavica · doi:10.1111/j.1600-0404.1996.tb05866.x · Cited by 710
Crystal, H., Dickson, D., Fuld, P., Masur, D., Scott, R., Mehler, M., Masdeu, J., Kawas, C., Aronson, M., & Wolfson, L. (1988) · Neurology · doi:10.1212/wnl.38.11.1682 · Cited by 586
Ten-year incidence of dementia in a rural elderly US community population: the MoVIES Project
Ganguli, M., Dodge, H. H., Chen, P., Belle, S., & DeKosky, S. T. (2000) · Neurology · doi:10.1212/wnl.54.5.1109 · Cited by 196
Self-citationSpectrum of memory dysfunction in degenerative disease
Perry, R. J., & Hodges, J. R. (1996) · Current Opinion in Neurology · doi:10.1097/00019052-199608000-00007 · Cited by 59
Cited by
Age-related myelin breakdown: a developmental model of cognitive decline and Alzheimer’s disease
Bartzokis, G. (2004) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2003.03.001 · Cited by 968
Prodromal Alzheimer's disease: successive emergence of the clinical symptoms
Amieva, H., Le Goff, M., Millet, X., Orgogozo, J. M., Pérès, K., Barberger‐Gateau, P., Jacqmin‐Gadda, H., & Dartigues, J. F. (2008) · Annals of Neurology · doi:10.1002/ana.21509 · Cited by 737
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
At 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
Language performance in Alzheimer's disease and mild cognitive impairment: A comparative review
Taler, V., & Phillips, N. A. (2008) · Journal of Clinical and Experimental Neuropsychology · doi:10.1080/13803390701550128 · Cited by 529
fMRI evidence of compensatory mechanisms in older adults at genetic risk for Alzheimer disease
Bondi, M. W., Houston, W. S., Eyler, L. T., & Brown, G. G. (2005) · Neurology · doi:10.1212/01.wnl.0000150885.00929.7e · Cited by 372
Longitudinal Verbal Fluency in Normal Aging, Preclinical, and Prevalent Alzheimer’s Disease
Clark, L. J., Gatz, M., Zheng, L., Chen, Y.-L., McCleary, C., & Mack, W. J. (2009) · American Journal of Alzheimer's Disease & Other Dementias® · doi:10.1177/1533317509345154 · Cited by 318
“In the MoVIES study, there was significant decline over 2 years on categorical but not on letter fluency prior to dementia onset.(15) In the Paquid study, both nondemented and preclinical AD samples declined on categorical fluency over a 9-year period, with faster decline in the preclinical group during the years just…”
BackgroundDepressive Symptoms and Cognitive Decline in Late Life: A Prospective Epidemiological Study
Ganguli, M., Du, Y., Dodge, H. H., Ratcliff, G. G., & Chang, C.-C. H. (2006) · Archives of General Psychiatry · doi:10.1001/archpsyc.63.2.153 · Cited by 314
Self-citationSemantic knowledge in mild cognitive impairment and mild Alzheimer's disease
Adlam, A.-L. R., Bozeat, S., Arnold, R., Watson, P., & Hodges, J. R. (2006) · Cortex · doi:10.1016/s0010-9452(08)70404-0 · Cited by 274
Neuropsychological Contributions to the Early Identification of Alzheimer’s Disease
Bondi, M. W., Jak, A. J., Delano-Wood, L., Jacobson, M. W., Delis, D. C., & Salmon, D. P. (2008) · Neuropsychology Review · doi:10.1007/s11065-008-9054-1 · Cited by 216
Weniger, G., Ruhleder, M., Lange, C., Wolf, S., & Irle, E. (2011) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2010.12.031 · Cited by 204
Preclinical Alzheimer disease: Neuropsychological test performance 1.5 to 8 years prior to onset
Saxton, J., Lopez, O. L., Ratcliff, G., Dulberg, C., Fried, L. P., Carlson, M. C., Newman, A. B., & Kuller, L. (2004) · Neurology · doi:10.1212/01.wnl.0000147470.58328.50 · Cited by 168
Self-citationLongitudinal change in cognitive performance among individuals with mild cognitive impairment.
Albert, M., Moss, M. B., Blacker, D., Tanzi, R., & McArdle, J. J. (2007) · Neuropsychology · doi:10.1037/0894-4105.21.2.158 · Cited by 160
Poly, C., Massaro, J. M., Seshadri, S., Wolf, P. A., Cho, E., Krall, E., Jacques, P. F., & Au, R. (2011) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.110.008938 · Cited by 159
Robinson, J. L., Molina-Porcel, L., Corrada, M. M., Raible, K., Lee, E. B., Lee, V. M.-Y., Kawas, C. H., & Trojanowski, J. Q. (2014) · Brain · doi:10.1093/brain/awu190 · Cited by 157
Duration of antihypertensive drug use and risk of dementia: A prospective cohort study
Haag, M. D. M., Hofman, A., Koudstaal, P. J., Breteler, M. M. B., & Stricker, B. H. C. (2009) · Neurology · doi:10.1212/01.wnl.0000345062.86148.3f · Cited by 140
Chang, Y.-L., Jacobson, M. W., Fennema-Notestine, C., Hagler, D. J., Jennings, R. G., Dale, A. M., McEvoy, L. K., & Initiative, A. A. D. N. (2010) · Cerebral Cortex · doi:10.1093/cercor/bhp192 · Cited by 130
LANGE, K. L., BONDI, M. W., SALMON, D. P., GALASKO, D., DELIS, D. C., THOMAS, R. G., & THAL, L. J. (2002) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617702870096 · Cited by 129
Patterns of cognitive decline prior to dementia in persons with mild cognitive impairment
Cloutier, S., Chertkow, H., Kergoat, M.-J., Gauthier, S., & Belleville, S. (2015) · Journal of Alzheimer's Disease · doi:10.3233/jad-142910 · Cited by 124
Swartz, R. H., Stuss, D. T., Gao, F., & Black, S. E. (2008) · Stroke · doi:10.1161/strokeaha.107.491936 · Cited by 82
Neuropsychological Features of Mild Cognitive Impairment and Preclinical Alzheimer’s Disease
Salmon, D. P. (2011) · Current Topics in Behavioral Neurosciences · doi:10.1007/7854_2011_171 · Cited by 83
Early neuropsychological detection of Alzheimer's disease
Bastin, C., & Salmon, E. (2014) · European Journal of Clinical Nutrition · doi:10.1038/ejcn.2014.176 · Cited by 72
Stein, J., Luppa, M., Brähler, E., König, H.-H., & Riedel-Heller, S. G. (2010) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000289779 · Cited by 65
Fasting Insulin Levels and Cognitive Decline in Older Women without Diabetes
van Oijen, M., Okereke, O. I., Kang, J. H., Pollak, M. N., Hu, F. B., Hankinson, S. E., & Grodstein, F. (2008) · Neuroepidemiology · doi:10.1159/000126909 · Cited by 44
Metadata
- Authors
- Chen, P., Ratcliff, G., Belle, S. H., Cauley, J. A., DeKosky, S. T., & Ganguli, M.
- Venue
- Archives of General Psychiatry
- Publisher
- American Medical Association (AMA)
- Published
- 2001-09-01
- Volume
- 58
- Issue
- 9
- Pages
- 853
- ISSN
- 0003-990X (ISSN-L)
- OpenAlex
- W2069655646
- Cited by
- 369
- References
- 6
- FWCI
- 8.71
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.