The DOI matches its Crossref record; 97 of the 97 references it cites were found in a registry or an index.
The Alzheimer's Disease Centers' Uniform Data Set (UDS): The Neuropsychologic Test Battery
Open accessAbstract
The neuropsychologic test battery from the Uniform Data Set (UDS) of the Alzheimer's Disease Centers (ADC) program of the National Institute on Aging consists of brief measures of attention, processing speed, executive function, episodic memory, and language. This paper describes development of the battery and preliminary data from the initial UDS evaluation of 3268 clinically cognitively normal men and women collected over the first 24 months of utilization. The subjects represent a sample of community-dwelling, individuals who volunteer for studies of cognitive aging. Subjects were considered "clinically cognitively normal" based on clinical assessment, including the Clinical Dementia Rating scale and the Functional Assessment Questionnaire. The results demonstrate performance on tests sensitive to cognitive aging and to the early stages of Alzheimer disease in a relatively well-educated sample. Regression models investigating the impact of age, education, and sex on test scores indicate that these variables will need to be incorporated in subsequent normative studies. Future plans include: (1) determining the psychometric properties of the battery; (2) establishing normative data, including norms for different ethnic minority groups; and (3) conducting longitudinal studies on cognitively normal subjects, individuals with mild cognitive impairment, and individuals with Alzheimer disease and other forms of dementia.
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
The Neuropsychiatric Inventory: Comprehensive assessment of psychopathology in dementia
Cummings, J. L., Mega, M., Gray, K., Rosenberg-Thompson, S., Carusi, D. A., & Gornbein, J. (1994) · Neurology · doi:10.1212/wnl.44.12.2308 · Cited by 7,568
Self-citationSheikh (1986) · doi:10.1300/j018v05n01_09 · Cited by 7,236
The processing-speed theory of adult age differences in cognition
Salthouse, T. A. (1996) · Psychological Review · doi:10.1037/0033-295x.103.3.403 · Cited by 5,902 · cited 1×
“Aging itself is associated with a reduction in the immediate span of attention [54], slowed processing speed [55,56], and a reduction in the amount of information that can be learned and retrieved over time [17,57–59].”
The Mini‐Mental State Examination: A Comprehensive Review
Tombaugh, T. N., & McIntyre, N. J. (1992) · Journal of the American Geriatrics Society · doi:10.1111/j.1532-5415.1992.tb01992.x · Cited by 5,152
Current concepts in mild cognitive impairment
Petersen, R. C., Doody, R., Kurz, A., Mohs, R. C., Morris, J. C., Rabins, P. V., Ritchie, K., Rossor, M., Thal, L., & Winblad, B. (2001) · Archives of Neurology · doi:10.1001/archneur.58.12.1985 · Cited by 4,781
Self-citationKaplan, E., Goodglass, H., Weıntraub, S., & Segal, O. (2001) · Medical Entomology and Zoology · Cited by 4,378
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
The Halstead-Reitan neuropsychological test battery: Theory and clinical interpretation
Reitan, R. M., & Wolfson, D. E. (1993) · Medical Entomology and Zoology · Cited by 3,413
Psychological Assessment Resources
Abidin, R. R. (1995) · Medical Entomology and Zoology · Cited by 3,140
Research works printed but not linked: 4
- Ferris, 1997, Assessing cognition in Alzheimer disease research, Alzheimer Dis Assoc Disord, 11, 45
- Albert, 2000, Early detection of Alzheimer's disease using neuropsychological testing, Neurobiol Aging, 21, S73, 10.1016/S0197-4580(00)82550-6 · doi:10.1016/s0197-4580(00)82550-6
- Goodglass, 2001, Boston Diagnostic Aphasia Examination Third Edition (BDAE-3)
- Chapman, 1997, Prose recall in dementia. A comparison of delay intervals, Arch Neurol, 54, 1501, 10.1001/archneur.1997.00550240053012 · doi:10.1001/archneur.1997.00550240053012
Cited by
Blood-brain barrier breakdown in the aging human hippocampus
Montagne, A., Barnes, S. R., Sweeney, M. D., Halliday, M. R., Sagare, A. P., Zhao, Z., Toga, A. W., Jacobs, R. E., Liu, C. Y., Amezcua, L., et al. (2015) · Neuron · doi:10.1016/j.neuron.2014.12.032 · Cited by 2,102
Self-citationAPOE4 leads to blood–brain barrier dysfunction predicting cognitive decline
Montagne, A., Nation, D. A., Sagare, A. P., Barisano, G., Sweeney, M. D., Chakhoyan, A., Pachicano, M., Joe, E., Nelson, A. R., D’Orazio, L. M., et al. (2020) · Nature · doi:10.1038/s41586-020-2247-3 · Cited by 1,281
Self-citationSex modifies the APOE ‐related risk of developing Alzheimer disease
Altmann, A., Tian, L., Henderson, V. W., Greicius, M. D., & Alzheimer's Disease Neuroimaging Initiative Investigators (2014) · Annals of Neurology · doi:10.1002/ana.24135 · Cited by 891
Toledo, J. B., Arnold, S. E., Raible, K., Brettschneider, J., Xie, S. X., Grossman, M., Monsell, S. E., Kukull, W. A., & Trojanowski, J. Q. (2013) · Brain · doi:10.1093/brain/awt188 · Cited by 849
Self-citationLaMontagne, P. J., Benzinger, T. L., Morris, J. C., Keefe, S., Hornbeck, R., Xiong, C., Grant, E., Hassenstab, J., Moulder, K., Vlassenko, A. G., et al. (2019) · medRxiv · doi:10.1101/2019.12.13.19014902 · Cited by 779
“Participants received an I.V. bolus injection of 5 mCi of [ 18 F]FDG followed by a dynamic 60min (consisting of 24 x 5 sec frames, 9 x 20 sec frames, 10 x 1 min frames and 9 x 5 min frames) PET acquisition.”
Self-citation
Metadata
- Authors
- Weintraub, S., Salmon, D., Mercaldo, N., Ferris, S., Graff-Radford, N. R., Chui, H., Cummings, J., DeCarli, C., Foster, N. L., Galasko, D., Peskind, E., Dietrich, W., Beekly, D. L., Kukull, W. A., & Morris, J. C.
- Venue
- Alzheimer Disease & Associated Disorders
- Published
- 2009-04
- Volume
- 23
- Issue
- 2
- Pages
- 91-101
- ISSN
- 0893-0341 (ISSN-L)
- OpenAlex
- W2172263413
- Cited by
- 888
- References
- 97
- FWCI
- 11.63
- Type
- journal article
- Language
- en
- Open access
- green
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The Alzheimer's Disease Centers' Uniform Data Set (UDS): The Neuropsychologic Test Battery. https://app.cochat.ai/papers/10.1097/wad.0b013e318191c7dd
- The paper
- Weintraub, S., Salmon, D., Mercaldo, N., Ferris, S., Graff-Radford, N. R., Chui, H., Cummings, J., DeCarli, C., Foster, N. L., Galasko, D., Peskind, E., Dietrich, W., Beekly, D. L., Kukull, W. A., & Morris, J. C. (2009). The Alzheimer's Disease Centers' Uniform Data Set (UDS): The Neuropsychologic Test Battery. Alzheimer Disease & Associated Disorders. https://doi.org/10.1097/wad.0b013e318191c7dd
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.