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The Uniform Data Set (UDS): Clinical and Cognitive Variables and Descriptive Data From Alzheimer Disease Centers
John C. Morris, Sandra Weintraub, Helena Chang Chui, Jeffrey L. Cummings, Charles S DeCarli, Steven H. Ferris, Norman L. Foster, Douglas R Galasko, Neill R. Graff‐Radford, Elaine R. Peskind, Duane L. Beekly, Erin M. Ramos, Walter A. Kukull. Alzheimer Disease & Associated Disorders, 2006-10-01
Topic: Amyloid, tau and blood-test diagnosis
A Clinical Task Force, composed of clinical leaders from Alzheimer's Disease Centers (ADC), was convened by the National Institute on Aging to develop a uniform set of assessment procedures to characterize individuals with mild Alzheimer disease and mild cognitive impairment in comparison with nondemented aging. The resulting Uniform Data Set (UDS) defines a common set of clinical observations to be collected longitudinally on ADC participants in accordance with standard methods. The UDS was implemented at all ADCs on September 1, 2005. Data obtained with the UDS are submitted to the National Alzheimer's Coordinating Center and represent a unique and valuable source of data to support and stimulate collaborative research.
Cite this study APA, Vancouver, BibTeX · download .bib or .ris
APA 7th
Morris, J. C., Weintraub, S., Chui, H. C., Cummings, J. L., DeCarli, C. S., Ferris, S. H., et al. (2006). The Uniform Data Set (UDS): Clinical and Cognitive Variables and Descriptive Data From Alzheimer Disease Centers. Alzheimer Disease & Associated Disorders. https://doi.org/10.1097/01.wad.0000213865.09806.92
Vancouver
Morris JC, Weintraub S, Chui HC, Cummings JL, DeCarli CS, Ferris SH, et al. The Uniform Data Set (UDS): Clinical and Cognitive Variables and Descriptive Data From Alzheimer Disease Centers. Alzheimer Disease & Associated Disorders. 2006. doi:10.1097/01.wad.0000213865.09806.92. PMID: 17132964.
BibTeX
@article{morris2006-17132964,
author = {Morris, John C. and Weintraub, Sandra and Chui, Helena Chang and Cummings, Jeffrey L. and DeCarli, Charles S and Ferris, Steven H. and Foster, Norman L. and Galasko, Douglas R and Graff‐Radford, Neill R. and Peskind, Elaine R. and Beekly, Duane L. and Ramos, Erin M. and Kukull, Walter A.},
title = {{The Uniform Data Set (UDS): Clinical and Cognitive Variables and Descriptive Data From Alzheimer Disease Centers}},
journal = {Alzheimer Disease \& Associated Disorders},
year = {2006},
doi = {10.1097/01.wad.0000213865.09806.92},
pmid = {17132964},
url = {https://doi.org/10.1097/01.wad.0000213865.09806.92}
}
Built from the record alzhub holds for this paper, not looked up. Volume, issue and page numbers are not held in the record. The record names 13 authors; APA and Vancouver show the first six, BibTeX and the downloads carry all of them. Check the citation against the original before you use it.
Why it matters
Describes the Uniform Data Set, a common set of clinical and cognitive assessments that a National Institute on Aging task force developed for Alzheimer's Disease Centers to collect over time on people with mild Alzheimer disease, mild cognitive impairment and nondemented aging. The data go to the National Alzheimer's Coordinating Center to support shared research.
How this study scored 51/100
Published in a peer-reviewed journal. Scored zero for study design, sample size, effect reported, studied in people and randomised / blinded because the record does not state it. We have no data on strength of evidence, so that was left out: it earned 48 of the 95 points we could judge it on, which is 51 out of 100.
| Component | Points | Why |
|---|---|---|
| Journal tier | 7 / 10 | Tier 3 — peer-reviewed journal (Alzheimer Disease & Associated Disorders) |
| Journal's citation record | 1 / 4 | Alzheimer Disease & Associated Disorders: journal h-index 131 (OpenAlex, 2026-10-29) |
| Study design | 0 / 12 | No study design recorded — scores zero, not guessed (not stated in the record — scored 0) |
| Strength of evidence | — / 5 | No evidence rating recorded — left out of this score |
| Peer-review validation | 10 / 10 | Peer-reviewed. Published as an article in a named peer-reviewed journal. |
| How recent | 1 / 5 | 2006 — older than 20 years, still counted |
| Sample size | 0 / 4 | Participant count not stated — scores zero (not stated in the record — scored 0) |
| Effect reported | 0 / 3 | No effect size reported — scores zero (not stated in the record — scored 0) |
| Studied in people | 0 / 3 | Not stated whether this was studied in people — scores zero (not stated in the record — scored 0) |
| Randomised / blinded | 0 / 2 | No randomisation or blinding stated — scores zero (not stated in the record — scored 0) |
| Times cited | 6 / 7 | Cited 952 times (OpenAlex, 2026-10-10) |
| Citations per year | 4 / 5 | 43.3 citations a year over 22 year(s) since 2006 |
| Impact for its field and year | 4 / 6 | Cited 8.0× the average for papers of its field and year (OpenAlex FWCI) |
| Cited by studies here | 0 / 6 | No other study in this library cites it |
| Still being cited | 4 / 4 | Cited 218 times in 2024–2026 (2026 still in progress; OpenAlex) |
| Senior author's track record | 4 / 4 | Last-listed author Walter A. Kukull: h-index 107 (OpenAlex, whole career) |
| Institution's track record | 3 / 3 | University of Washington: institution h-index 3,540 (OpenAlex) |
| Multi-centre collaboration | 2 / 3 | OpenAlex lists 9 institution(s) in 1 country |
| Indexed in PubMed | 2 / 2 | Indexed in PubMed (PMID 17132964) |
| Free to read | 0 / 2 | Behind a paywall — scores zero |
| Points | 48 / 95 | Scored on 19 of 20 parts. We have no data for the rest, so they are left out: 48 of the 95 points we could judge it on is 51 out of 100. |
| Total | 51 / 100 | — |
What each of these 20 components measures, and what this score is not →
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