Evidence map›Paper›PMID 40960068›Full record

ArticleAlzheimer's & dementia : the journal of the Alzheimer's Association2025

Beyond NACC's Uniform Data Set for cognition: the impact of additional items on measurement precision.

Seo-Eun Choi, Shubhabrata Mukherjee, Laura E Gibbons, Emily H Trittschuh, Michael Lee, Phoebe Scollard, R Elizabeth Sanders, Beth E Snitz, C Elizabeth Shaaban, Oscar L Lopez and 4 more

Erratum issuedAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Seo-Eun ChoiDepartment of Medicine, University of Washington, Seattle, Washington, USA.
Shubhabrata MukherjeeDepartment of Medicine, University of Washington, Seattle, Washington, USA.
Laura E GibbonsDepartment of Medicine, University of Washington, Seattle, Washington, USA.
Emily H TrittschuhDepartment of Psychiatry and Behavioral Sciences, University of Washington, and Geriatrics Research, Education, and Clinical Center, VA Puget Sound Health Care System, Seattle, Washington, USA.
Michael LeeDepartment of Medicine, University of Washington, Seattle, Washington, USA.
Phoebe ScollardDepartment of Medicine, University of Washington, Seattle, Washington, USA.
R Elizabeth SandersDepartment of Medicine, University of Washington, Seattle, Washington, USA.
Beth E SnitzDepartment of Neurology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
C Elizabeth ShaabanDepartment of Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Oscar L LopezDepartment of Neurology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Jesse MezDepartment of Neurology, Boston University, Boston, Massachusetts, USA.
Andrew J SaykinIndiana Alzheimer's Disease Research Center, Indiana University School of Medicine, Indianapolis, Indiana, USA.
Timothy J HohmanVanderbilt Memory and Alzheimer's Center, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Paul K CraneDepartment of Medicine, University of Washington, Seattle, Washington, USA.

Funding

TREATMENT OF DEPRESSION IN ALZHEIMER'S DISEASEP50AG005133 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI KAMBOH, M. ILYAS · 1985 to 2019
$43.0M
MVP Data Integration into the ADSP Phenotype Harmonization ConsortiumU24AG074855 · NIA · VANDERBILT UNIVERSITY MEDICAL CENTER · PI CUCCARO, MICHAEL L, HOHMAN, TIMOTHY J · 2021 to 2025
$37.5M
Research Education ComponentP30AG066468 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SARAH B BERMAN · 2020 to 2026
$29.4M
University of Washington Alzheimer's Disease Research CenterP30AG066509 · NIA · UNIVERSITY OF WASHINGTON · PI Thomas J. Grabowski · 2020 to 2026
$29.0M
Ultrascale Machine Learning to Empower Discovery in Alzheimers Disease BiobanksU01AG068057 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Christos Davatzikos, Heng Huang · 2020 to 2026
$20.7M
Population neuroscience of sex differences in the Alzheimer's disease biomarker cascade: The role of cerebral small vessel diseaseK01AG071849 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI C. Elizabeth Shaaban · 2022 to 2026
$629k
NIA NIH HHS K01 AG071849NIA NIH HHS P30 AG066468NIA NIH HHS P30 AG066509NIA NIH HHS P50 AG005133NIA NIH HHS U01 AG068057NIA NIH HHS U24 AG074855
6 · The paper itself

Abstract

introductionWe sought to determine the implications of integrating additional cognitive test items beyond the items of the Uniform Data Set (UDS) administered by Alzheimer's Disease Research Centers (ADRCs).

methodsWe considered the UDS 1&2 and UDS 3 cognitive batteries alone ("UDS-only") and compared them to batteries augmented with additional items ("UDS-augmented") administered by the University of Pittsburgh, ADRC. We used confirmatory factor analyses to co-calibrate and harmonize three cognitive domains (memory, executive functioning, and language). Then we compared the UDS-only and UDS-augmented with respect to measurement precision, sample sizes required to detect 25% differences in rates of decline, and association between baseline scores and the hazard of converting from mild cognitive impairment to AD dementia.

resultsUDS-augmented substantially enhanced measurement precision across all cognitive domains for UDS 1&2 and UDS 3. DISCUSSION: There is substantial value in integrating item content beyond the UDS. HIGHLIGHTS: We considered items from the UDS 1&2 and UDS 3 cognitive batteries alongside augmented site-specific content for the memory, executive functioning, and language domains. Augmented scales improved measurement precision in each case. As expected, improved measurement precision facilitated better performance for each scale. It would be useful to integrate multiple sources of cognitive data into comprehensive estimates of domain performance.

Indexed as

Alzheimer DiseaseCognitionCognitive DysfunctionNeuropsychological TestsAgedAged, 80 and overExecutive FunctionFemaleHumansMalecognitiondementiaexecutive functioninglanguagemeasurement errormemorypsychometricsUniform Data Set

Identifiers

PMID40960068
PMCPMC12441808

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.