Evidence map›Paper›PMID 39726731›Full record

ArticleAlzheimer's & dementia (Amsterdam, Netherlands)

Feasibility, validity, and normative data for the remote Uniform Data Set neuropsychological battery at the University of Pennsylvania Alzheimer's Disease Research Center.

Katherine Hackett, Yidan Shi, Laura Schankel, Nicole Oliveira, Melissa Kelley, Hannah McCoubrey, Sara Manning Peskin, Kyra O'Brien, Sharon X Xie, David Wolk and 1 more

Abstract read
In one paragraph

Article in Alzheimer's & dementia (Amsterdam, Netherlands). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Trial
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Katherine HackettDepartment of Psychology and Neuroscience Temple University Philadelphia Pennsylvania USA.ORCID https://orcid.org/0000-0002-3595-1418
Yidan ShiDepartment of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine University of Pennsylvania Philadelphia Pennsylvania USA.
Laura SchankelDepartment of Neurology, Perelman School of Medicine University of Pennsylvania Philadelphia Pennsylvania USA.
Nicole OliveiraDepartment of Neurology, Perelman School of Medicine University of Pennsylvania Philadelphia Pennsylvania USA.
Melissa KelleyDepartment of Neurology, Perelman School of Medicine University of Pennsylvania Philadelphia Pennsylvania USA.
Hannah McCoubreyDepartment of Neurology, Perelman School of Medicine University of Pennsylvania Philadelphia Pennsylvania USA.
Sara Manning PeskinDepartment of Neurology, Perelman School of Medicine University of Pennsylvania Philadelphia Pennsylvania USA.
Kyra O'BrienDepartment of Neurology, Perelman School of Medicine University of Pennsylvania Philadelphia Pennsylvania USA.
Sharon X XieDepartment of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine University of Pennsylvania Philadelphia Pennsylvania USA.
David WolkDepartment of Neurology, Perelman School of Medicine University of Pennsylvania Philadelphia Pennsylvania USA.
Dawn Mechanic-HamiltonDepartment of Neurology, Perelman School of Medicine University of Pennsylvania Philadelphia Pennsylvania USA.ORCID https://orcid.org/0000-0002-8728-2420

Funding

Research Education ComponentP30AG072979 · NIA · UNIVERSITY OF PENNSYLVANIA · PI VIVIANNA M VAN DEERLIN · 2021 to 2026
$24.8M
Research Training for the Care of Vulnerable Older Adults with Alzheimer’s Disease and Related Dementias and Other Chronic ConditionsT32AG066598 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Alex D Federman · 2020 to 2026
$2.3M
Development of a Mobile Cognitive App for Detecting and Monitoring Change in Preclinical Alzheimer's DiseaseK23AG065499 · NIA · UNIVERSITY OF PENNSYLVANIA · PI MECHANIC-HAMILTON, DAWN J · 2020 to 2024
$884k
Validation of Smartphone-Derived Digital Phenotypes for Cognitive Assessment in Older AdultsF31AG069444 · NIA · TEMPLE UNIV OF THE COMMONWEALTH · PI HACKETT, KATHERINE · 2020 to 2022
$66k
NIA NIH HHS F31 AG069444NIA NIH HHS K23 AG065499NIA NIH HHS P30 AG072979NIA NIH HHS T32 AG066598
6 · The paper itself

Abstract

introductionWe investigated the feasibility and validity of the remotely-administered neuropsychological battery from the National Alzheimer's Coordinating Center Uniform Data Set (UDS T-Cog).

methodsTwo hundred twenty Penn Alzheimer's Disease Research Center participants with unimpaired cognition, mild cognitive impairment, and dementia completed the T-Cog during their annual UDS evaluation. We assessed administration feasibility and diagnostic group differences cross-sectionally across telephone versus videoconference modalities, and compared T-Cog to prior in-person UDS scores longitudinally.

resultsAdministration time averaged 54 min and 79% of participants who initiated a T-Cog completed all 12 subtests; completion time and rates differed by diagnostic group but not by modality. Performance varied expectedly across groups with moderate to strong associations between most T-Cog measures and in-person correlates, although select subtests demonstrated lower comparability. DISCUSSION: The T-Cog is feasibly administered and shows preliminary validity in a cognitively heterogeneous cohort. Normative data from this cohort should be expanded to more diverse populations to enhance utility and generalizability. Highlights: This study examined the feasibility and validity of the remote Uniform Data Set (also known as the T-Cog) and contributes key normative data for widespread use.A remote neuropsychological battery was feasibly administered with high overall engagement and completion rates, adequate reliability compared to in-person testing, and evidence of validity across diagnostic groups.Typical barriers to administration included hearing impairment, technology issues, and distractions; hearing difficulties were particularly common among cognitively impaired groups.Certain tests were less closely related to their in-person correlates and should be used with caution.

Indexed as

accessibilityAlzheimer's Disease Research CenterCOVID‐19digital neuropsychologynormative dataT‐CogteleneuropsychologyUniform Data Set

Identifiers

PMID39726731
PMCPMC11670303

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.