Evidence map›Paper›PMID 39703061›Full record

ArticleJournal of the International Neuropsychological Society : JINS2025

Retest reliability and reliable change of community-dwelling Black/African American older adults with and without mild cognitive impairment using NIH Toolbox-Cognition Battery and Cogstate Brief Battery for laptop.

Taylor Rigby, Voyko Kavcic, Sarah R Shair, Tanisha G Hill-Jarrett, Sarah Garcia, Jon Reader, Carol Persad, Arijit K Bhaumik, Subhamoy Pal, Benjamin M Hampstead and 1 more

Abstract read
In one paragraph

Article in Journal of the International Neuropsychological Society : JINS, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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.

Taylor RigbyMichigan Alzheimer's Disease Research Center, MI, USA.ORCID https://orcid.org/0000-0001-5095-9242
Voyko KavcicWayne State University, MI, USA.
Sarah R ShairDepartment of Veterans Affairs Medical Center, Ann Arbor, MI, USA.
Tanisha G Hill-JarrettDepartment of Neurology, Memory and Aging Center, University of California San Francisco, CA, USA.
Sarah GarciaDepartment of Psychology, Stetson University, FL, USA.
Jon ReaderMichigan Alzheimer's Disease Research Center, MI, USA.
Carol PersadMichigan Alzheimer's Disease Research Center, MI, USA.
Arijit K BhaumikMichigan Alzheimer's Disease Research Center, MI, USA.
Subhamoy PalMichigan Alzheimer's Disease Research Center, MI, USA.
Benjamin M HampsteadMichigan Alzheimer's Disease Research Center, MI, USA.
Bruno GiordaniMichigan Alzheimer's Disease Research Center, MI, USA.

Funding

Research Education ComponentP30AG072931 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Henry L Paulson · 2021 to 2026
$26.5M
Michigan Alzheimer's Disease Core CenterP30AG053760 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DODGE, HIROKO HAYAMA · 2016 to 2020
$10.1M
Identification of cognitive decline and dementia: Prediction by everyday driving behaviors and physiological responsesR01AG068338 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI GIORDANI, BRUNO, MURPHEY, YI LU · 2020 to 2024
$6.9M
Community-based approach to Early Identification of transitions to Mild Cognitive Impairment (MCI) and Alzheimer’s Disease (AD) in African AmericansR01AG054484 · NIA · WAYNE STATE UNIVERSITY · PI KAVCIC, VOYKO · 2018 to 2022
$3.3M
Structural Gendered RacismK23AG084871 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Tanisha G Hill-Jarrett · 2024 to 2026
$593k
Community-Based Early Identification of MCI in at Risk African AmericansR21AG046637 · NIA · WAYNE STATE UNIVERSITY · PI KAVCIC, VOYKO · 2014 to 2015
$414k
Exploring the Use of Deep Learning Neural Networks to Improve Dementia Detection: Automating Coding of the Clock-Drawing TestR21AG073971 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI HU, MENGYAO · 2021 to 2021
$407k
NIA NIH HHS K23 AG084871NIA NIH HHS P30 AG053760NIA NIH HHS P30 AG072931NIA NIH HHS R01 AG054484NIA NIH HHS R01 AG068338NIA NIH HHS R21 AG046637NIA NIH HHS R21 AG073971
6 · The paper itself

Abstract

objectiveWith the increased use of computer-based tests in clinical and research settings, assessing retest reliability and reliable change of NIH Toolbox-Cognition Battery (NIHTB-CB) and Cogstate Brief Battery (Cogstate) is essential. Previous studies used mostly White samples, but Black/African Americans (B/AAs) must be included in this research to ensure reliability.

methodParticipants were B/AA consensus-confirmed healthy controls (HCs) (n = 49) or mild cognitive impairment (MCI) (n = 34) adults 60-85 years that completed NIHTB-CB and Cogstate for laptop at two timepoints within 4 months. Intraclass correlations, the Bland-Altman method,

resultsNIHTB-CB composite reliability ranged from .81 to .93 (95% CIs [.37-.96]). The Fluid Composite demonstrated a significant difference between timepoints and was less consistent than the Crystallized Composite. Subtests were less consistent for MCIs (ICCs = .01-.89, CIs [-1.00-.95]) than for HCs (ICCs = .69-.93, CIs [.46-.92]). A moderate correlation was found for MCIs between timepoints and performance on the Total Composite (

conclusionsThe NIHTB-CB and Cogstate for laptop show promise for use in research with B/AAs and were reasonably stable up to 4 months. Still, differences were found between those with MCI and HCs. It is recommended that race and cognitive status be considered when using these measures.

Indexed as

Black or African AmericanCognitive DysfunctionNeuropsychological TestsAgedAged, 80 and overFemaleHumansIndependent LivingMaleMiddle AgedReproducibility of ResultsUnited StatesWhitecomputerized cognitive assessmentComputerized neuropsychological assessmentpractice effectspsychometricsreliability of testsreproducibility of results

Identifiers

PMID39703061
PMCPMC11957938

What OpenQuestion holds

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Read underepoch 390

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.