Evidence map›Paper›PMID 41256113›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Reliability of remote self-administered web-based digital cognitive measures and comparison to in-person neuropsychological tests: Stricker Learning Span, Symbols Test and the Mayo Test Drive Screening Battery Composite.

Morgan A Hughes, Ryan D Frank, Rita L Taylor, Winnie Z Fan, Teresa J Christianson, Walter K Kremers, John L Stricker, Mary M Machulda, Jason Hassenstab, Michelle M Mielke and 8 more

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors.

Morgan A HughesDepartment of Anesthesia and Perioperative Medicine, Mayo Clinic, Rochester, Minnesota, USA.
Ryan D FrankDivision of Biomedical Statistics and Informatics, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA.
Rita L TaylorDivision of Neurocognitive Disorders, Department of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota, USA.
Winnie Z FanDivision of Biomedical Statistics and Informatics, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA.
Teresa J ChristiansonDivision of Biomedical Statistics and Informatics, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA.
Walter K KremersDivision of Biomedical Statistics and Informatics, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA.
John L StrickerDepartment of Information Technology, Mayo Clinic, Rochester, Minnesota, USA.
Mary M MachuldaDivision of Neurocognitive Disorders, Department of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota, USA.
Jason HassenstabDepartment of Neurology and Psychological & Brain Sciences, Washington University in Saint Louis, Saint Louis, Missouri, USA.
Michelle M MielkeDepartment of Epidemiology and Prevention, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA.
John A LucasDepartment of Psychiatry and Psychology, Mayo Clinic in Florida, Jacksonville, Florida, USA.
Paula A AduenDepartment of Psychiatry and Psychology, Mayo Clinic in Florida, Jacksonville, Florida, USA.
Gregory S DayDepartment of Neurology, Mayo Clinic in Florida, Jacksonville, Florida, USA.ORCID 0000-0001-5133-5538
Neill R Graff-RadfordDepartment of Neurology, Mayo Clinic in Florida, Jacksonville, Florida, USA.
Clifford R JackDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, USA.ORCID 0000-0001-7916-622X
Jonathan Graff-RadfordDepartment of Neurology, Mayo Clinic, Rochester, Minnesota, USA.
Ronald C PetersenDepartment of Neurology, Mayo Clinic, Rochester, Minnesota, USA.
Nikki H StrickerDivision of Neurocognitive Disorders, Department of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota, USA.ORCID 0000-0001-9034-1252

Funding

Early Onset AD Consortium - the LEAD Study (LEADS)U01AG057195 · NIA · INDIANA UNIVERSITY INDIANAPOLIS · PI APOSTOLOVA, LIANA G, CARRILLO, MARIA C · 2018 to 2023
$70.3M
Imaging CoreU19AG032438 · NIA · WASHINGTON UNIVERSITY · PI BATEMAN, RANDALL J · 2010 to 2025
$53.9M
SUPPLEMENT TO ALZHEIMERS DISEASE PATIENT REGISTRYU01AG006786 · NIA · MAYO CLINIC ROCHESTER · PI GRAFF-RADFORD, JONATHAN, JACK, CLIFFORD R. · 1986 to 2023
$49.6M
Research Education ComponentP30AG062677 · NIA · MAYO CLINIC ROCHESTER · PI KEJAL KANTARCI · 2019 to 2026
$33.5M
A Phase-2b, Double-Blind, Randomized Controlled Trial to Evaluate the Activity and Safety of Inebilizumab in Anti-N-methyl-D-aspartate receptor (NMDAR) Encephalitis and Assess Markers of DiseaseU01NS120901 · NINDS · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Stacey Lynn Clardy · 2021 to 2026
$19.6M
Rochester Epidemiology ProjectR01AG034676 · NIA · MAYO CLINIC ROCHESTER · PI ROCCA, WALTER A, ST SAUVER, JENNIFER LYNN · 2010 to 2019
$9.5M
Validation of the Mayo Test Drive Screening Battery Composite and Stricker Learning Span for Early Detection and Monitoring of Cognitive Decline in Preclinical and Prodromal Alzheimer’s DiseaseR01AG081955 · NIA · MAYO CLINIC ROCHESTER · PI Nikki H Stricker · 2024 to 2026
$4.4M
Bio-RaPID: Biomarkers and Rates of Progression In Dementia.R01AG089380 · NIA · MAYO CLINIC JACKSONVILLE · PI DAY, GREGORY SCOTT · 2024 to 2025
$4.1M
Stricker Learning Span: A Computer Adaptive Word List Memory Test Optimized for Remote AssessmentR21AG073967 · NIA · MAYO CLINIC ROCHESTER · PI STRICKER, NIKKI H · 2021 to 2021
$437k
NIA NIH HHS P30 AG062677NIA NIH HHS R01 AG034676NIA NIH HHS R01 AG081955NIA NIH HHS R01 AG089380NIA NIH HHS R21 AG073967NIA NIH HHS U01 AG006786NIA NIH HHS U01 AG057195NIA NIH HHS U19 AG032438NINDS NIH HHS U01 NS120901
6 · The paper itself

Abstract

introductionWe describe the reliability of remote self-administered digital cognitive measures completed via the Mayo Test Drive (MTD) web-based platform.

methods1,846 participants (mean age=70, SD=12, range 31-101; 48% male; 96% White; 99% non-Hispanic; 97% cognitively unimpaired) with 2-4 complete MTD sessions at ~7.5-month intervals were included. Test-retest reliability was assessed using single-rating, absolute-agreement, and two-way mixed intraclass correlation coefficients (ICCs) with 95% confidence intervals. ICCs for in-person-administered traditional neuropsychological measures were compared to MTD for a subset of 244 participants.

resultsReliability was good for the MTD Composite [total ICC = 0.79 (0.77, 0.80)], and moderate-to-good for the primary outcome variables for each MTD subtest [total ICCs 0.70-0.83 for Stricker Learning Span and Symbols]. The reliability of the remote self-administered MTD was similar to in-person-administered cognitive measures. DISCUSSION: MTD showed moderate-to-good reliability, supporting its use in longitudinal monitoring.

Indexed as

alternate form reliabilitycognitionCognitive AgingCognitively UnimpairedMild Cognitive Impairmentmobile healthNeuropsychological TestsneuropsychologyRemote Cognitive AssessmentSelf-AdministeredSmartphonetelemedicinetest-retest reliabilityUnsupervised

Identifiers

PMID41256113
PMCPMC12622071

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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 Socratic graph.