Evidence map›Paper›PMID 41282767›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Remote, self-administered, smartphone cognitive testing in a registry-based cohort: Feasibility, reliability, and validity findings.

Sreya Dhanam, Mark Sanderson-Cimino, Jack Carson Taylor, Emily W Paolillo, Ray Fregly, Winnie Kwang, Paul Maruff, Amy Wise, Hilary W Heuer, Leah K Forsberg and 8 more

Abstract readPreprint
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.

Sreya DhanamDepartment of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, CA, USA.
Mark Sanderson-CiminoDepartment of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, CA, USA.
Jack Carson TaylorDepartment of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, CA, USA.
Emily W PaolilloDepartment of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, CA, USA.
Ray FreglyDepartment of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, CA, USA.
Winnie KwangDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA.
Paul MaruffThe Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, Victoria, Australia.ORCID 0000-0002-6947-9537
Amy WiseDepartment of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, CA, USA.
Hilary W HeuerDepartment of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, CA, USA.
Leah K ForsbergDepartment of Neurology, Mayo Clinic, Rochester, Minnesota, USA.
Joel H KramerDepartment of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, CA, USA.
Bradley F BoeveDepartment of Neurology, Mayo Clinic, Rochester, Minnesota, USA.ORCID 0000-0002-4153-8187
Howard J RosenDepartment of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, CA, USA.
R Scott MackinVA Advanced Research Center, San Francisco, CA, USA.
Michael W WeinerDepartment of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, CA, USA.
Rachel L NoshenyVA Advanced Research Center, San Francisco, CA, USA.
Adam L BoxerDepartment of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, CA, USA.
Adam M StaffaroniDepartment of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, CA, USA.ORCID 0000-0002-3903-9805

Funding

Technology and Remote Assessment CoreU19AG063911 · NIA · MAYO CLINIC ROCHESTER · PI Bradley F Boeve · 2019 to 2026
$120.9M
TDP-43 Loss-of-Function: Biology to BiomarkersP01AG019724 · NIA · UNIVERSITY OF PENNSYLVANIA · PI Jennifer Merrilees · 2002 to 2026
$67.2M
The Alzheimer's Disease Tau Platform Clinical TrialR01AG078457 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BOXER, ADAM L., JOHNSON, KEITH A. · 2023 to 2024
$60.7M
The Four Repeat Tauopathy Neuroimaging InitiativeR01AG038791 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BOXER, ADAM L. · 2010 to 2020
$18.1M
Biomarker Evaluation in Young Onset Dementia from Diverse Populations (BEYONDD)R56AG075744 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BOXER, ADAM L., BYRD, DESIREE A · 2022 to 2022
$6.1M
Translational Epidemiology - Training for Research on Aging and Chronic diseaseT32AG049663 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Elizabeth Rose Mayeda, Mark J Pletcher · 2016 to 2026
$5.8M
Neurodevelopment in children from families with genetic frontotemporal dementia and Alzheimer’s diseaseR01AG071756 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SUZEE EURIE LEE · 2022 to 2026
$4.1M
Veri-T: A phase 1 Placebo-Controlled Trial of Verdiperstat in Semantic Variant Primary Progressive Aphasia Due to Underlying FTLD-TDPR01AG073482 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ADAM L. BOXER, Peter Alexander Ljubenkov · 2021 to 2026
$3.3M
Validating remote digital assessments for familial frontotemporal dementiaRF1AG077557 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI STAFFARONI, ADAM MARK · 2022 to 2022
$2.4M
Validating remote digital assessments for familial frontotemporal dementiaR01AG077557 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Adam Mark Staffaroni · 2025 to 2026
$1.6M
Passive digital phenotyping for capturing real-world neurobehavior in neurodegenerative diseaseK23AG084883 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Emily Paolillo · 2024 to 2026
$592k
NIA NIH HHS K23 AG084883NIA NIH HHS P01 AG019724NIA NIH HHS R01 AG038791NIA NIH HHS R01 AG071756NIA NIH HHS R01 AG073482NIA NIH HHS R01 AG077557NIA NIH HHS R01 AG078457NIA NIH HHS R56 AG075744NIA NIH HHS RF1 AG077557NIA NIH HHS T32 AG049663NIA NIH HHS U19 AG063911
6 · The paper itself

Abstract

Background: Remote, smartphone-based cognitive testing may improve access to cognitive assessments for Alzheimer's disease and related dementias. We evaluated the feasibility, reliability, and validity of unsupervised smartphone-based cognitive tests in a registry-based cohort. Methods: Adults without a record of cognitive impairment (N=1,815; ages 18-92) were recruited from the UCSF Brain Health Registry to complete unsupervised ALLFTD-mApp cognitive tasks three times over two weeks. Reliability was assessed with correlations between sessions. Linear regression models tested associations of ALLFTD-mApp tasks with demographics, self- and informant-rated cognitive concerns (Everyday Cognition Surveys; ECog), and web-based cognitive testing (CogState Brief Battery; CBB). Results: Adherence was high (82.2%) and usability favorable. Test-retest reliability was moderate to strong ( Conclusion: Findings support the feasibility, reliability, and validity of the ALLFTD-mApp in adults without a record of cognitive impairment.

Identifiers

PMID41282767
PMCPMC12636684

What OpenQuestion holds

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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.