Evidence map›Paper›PMID 42779999›Full record

ArticlemedRxiv : the preprint server for health sciences2026

Feasibility of remote self-administered cognitive assessment in an Alzheimer's disease treatment clinic.

Alyssa N Kaser, John L Stricker, Morgan A Hughes, Nick Corriveau-Lecavalier, Elizabeth A Boots, Mary M Machulda, Julie A Fields, David T Jones, Stuart J McCarter, Hugo Botha and 6 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2026. 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

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

16 authors.

Alyssa N KaserDepartment of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota, USA.ORCID 0000-0003-3224-1637
John L StrickerDepartment of Information Technology, Mayo Clinic, Rochester, Minnesota, USA.ORCID 0009-0000-5349-8541
Morgan A HughesDepartment of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota, USA.ORCID 0009-0008-7615-9532
Nick Corriveau-LecavalierDepartment of Neurology, Mayo Clinic, Rochester, Minnesota, USA.ORCID 0000-0002-6561-9870
Elizabeth A BootsDepartment of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota, USA.ORCID 0000-0002-4721-3703
Mary M MachuldaDepartment of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota, USA.ORCID 0000-0003-4834-5967
Julie A FieldsDepartment of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota, USA.
David T JonesDepartment of Neurology, Mayo Clinic, Rochester, Minnesota, USA.ORCID 0000-0002-4807-9833
Stuart J McCarterDepartment of Neurology, Mayo Clinic, Rochester, Minnesota, USA.
Hugo BothaDepartment of Neurology, Mayo Clinic, Rochester, Minnesota, USA.ORCID 0000-0003-4390-685X
Ryan P CoburnDepartment of Neurology, Mayo Clinic, Rochester, Minnesota, USA.ORCID 0000-0003-0878-0630
Camilo BermudezDepartment of Neurology, Mayo Clinic, Rochester, Minnesota, USA.ORCID 0000-0002-9461-5094
Bryan J NethDepartment of Neurology, Mayo Clinic, Rochester, Minnesota, USA.
Jonathan Graff-RadfordDepartment of Neurology, Mayo Clinic, Rochester, Minnesota, USA.ORCID 0000-0003-2770-0691
Vijay K RamananDepartment of Neurology, Mayo Clinic, Rochester, Minnesota, USA.ORCID 0000-0001-6591-8734
Nikki H StrickerDepartment of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota, USA.ORCID 0000-0001-9034-1252

Funding

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
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
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 R21 AG073967NIA NIH HHS U01 AG006786
6 · The paper itself

Abstract

Introduction: Remote cognitive assessments offer an accessible, scalable way to support clinical characterization and longitudinal monitoring of cognition. This study evaluates the feasibility of implementing Mayo Test Drive (MTD), a remote, self-administered digital cognitive assessment, within a specialized clinic focused on eligibility assessments for anti-amyloid therapies for Alzheimer's disease (AD). Method: Two-hundred and nine ( Results: Clinical diagnoses included 55.2% mild cognitive impairment (MCI), 31.0% mild dementia, and 11.6% moderate dementia, in addition to 2.2% cognitively unimpaired (CU), as determined by neurology consensus at a multidisciplinary case conference. Among those who initiated MTD ( Discussion: Remote digital cognitive assessment is feasible within the context of clinic eligibility evaluations for AD therapies. The high completion rates of MTD across clinical impairment levels in this setting support development of paths for broader use in cognitive characterization in AD care.

Indexed as

Alzheimer DiseaseCognitive TestMayo Test DriveMental Status and Dementia TestsRemote Assessment

Identifiers

PMID42779999
PMCPMC13596506

What OpenQuestion holds

Textmetadata
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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.