Evidence map›Paper›PMID 37102472›Full record

ReviewJournal of diabetes science and technology2024

Remote Digital Technologies for the Early Detection and Monitoring of Cognitive Decline in Patients With Type 2 Diabetes: Insights From Studies of Neurodegenerative Diseases.

Ashley Y DuBord, Emily W Paolillo, Adam M Staffaroni

Open access · hybridAbstract readReview
In one paragraph

Review in Journal of diabetes science and technology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.8field-weighted citation impact, top 16% of its field
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

7 citing papers in PubMed, 8 citations in OpenAlex.

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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

3 authors at 1 institution in 1 country.

Ashley Y DuBordDepartment of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA.ORCID 0000-0002-1478-7065
Emily W PaolilloDepartment of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA.ORCID 0000-0003-4188-6998
Adam M StaffaroniDepartment of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA.ORCID 0000-0002-3903-9805
University of California, San Francisco · US

Funding

Optimizing Clinical Trial Endpoints in Frontotemporal DementiaK23AG061253 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI STAFFARONI, ADAM MARK · 2019 to 2023
$946k
NIA NIH HHS K23 AG061253
6 · The paper itself

Abstract

Type 2 diabetes (T2D) is a risk factor for cognitive decline. In neurodegenerative disease research, remote digital cognitive assessments and unobtrusive sensors are gaining traction for their potential to improve early detection and monitoring of cognitive impairment. Given the high prevalence of cognitive impairments in T2D, these digital tools are highly relevant. Further research incorporating remote digital biomarkers of cognition, behavior, and motor functioning may enable comprehensive characterizations of patients with T2D and may ultimately improve clinical care and equitable access to research participation. The aim of this commentary article is to review the feasibility, validity, and limitations of using remote digital cognitive tests and unobtrusive detection methods to identify and monitor cognitive decline in neurodegenerative conditions and apply these insights to patients with T2D.

Indexed as

Cognitive DysfunctionDiabetes Mellitus, Type 2Early DiagnosisNeurodegenerative DiseasesDigital TechnologyHumansRemote Sensing TechnologyTelemedicineAlzheimer’s diseasecognitive declinedigital biomarkershealth technologymild cognitive impairmenttype 2 diabetes

Identifiers

PMID37102472
PMCPMC11528805
OpenAlexW4367174033

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.