Evidence map›Paper›PMID 39584665›Full record

ArticleJournal of primary care & community health

An Initial Exploratory Examination of the Sensitivity and Specificity of MyCog Mobile Using the Mini-Cog as a Proxy for Suspected Cognitive Impairment.

Stephanie Ruth Young, Elizabeth Dworak, Greg Byrne, Yusuke Shono, Manrui Zhang, Julia Yoshino Benavente, Lihua Yao, Mike Bass, Laura Curtis, Maria Varela Diaz and 4 more

Abstract read
In one paragraph

Article in Journal of primary care & community health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 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

14 authors.

Stephanie Ruth YoungNorthwestern University, Chicago, IL, USA.
Elizabeth DworakNorthwestern University, Chicago, IL, USA.
Greg ByrneNorthwestern University, Chicago, IL, USA.
Yusuke ShonoClaremont Colleges, Claremont, CA, USA.
Manrui ZhangNorthwestern University, Chicago, IL, USA.ORCID 0000-0001-8471-8578
Julia Yoshino BenaventeNorthwestern University, Chicago, IL, USA.
Lihua YaoNorthwestern University, Chicago, IL, USA.
Mike BassNorthwestern University, Chicago, IL, USA.ORCID 0000-0002-7732-6557
Laura CurtisNorthwestern University, Chicago, IL, USA.
Maria Varela DiazNorthwestern University, Chicago, IL, USA.
Callie JonesNorthwestern University, Chicago, IL, USA.
Richard GershonNorthwestern University, Chicago, IL, USA.
Michael WolfNorthwestern University, Chicago, IL, USA.
Cindy NowinskiNorthwestern University, Chicago, IL, USA.

Funding

Development and Validation of a Telehealth Strategy for Routine Detection of Cognitive Impairment in Primary Care: The MyCog Mobile AssessmentR01AG074245 · NIA · NORTHWESTERN UNIVERSITY AT CHICAGO · PI NOWINSKI, CINDY J., WOLF, MICHAEL S · 2021 to 2025
$3.8M
NIA NIH HHS R01 AG074245
6 · The paper itself

Abstract

objectivesTo help promote early detection of cognitive impairment in primary care, MyCog Mobile was designed as a cognitive screener that can be self-administered remotely on a personal smartphone. We explore the potential utility of MyCog Mobile in primary care by comparing MyCog Mobile to a commonly used screener, Mini-Cog.

methodsA sample of 200 older adults 65+ years (mean age = 72.56 years), completed the Mini-Cog and MyCog Mobile, which includes 2 memory measures and 2 executive functioning measures. A logistic regression model was conducted to predict failing Mini-Cog scores (≤2) based on MyCog Mobile measures.

resultsA total of 20 participants earned a Mini-Cog score ≤2. MyCog Mobile demonstrated an AUC of 0.83 (95% bootstrap CI [0.75, 0.95]), sensitivity of 0.76 (95% bootstrap CI [0.63, 0.97]), and specificity of .88 (95% bootstrap CI [0.63, 0.10]). The subtest Name Matching from MyFaces and MySorting were the only significant predictors of failed Mini-Cogs.

conclusionsMyCog Mobile demonstrated sensitivity and specificity to identify participants who failed the Mini-Cog, and may show promise as a screening tool for cognitive impairment in older adults. Further research is necessary to establish the clinical utility of MyCog Mobile in a larger sample using documented clinical diagnoses.

Indexed as

Cognitive DysfunctionSensitivity and SpecificityAgedAged, 80 and overExecutive FunctionFemaleHumansLogistic ModelsMaleMental Status and Dementia TestsMobile ApplicationsNeuropsychological TestsPrimary Health CareSmartphoneapp-based assessmentcognitive impairmentcognitive screeningolder adultsprimary care

Identifiers

PMID39584665
PMCPMC11590145

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LicenceCC BY-NC
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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.