Evidence map›Paper›PMID 40634647›Full record

ArticleJournal of general internal medicine2025

Performance of Older Adults on the Digital Clock and Recall Test Compared to the Montreal Cognitive Assessment in Primary Care Settings.

Dustin B Hammers, Daniel Schulman, Nicole R Fowler, Jane Musema, Jared R Brosch, Diana Summanwar, Kristen Swartzell, Connor Higgins, Russell Banks, Katherine J Selzler and 3 more

Erratum issuedAbstract readComparative Study
In one paragraph

Article in Journal of general internal medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Dustin B HammersDepartment of Neurology, Indiana University School of Medicine, 355 West 16th Street (GH4027), Indianapolis, IN, 46202, USA. HammersD@iu.edu.
Daniel SchulmanLinus Health, Boston, MA, USA.
Nicole R FowlerDepartment of Medicine and IU Center for Aging Research, Indiana University School of Medicine, Indianapolis, IN, USA.
Jane MusemaDepartment of Neurology, Indiana University School of Medicine, 355 West 16th Street (GH4027), Indianapolis, IN, 46202, USA.
Jared R BroschDepartment of Neurology, Indiana University School of Medicine, 355 West 16th Street (GH4027), Indianapolis, IN, 46202, USA.
Diana SummanwarDepartment of Family Medicine, Indiana University School of Medicine, Indianapolis, IN, USA.
Kristen SwartzellPurdue University School of Nursing, West Lafayette, IN, USA.
Connor HigginsLinus Health, Boston, MA, USA.
Russell BanksMichigan State University, East Lansing, MI, USA.
Katherine J SelzlerDavos Alzheimer Collaborative, Wayne, PA, USA.
Timothy MacLeodDavos Alzheimer Collaborative, Wayne, PA, USA.
Sean TobyneLinus Health, Boston, MA, USA.
Deanna R WillisDepartment of Family Medicine, Indiana University School of Medicine, Indianapolis, IN, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDigital cognitive assessment solutions can overcome some barriers to cognitive screening in primary care by providing rapidly obtained objective insights without requiring specialty trained examiners. Real-world comparison of digital assessments to standard screenings in primary care is limited.

objectiveOur objective was to compare performance on the Linus Health Digital Clock and Recall (DCR™) to the Montreal Cognitive Assessment (MOCA), which is a traditional "gold standard" cognitive screening test in primary care.

participantsA total of 114 primary care patients ≥ 65 years old completed a DCR as part of routine primary care and scored in the "Borderline" or "Impaired" ranges, and subsequently completed a MOCA at a follow-up primary care visit.

designCriterion and convergent validity analyses were conducted using Mann-Whitney U tests, concordance (agreement) rates, polychoric or polyserial correlations, and exploratory factor analysis. MAIN MEASURES: DCR and MOCA Total Scores and subcomponent scores. KEY

resultsDCR Total Score and select process scores successfully discriminated impairment on the MOCA using traditional cutoffs, and both agreement rates and correlations were strong between DCR and MOCA components-especially Total Scores comparisons. Exploratory factor analysis revealed a five-factor model whereby one factor was comprised of memory subtests from both the DCR and MOCA, and another was comprised of non-memory MOCA subtests and Information Processing/Spatial Reasoning subcomponents of the DCR.

conclusionsScreening in primary care using the DCR is feasible, and shows criterion and convergent validity with a "gold standard" screening tool for detecting cognitive impairment-the MOCA. When paired with parallel advancements in detection of plasma-based biomarkers and recent FDA approvals for disease-modifying treatments for Alzheimer's disease, the DCR and similar digital cognitive assessment tools have the potential to triage patients for both Alzheimer's disease diagnostic workups and subsequent treatments beyond specialty care.

Indexed as

Cognitive DysfunctionMental RecallMental Status and Dementia TestsAgedAged, 80 and overFemaleHumansMalePrimary Health CareCognitionDementiaDigital cognitive assessmentsPrimary care

Identifiers

PMID40634647
PMCPMC12586740

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.