Evidence map›Paper›PMID 42311700›Full record

ArticleAlzheimer's & dementia (Amsterdam, Netherlands)

Optimizing scalable approaches for early detection of cognitive impairment in primary care.

Arthur H Owora, Diana Summanwar, Ambar Kulshreshtha, Zina Ben Miled, Paul R Dexter, Bowen Jiang, Yash Shah, Eric Puster, Katrina Coppedge, Shanell Disla and 3 more

Abstract read
In one paragraph

Article in Alzheimer's & dementia (Amsterdam, Netherlands). 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

13 authors.

Arthur H OworaTranslational Informatics, Biostatistics and Epidemiology Lab Indiana University School of Medicine Indianapolis Indiana USA.ORCID https://orcid.org/0000-0002-4580-7428
Diana SummanwarDepartment of Family Medicine Indiana University School of Medicine Indianapolis Indiana USA.
Ambar KulshreshthaDepartment of Family and Preventive Medicine Emory University Atlanta Georgia USA.
Zina Ben MiledPhillip M. Drayer Department of Electrical and Computer Engineering Lamar University Beaumont Texas USA.
Paul R DexterCenter for Biomedical Informatics Regenstrief Institute Indianapolis Indiana USA.
Bowen JiangTranslational Informatics, Biostatistics and Epidemiology Lab Indiana University School of Medicine Indianapolis Indiana USA.
Yash ShahTranslational Informatics, Biostatistics and Epidemiology Lab Indiana University School of Medicine Indianapolis Indiana USA.
Eric PusterDepartment of Medicine Indiana University School of Medicine Indianapolis Indiana USA.
Katrina CoppedgeIndiana University Center for Aging Research Indianapolis Indiana USA.
Shanell DislaComprehensive Center for Brain Health Department of Neurology University of Miami Miller School of Medicine Boca Raton Florida USA.
James E GalvinComprehensive Center for Brain Health Department of Neurology University of Miami Miller School of Medicine Boca Raton Florida USA.
Nicole R FowlerCenter for Biomedical Informatics Regenstrief Institute Indianapolis Indiana USA.
Malaz BoustaniCenter for Biomedical Informatics Regenstrief Institute Indianapolis Indiana USA.

Funding

Digital Detection of Dementia Studies (D cubed Studies).R01AG069765 · NIA · INDIANA UNIVERSITY INDIANAPOLIS · PI BEN-MILED, ZINA, BOUSTANI, MALAZ · 2020 to 2024
$4.9M
Developing a Childhood Asthma Risk Passive Digital MarkerK01HL166436 · NHLBI · TRUSTEES OF INDIANA UNIVERSITY · PI OWORA, ARTHUR HAMIE · 2023 to 2024
$324k
AHRQ HHS R03 HS029088NHLBI NIH HHS K01 HL166436NIA NIH HHS R01 AG069765
6 · The paper itself

Abstract

introductionUnrecognized cognitive impairment remains common in primary care, delaying access to care.

methodsWe conducted a prospective cross-sectional study to evaluate a multimodal screening approach combining a passive digital marker (PDM) from electronic health records with the Quick Dementia Rating System (QDRS).

resultsIndividually, each method showed limited discrimination (area under the curve [AUC] 0.61-0.62). The combined model, incorporating PDM, QDRS, and comorbidity context, improved performance (AUC 0.79; sensitivity 0.75; specificity 0.71). Decision curve analysis showed a net benefit of 0.5 at a 50% risk threshold, corresponding to a modest increase in correctly identified cases relative to alternative screening strategies. DISCUSSION: This low-burden, scalable multimodal approach improves detection of cognitive impairment, including mild cognitive impairment and Alzheimer's disease and related dementias, and may support improved risk stratification and referral prioritization in primary care.

Indexed as

Alzheimer's disease and related dementiaselectronic health record datamild cognitive impairmentpatient‐reported outcomes toolprimary careQuick Dementia Rating Systemscreening

Identifiers

PMID42311700
PMCPMC13269016

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.