Evidence map›Paper›PMID 39135901›Full record

ArticleAlzheimer's & dementia (New York, N. Y.)

Rural-Urban mild cognitive impairment comparison in West Michigan through EHR.

Xiaodan Zhang, Martin Witteveen-Lane, Christine Skovira, Aakash A Dave, Jeffrey S Jones, Erin R McNeely, Michael R Lawrence, David G Morgan, Dave Chesla, Bin Chen

Abstract read
In one paragraph

Article in Alzheimer's & dementia (New York, N. Y.). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Bridging the diagnostic gap: Expanding dementia care navigation for timely diagnosis.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
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

10 authors.

Xiaodan ZhangDepartment of Pediatrics and Human Development Michigan State University Grand Rapids Michigan USA.ORCID https://orcid.org/0009-0005-1303-2639
Martin Witteveen-LaneOffice of Research Corewell Health West Michigan Grand Rapids Michigan USA.
Christine SkoviraDepartment of Pediatrics and Human Development Michigan State University Grand Rapids Michigan USA.
Aakash A DaveDepartment of Pediatrics and Human Development Michigan State University Grand Rapids Michigan USA.
Jeffrey S JonesDepartment of Emergency Medicine Michigan State University Grand Rapids Michigan USA.
Erin R McNeelyInternal Medicine Corewell Health West Michigan Grand Rapids Michigan USA.
Michael R LawrenceNeurology and Clinical Neuropsychology Corewell Health West Michigan Grand Rapids Michigan USA.
David G MorganDepartment of Translational Neuroscience Michigan State University Grand Rapids Michigan USA.
Dave CheslaOffice of Research Corewell Health West Michigan Grand Rapids Michigan USA.
Bin ChenDepartment of Pediatrics and Human Development Michigan State University Grand Rapids Michigan USA.

Funding

Research Education ComponentP30AG072931 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Henry L Paulson · 2021 to 2026
$26.5M
Repurpose open data to discover therapeutics for understudied diseasesR01GM134307 · NIGMS · MICHIGAN STATE UNIVERSITY · PI CHEN, BIN · 2019 to 2023
$2.5M
NIA NIH HHS P30 AG072931NIGMS NIH HHS R01 GM134307
6 · The paper itself

Abstract

introductionMild cognitive impairment (MCI) is a significant public health concern and a potential precursor to Alzheimer's disease (AD). This study leverages electronic health record (EHR) data to explore rural-urban differences in MCI incidence, risk factors, and healthcare navigation in West Michigan.

methodsAnalysis was conducted on 1,528,464 patients from Corewell Health West, using face-to-face encounters between 1/1/2015 and 7/31/2022. MCI cases were identified using International Classification of Diseases (ICD) codes, focusing on patients aged 45+ without prior MCI, dementia, or AD diagnoses. Incidence rates, cumulative incidences, primary care physicians (PCPs), and neuropsychology referral outcomes were examined across rural and urban areas. Risk factors were evaluated through univariate and multivariate Cox regression analyses. The geographic distribution of patient counts, hospital locations, and neurology department referrals were examined.

resultsAmong 423,592 patients, a higher MCI incidence rate was observed in urban settings compared to rural settings (3.83 vs. 3.22 per 1,000 person-years). However, sensitivity analysis revealed higher incidence rates in rural areas when including patients who progressed directly to dementia. Urban patients demonstrated higher rates of referrals to and completion of neurological services. While the risk factors for MCI were largely similar across urban and rural populations, urban-specific factors for incident MCI are hearing loss, inflammatory bowel disease, obstructive sleep apnea, insomnia, being African American, and being underweight. Common risk factors include diabetes, intracranial injury, cerebrovascular disease, coronary artery disease, stroke, Parkinson's disease, epilepsy, chronic obstructive pulmonary disease, depression, and increased age. Lower risk was associated with being female, having a higher body mass index, and having a higher diastolic blood pressure. DISCUSSION: This study highlights rural-urban differences in MCI incidence and access to care, suggesting potential underdiagnosis in rural areas likely due to reduced access to specialists. Future research should explore socioeconomic, environmental, and lifestyle determinants of MCI to refine prevention and management strategies across geographic settings. Highlights: Leveraged EHRs to explore rural-urban differences in MCI in West Michigan.Revealed a significant underdiagnosis of MCI, especially in rural areas.Observed lower rates of neurological referrals and completions for rural patients.Identified risk factors specific to rural and urban populations.

Indexed as

dementiaelectronic health recordshealth disparityincidence ratesmild cognitive impairmentrisk factorsurbanization

Identifiers

PMID39135901
PMCPMC11317927

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.