Evidence map›Paper›PMID 38919929›Full record

ArticleNeurology. Clinical practice2024

Association of the Area Deprivation Index With Dementia Basic Workup and Diagnosis in Central and Western Virginia: A Cross-Sectional Study.

Anelyssa D'Abreu, Azziza Bankole, Jaideep Kapur, Carol A Manning, Pavel Chernyavskiy

Abstract read
In one paragraph

Article in Neurology. Clinical practice, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

5 authors.

Anelyssa D'AbreuDepartments of Neurology (ADA, CAM, JK), Neuroscience (JK), and Public Health Sciences (PC), University of Virginia, Charlottesville; Department of Psychiatry and Behavioral Health (AB), Virginia Tech Carilion School of Medicine, Roanoke.ORCID https://orcid.org/0000-0001-6786-555X
Azziza BankoleDepartments of Neurology (ADA, CAM, JK), Neuroscience (JK), and Public Health Sciences (PC), University of Virginia, Charlottesville; Department of Psychiatry and Behavioral Health (AB), Virginia Tech Carilion School of Medicine, Roanoke.ORCID https://orcid.org/0000-0001-8585-4643
Jaideep KapurDepartments of Neurology (ADA, CAM, JK), Neuroscience (JK), and Public Health Sciences (PC), University of Virginia, Charlottesville; Department of Psychiatry and Behavioral Health (AB), Virginia Tech Carilion School of Medicine, Roanoke.ORCID https://orcid.org/0000-0002-8608-1352
Carol A ManningDepartments of Neurology (ADA, CAM, JK), Neuroscience (JK), and Public Health Sciences (PC), University of Virginia, Charlottesville; Department of Psychiatry and Behavioral Health (AB), Virginia Tech Carilion School of Medicine, Roanoke.ORCID https://orcid.org/0000-0003-4205-2485
Pavel ChernyavskiyDepartments of Neurology (ADA, CAM, JK), Neuroscience (JK), and Public Health Sciences (PC), University of Virginia, Charlottesville; Department of Psychiatry and Behavioral Health (AB), Virginia Tech Carilion School of Medicine, Roanoke.ORCID https://orcid.org/0000-0002-4664-3517

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objectives: The Area Deprivation Index (ADI) provides a validated and multidimensional metric of areal disadvantage. Our goals were to determine if the ADI influences the likelihood of receiving workup based on published guidelines and an etiologic diagnosis of dementia in Central and Western Virginia. Methods: We collected deidentified data from the electronic health record of individuals aged 50-105 years diagnosed with dementia at the University of Virginia (UVA) Medical Center (2016-2021) and at Carillion Clinic (2018-2021). Visit-specific ICD-10 codes were used to classify each dementia diagnosis as "disease-specific" (e.g., Alzheimer disease) or "general" (e.g., unspecified dementia). Following the American Academy of Neurology guidelines, we considered the evaluation performed as "adequate" if patients had vitamin B12, thyroid-stimulating hormone, and brain CT or magnetic resonance imaging within 6 months of the initial diagnosis. Census tract ADI was linked to study participants using the unique census tract identifier derived from the participants' home addresses at the time of diagnosis. Statistical modeling occurred under a Bayesian paradigm implemented using a standard code in R. Results: The study included 13,431 individuals diagnosed with dementia at UVA (n = 7,152) and Carillion Clinic (n = 6,279). Of those, 32.5% and 20.4% received "disease-specific" diagnoses at UVA and Carillion Clinic and 8.2% and 20.4% underwent "adequate" workup, respectively. The adjusted relationship between census tract ADI and the likelihood of a disease-specific diagnosis was U-shaped: Residence in moderately disadvantaged areas was associated with the lowest likelihood of disease-specific diagnosis. Discussion: Most patients diagnosed with dementia did not receive an adequate evaluation or an etiologic diagnosis. Those living in locations just above the national median ADI levels had the lowest likelihood of receiving an etiologic diagnosis, lower than those in the least and most deprived areas. Renewed awareness efforts among providers are needed to increase compliance with diagnostic guidelines.

Identifiers

PMID38919929
PMCPMC11195434

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