Evidence map›Paper›PMID 35005210›Full record

ArticleAlzheimer's & dementia (New York, N. Y.)2021

Estimation of dementia prevalence at the local level in the United States.

Erin E Bennett, Abraham Kwan, Kan Z Gianattasio, Brittany Engelman, N Maritza Dowling, Melinda C Power

Open access · goldAbstract read
In one paragraph

Article in Alzheimer's & dementia (New York, N. Y.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 41% of its field
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

4 citing papers in PubMed, 3 citations in OpenAlex.

  1. Examining the Impact of LEADInternational journal of environmental research and public health · 2026
    Article
  2. Review
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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

6 authors at 1 institution in 1 country.

Erin E BennettDepartment of Epidemiology, Milken Institute School of Public Health George Washington University Washington District of Columbia USA.
Abraham KwanDepartment of Epidemiology, Milken Institute School of Public Health George Washington University Washington District of Columbia USA.
Kan Z GianattasioDepartment of Epidemiology, Milken Institute School of Public Health George Washington University Washington District of Columbia USA.
Brittany EngelmanDepartment of Epidemiology, Milken Institute School of Public Health George Washington University Washington District of Columbia USA.
N Maritza DowlingDepartment of Acute and Chronic Care, School of Nursing George Washington University Washington District of Columbia USA.
Melinda C PowerDepartment of Epidemiology, Milken Institute School of Public Health George Washington University Washington District of Columbia USA.
George Washington University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionEnsuring adequate and equitable distribution of resources to support persons living with dementia relies on understanding the burden and distribution of dementia in a population. Our goal was to develop an approach to estimate dementia prevalence at the local level in the United States using publicly available data.

methodsOur approach combines publicly available data on dementia prevalence and demographic data from the US Census to estimate dementia prevalence. We illustrate this approach by estimating dementia prevalence in persons aged 65 and older in Philadelphia, PA; Chicago, IL; and Atlanta, GA.

resultsOverall, we estimate the prevalence of dementia among those 65 and older to be 11.9% in Philadelphia, 11.8% Chicago, and 12.3% in Atlanta. Estimates across Philadelphia localities vary from 9.3% to 15.9%. DISCUSSION: Our approach provides a cost-effective method to generate estimates of dementia prevalence at the local level. HIGHLIGHTS: Brain health needs assessments require understanding of local dementia prevalence.Our approach can be used to estimate dementia prevalence in individual communities.This information can inform decisions about distribution of resources.

Indexed as

Alzheimer's diseasedementianeeds assessmentprevalencesurveillance

Identifiers

PMID35005210
PMCPMC8719342
OpenAlexW4206189320

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.