Evidence map›Paper›PMID 41460835›Full record

ArticlePloS one2025

Mapping the mortality-to-incidence ratios of Alzheimer's Disease and Related Dementias (ADRDs): Evidence from the South Carolina Alzheimer's disease registry.

Eric Mishio Bawa, Daniel A Amoatika, Margaret C Miller, Bankole A Olatosi, Lorie Donelle, Sue E Levkoff, James W Hardin, Xiaoming Li, Leonardo Bonilha, Daniela B Friedman and 1 more

Abstract read
In one paragraph

Article in PloS one, 2025. 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

11 authors.

Eric Mishio BawaDepartment of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina, United States of America.ORCID https://orcid.org/0000-0003-4317-023X
Daniel A AmoatikaDepartment of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina, United States of America.
Margaret C MillerDepartment of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina, United States of America.
Bankole A OlatosiDepartment of Health Services Policy and Management, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina, United States of America.
Lorie DonelleOffice for the Study of Aging, University of South Carolina, Columbia, South Carolina, United States of America.
Sue E LevkoffOffice for the Study of Aging, University of South Carolina, Columbia, South Carolina, United States of America.
James W HardinDepartment of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina, United States of America.
Xiaoming LiDepartment of Health Promotion, Education, and Behavior, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina, United States of America.
Leonardo BonilhaOffice for the Study of Aging, University of South Carolina, Columbia, South Carolina, United States of America.
Daniela B FriedmanOffice for the Study of Aging, University of South Carolina, Columbia, South Carolina, United States of America.ORCID https://orcid.org/0000-0002-9359-093X
Swann Arp AdamsDepartment of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina, United States of America.ORCID https://orcid.org/0000-0001-5779-6802

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionMortality-to-incidence ratios (MIRs) are useful in assessing disease burdens and illustrating disparities. Unlike cancer, MIRs have not been applied to ADRDs. Therefore, we estimated and mapped the MIRs for ADRDs to show disparities in South Carolina.

methodsUsing data from the South Carolina Alzheimer's Disease Registry (2017-2021), ADRD MIRs were calculated by demographic and geospatial characteristics. To account for the influence of the COVID-19 pandemic, data from 2015 to 2019 were also examined. MIRs were calculated as age-adjusted mortality rates divided by age-adjusted incidence rates.

resultsOverall, Black people and rural individuals consistently experienced higher MIRs, with the COVID-19 pandemic increasing this disparity gap. MIRs greater than 1.00 were only observed among Black people. The MIR for 31 out of 46 counties exceeded the state average. DISCUSSION: Estimating and mapping ADRDs has aided in identifying specific areas with the greatest burden of ADRD in South Carolina for targeting interventions.

Indexed as

Alzheimer DiseaseCOVID-19DementiaAgedAged, 80 and overFemaleHumansIncidenceMaleMiddle AgedRegistriesRural PopulationSouth Carolina

Identifiers

PMID41460835
PMCPMC12747324

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.