Evidence map›Paper›PMID 30298181›Full record

ArticleThe journal of prevention of Alzheimer's disease2018

Geographic Clusters of Alzheimer's Disease Mortality Rates in the USA: 2008-2012.

R W Amin, E M Yacko, R P Guttmann

Abstract read
In one paragraph

Article in The journal of prevention of Alzheimer's disease, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

3 authors.

R W AminRodney P. Guttmann, 11000 University Pkwy. Pensacola, Florida 32514. USA rpg@uwf.edu, 850-474-3449 (phone), 850-346-3182 (fax).
E M Yacko
R P Guttmann

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

importanceThe results identified geographic clusters of high and low Alzheimer's disease (AD)-related mortality across the contiguous United States. These clusters identify specific geographic groupings of counties that allow researchers to narrow the focus to identify some of the biopsychosocial variables contributing to increased or decreased AD mortality.

objectivesTo determine the extent to which geographic clusters exist where AD mortality significantly differs from the national average. Such knowledge could further future research in a more focused study of variables that are contributing to these differences.

designAge adjusted AD mortality rates were analyzed with a spatial cluster analysis using the disease surveillance software SatScanTM.

resultsThree large clusters had elevated age-adjusted AD mortality of at least 60% above the national average. These clusters were in Washington State, Iowa, and North and South Dakota. Below average AD mortality was observed in several areas including New York City, and parts of Arizona, California, Arkansas and Texas. Conclusion and Relevance: This study demonstrates the use of disease surveillance methodology in identifying geographic patterns of unusually high or low AD mortality rates in the USA. Such results provide supporting evidence of appropriate locations to test interventions with the goal to reduce AD mortality.

Indexed as

Age FactorsAlzheimer DiseaseCluster AnalysisEpidemiological MonitoringHumansMortalityRisk FactorsUnited Statesdisease surveillanceepidemiologymodelingMortality risk assessmentSatScanTMspatial analysis

Identifiers

PMID30298181
PMCPMC12280731

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LicenceCC BY-NC-ND
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Registered trials

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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.