Evidence map›Paper›PMID 37313487›Full record

ArticleJournal of Alzheimer's disease reports2023

Dementia Risk Models in an Australian First Nations Population: Cross-Sectional Associations and Preparation for Follow-Up.

Fintan Thompson, Sarah Russell, Rachel Quigley, Betty Sagigi, Gavin Miller, Adrian Esterman, Linton R Harriss, Sean Taylor, Robyn McDermott, Edward Strivens

Abstract read
In one paragraph

Article in Journal of Alzheimer's disease reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Fintan ThompsonAustralian Institute of Tropical Health and Medicine, College of Public Health, Medical and Veterinary Sciences, James Cook University, Cairns, QLD, Australia.
Sarah RussellQueensland Health, Cairns and Hinterland Hospital and Health Service, Cairns, QLD, Australia.
Rachel QuigleyQueensland Health, Cairns and Hinterland Hospital and Health Service, Cairns, QLD, Australia.
Betty SagigiQueensland Health, Torres and Cape Hospital and Health Service, Thursday Island, QLD, Australia.
Gavin MillerQueensland Health, Cairns and Hinterland Hospital and Health Service, Cairns, QLD, Australia.
Adrian EstermanUniversity of South Australia, SA, Australia.
Linton R HarrissAustralian Institute of Tropical Health and Medicine, College of Public Health, Medical and Veterinary Sciences, James Cook University, Cairns, QLD, Australia.
Sean TaylorTop End Health Service, Northern Territory Government, Darwin, NT, Australia.
Robyn McDermottUniversity of South Australia, SA, Australia.
Edward StrivensQueensland Health, Cairns and Hinterland Hospital and Health Service, Cairns, QLD, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Reducing the burden of dementia in First Nations populations may be addressed through developing population specific methods to quantify future risk of dementia. Objective: To adapt existing dementia risk models to cross-sectional dementia prevalence data from a First Nations population in the Torres Strait region of Australia in preparation for follow-up of participants. To explore the diagnostic utility of these dementia risk models at detecting dementia. Methods: A literature review to identify existing externally validated dementia risk models. Adapting these models to cross-sectional data and assessing their diagnostic utility through area under the receiver operating characteristic curve (AUROC) analyses and calibration using Hosmer-Lemeshow Chi Results: Seven risk models could be adapted to the study data. The Aging, Cognition and Dementia (AgeCoDe) study, the Framingham Heart Study (FHS), and the Brief Dementia Screening Indicator (BDSI) had moderate diagnostic utility in identifying dementia (i.e., AUROC >0.70) before and after points for older age were removed. Conclusion: Seven existing dementia risk models could be adapted to this First Nations population, and three had some cross-sectional diagnostic utility. These models were designed to predict dementia incidence, so their applicability to identify prevalent cases would be limited. The risk scores derived in this study may have prognostic utility as participants are followed up over time. In the interim, this study highlights considerations when transporting and developing dementia risk models for First Nations populations.

Indexed as

Alzheimer’s diseaseAustraliadementiadiagnosticFirst NationsIndigenousrisk models

Identifiers

PMID37313487
PMCPMC10259055

What Socratic holds

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LicenceCC BY-NC
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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 Socratic graph.