Evidence map›Paper›PMID 41929974›Full record

ReviewJournal of Alzheimer's disease reports

Characteristics of publicly available digital dementia risk screening tools: A scoping review.

Zandile Rwodzi, Maddison L Mellow, Dan Ping Wu, Kate Laver, Dorothea Dumuid, Ashleigh E Smith

Abstract readReview
In one paragraph

Review in Journal of Alzheimer's disease reports. 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

6 authors.

Zandile RwodziAlliance for Research in Exercise, Nutrition and Activity (ARENA) Research Centre, Allied Health and Human Performance, College of Health, Adelaide University, Adelaide, South Australia, Australia.ORCID https://orcid.org/0000-0001-7859-9285
Maddison L MellowAlliance for Research in Exercise, Nutrition and Activity (ARENA) Research Centre, Allied Health and Human Performance, College of Health, Adelaide University, Adelaide, South Australia, Australia.ORCID https://orcid.org/0000-0002-0514-8261
Dan Ping WuAlliance for Research in Exercise, Nutrition and Activity (ARENA) Research Centre, Allied Health and Human Performance, College of Health, Adelaide University, Adelaide, South Australia, Australia.
Kate LaverCaring Futures Institute, Flinders University, Adelaide, South Australia, Australia.ORCID https://orcid.org/0000-0003-0259-2209
Dorothea DumuidAlliance for Research in Exercise, Nutrition and Activity (ARENA) Research Centre, Allied Health and Human Performance, College of Health, Adelaide University, Adelaide, South Australia, Australia.
Ashleigh E SmithAlliance for Research in Exercise, Nutrition and Activity (ARENA) Research Centre, Allied Health and Human Performance, College of Health, Adelaide University, Adelaide, South Australia, Australia.ORCID https://orcid.org/0000-0001-6316-2259

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Alzheimer's disease and related dementias have long prodromal phases during which addressing modifiable lifestyle factors may help delay onset. Digital dementia risk screening tools are emerging as an accessible method to convey risk information and promote preventive strategies. However, little is known about the characteristics, intended users, and risk factor coverage of these tools. Objective: To identify and summarize publicly available digital dementia risk screening tools, including their components (risk factors), administration methods, target populations, and implementation settings. Methods: A two-phase systematic search was conducted. Phase 1 involved searching Embase, MEDLINE (Ovid), APA PsycINFO, and Google Scholar for digital dementia screening tools. To be included in this review, tools needed to be publicly available, focused on dementia, containing at least one modifiable risk factor, targeted at adults, and published in English. Phase 2 examined the psychometric properties of the identified tools (when administered to older adults). Results: Eleven tools met inclusion criteria: CogDrisk, ANU-ADRI, BDSI, DemPort, UKBDRS, CAIDE, LIBRA, Alzhe Alert, DRA, UKB-DRP, and the Knight Alzheimer's Disease Risk Calculator. Tools were web- or app-based and designed for use by individuals, clinicians, or researchers. While the most recent Lancet Commission outlines 14 modifiable risk factors, only 11 were covered across these tools. Only one tool had reported psychometric properties. Conclusions: Several digital tools for dementia risk screening are publicly available, but most remain in early development and require further validation in real-world adult populations. Future research should evaluate their reliability and effectiveness to support early identification and behavior change.

Indexed as

Alzheimer's diseasecognitive impairmentdigital healthlifestyle factorsmodifiable risk factorsrisk reduction

Identifiers

PMID41929974
PMCPMC13039072

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.