Evidence map›Paper›PMID 41322376›Full record

ArticleAlzheimer's & dementia (Amsterdam, Netherlands)

Toward targeted dementia prevention: Population attributable fractions and risk profiles in Germany.

Iris Blotenberg, Jochen René Thyrian

Abstract read
In one paragraph

Article in Alzheimer's & dementia (Amsterdam, Netherlands). 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. Review
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

2 authors.

Iris BlotenbergGerman Center for Neurodegenerative Diseases (DZNE) Greifswald Germany.ORCID https://orcid.org/0000-0002-2273-5564
Jochen René ThyrianGerman Center for Neurodegenerative Diseases (DZNE) Greifswald Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionEffective dementia prevention requires understanding the distribution of modifiable risk factors and identifying high-risk subgroups. We estimated the prevention potential in Germany and identified risk profiles to inform precision public health.

methodsWe analyzed nationally representative data from the 2023 German Aging Survey (

resultsAn estimated 36% of dementia cases in Germany are attributable to modifiable risk factors. Reducing their prevalence by 15%-30% could prevent 170,000-330,000 cases by 2050. We identified four risk profiles-metabolic, sensory impairment, alcohol, and lower-risk-each associated with demographic and regional characteristics. DISCUSSION: Our findings highlight considerable national prevention potential and reveal population subgroups with shared risk patterns. These profiles provide a foundation for designing targeted, equitable, and efficient dementia prevention strategies. Highlights: 36% of dementia cases in Germany are linked to modifiable risk factors.A 15% reduction in risk factor prevalence could prevent 170,000 cases by 2050.Key contributors: depression, hearing loss, low education, and obesity.Data-driven risk profiles identified (e.g., metabolic, sensory, low-risk).Risk profiles strongly associated with sociodemographic characteristics.

Indexed as

Alzheimer's diseasecognitioncognitive declinelifestylemodifiable risk factorspreventionrisk groups

Identifiers

PMID41322376
PMCPMC12657119

What Socratic holds

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LicenceCC BY
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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.