Evidence map›Paper›PMID 42081008›Full record

ArticleEuropean journal of epidemiology2026

Forecast of dementia prevalence in Germany and subnational regions until 2060 using microsimulation.

Katrin Schüssel, Gabriela Brückner, Helmut Schröder, Gabriele Doblhammer, Frank Jessen, Julian Ernst, Christopher Caratiola, Ralf Münnich

Abstract read
In one paragraph

Article in European journal of epidemiology, 2026. 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

8 authors.

Katrin SchüsselResearch Institute of AOK: Wissenschaftliches Institut der AOK (WIdO), Berlin, Germany. katrin.schuessel@wido.bv.aok.de.ORCID http://orcid.org/0000-0002-8377-2254
Gabriela BrücknerResearch Institute of AOK: Wissenschaftliches Institut der AOK (WIdO), Berlin, Germany.ORCID http://orcid.org/0009-0000-4464-5351
Helmut SchröderResearch Institute of AOK: Wissenschaftliches Institut der AOK (WIdO), Berlin, Germany.ORCID http://orcid.org/0009-0008-1447-6794
Gabriele DoblhammerChair of Empirical Methods in Social Science and Demography, Rostock University, Rostock, Germany.ORCID http://orcid.org/0000-0001-7746-0652
Frank JessenDepartment of Psychiatry, Medical Faculty, University of Cologne, Cologne, Germany.ORCID http://orcid.org/0000-0003-1067-2102
Julian ErnstEconomic and Social Statistics, Trier University, Trier, Germany.ORCID http://orcid.org/0009-0008-3679-1488
Christopher CaratiolaEconomic and Social Statistics, Trier University, Trier, Germany.ORCID http://orcid.org/0009-0008-3548-9367
Ralf MünnichEconomic and Social Statistics, Trier University, Trier, Germany.ORCID http://orcid.org/0000-0001-8285-5667

Funding

Deutsche Forschungsgemeinschaft DFG FOR 2559
6 · The paper itself

Abstract

The number of dementia cases is expected to rise in ageing societies with concomitant requirements for healthcare planning. While national figures for countries are widely available, subnational regional heterogeneity is rarely considered. This study aimed at projecting national and subnational dementia figures under different scenarios. Dementia and population figures where projected from 2018 to 2060 by microsimulation at the level of 400 counties within Germany. The German MikroSim model was supplemented with dementia-specific data on regional prevalence and national incidence and mortality figures. These data were derived from routine health insurance records of 27 million individuals within the AOK fund during pre-pandemic years 2017 to 2019 and adjusted to the total population of 2018. Scenarios with increasing life expectancy or prevention effects (decreasing dementia incidence by 1 to 2% per year) were calculated. Increasing life expectancy leads to dementia cases rising from 1.4 million in 2018 to 2.1 million in 2060, prevalence from 1.6 to 2.6% and the RWA (ratio of cases per 100 individuals of working age) from 2.6 to 4.7. In prevention scenarios, these figures are substantially lower: between 1.3 and 1.5 million cases, 1.6 and 1.9% prevalence and RWA between 2.9 and 3.4. Existing subnational regional differences in prevalence and RWA will become more pronounced in all scenarios. Growing life expectancy leads to an increase in dementia cases, which may be counteracted by preventive measures. Increasing regional heterogeneity in prevalence and RWA should be considered for health care planning.

Indexed as

DementiaAdultAgedAged, 80 and overFemaleForecastingGermanyHumansIncidenceLife ExpectancyMaleMiddle AgedPrevalenceDementiaGermanyHealth claims dataMicrosimulationPrevalenceSmall area regional differences

Identifiers

PMID42081008
PMCPMC13332974

What OpenQuestion holds

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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.