Evidence map›Paper›PMID 40847212›Full record

ArticleEuropean journal of epidemiology2025

The impact of modifiable risk factor reduction on future dementia burden: a microsimulation modeling study.

Chiara C Brück, Koen de Nijs, M Arfan Ikram, Frank J Wolters, Inge M C M de Kok

Abstract read
In one paragraph

Article in European journal of epidemiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

5 authors.

Chiara C BrückDepartment of Public Health, Erasmus MC University Medical Center, Rotterdam, The Netherlands. c.bruck@erasmusmc.nl.ORCID http://orcid.org/0000-0001-5677-269X
Koen de NijsDepartment of Public Health, Erasmus MC University Medical Center, Rotterdam, The Netherlands.ORCID http://orcid.org/0000-0003-1451-0557
M Arfan IkramDepartment of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands.ORCID http://orcid.org/0000-0003-0372-8585
Frank J WoltersDepartment of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands.ORCID http://orcid.org/0000-0003-0358-1675
Inge M C M de KokDepartment of Public Health, Erasmus MC University Medical Center, Rotterdam, The Netherlands.ORCID http://orcid.org/0000-0002-9419-0452

Funding

Alzheimer Nederland WE.08-2022-03ZonMw 10510032120005
6 · The paper itself

Abstract

Approximately 30%-50% of dementia cases are attributable to modifiable risk factors, but the impact of risk reduction strategies on dementia incidence at a population level is uncertain. Reliable estimates of intervention effects require accounting for changes in life expectancy when intervening on risk factors, and model realistic reduction scenarios that consider co-occurrence of risk factors. Using the microsimulation model MISCAN-Dementia, we assessed the effect of interventions on mid-life hypertension and late-life smoking on dementia and mortality risk. We modeled risk factor reductions, from small reductions to complete elimination, and evaluated effects on dementia incidence and prevalence, number of cases, and life years with and without dementia. All risk factor reductions resulted in lower dementia incidence and prevalence, fewer dementia cases, and more dementia-free life years. Eliminating smoking resulted in 1.4% fewer dementia cases for women and 2.5% for men over their lifetime. Eliminating hypertension reduced dementia cases by 1.1% for women and 3.3% for men. The number of dementia cases and life years with dementia decreased until around age 90, after which a slight increase was observed due to prolonged life expectancy with the reductions. Reducing smoking and hypertension will result in additional life years without dementia and a modest reduction in overall dementia cases, with some additional dementia cases in the oldest old. These findings emphasize the potential of dementia risk reduction strategies and the importance of considering concurrent changes in mortality when evaluating risk factor reductions.

Indexed as

DementiaHypertensionRisk Reduction BehaviorAgedAged, 80 and overComputer SimulationFemaleHumansIncidenceLife ExpectancyMaleMiddle AgedPrevalenceRisk FactorsSmokingDementiaModelingPreventionRisk factors

Identifiers

PMID40847212
PMCPMC12537620

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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.