Evidence map›Paper›PMID 36193864›Full record

ArticleAlzheimer's & dementia : the journal of the Alzheimer's Association2023

Mid- and later-life risk factors for predicting neuropathological brain changes associated with Alzheimer's and vascular dementia: The Honolulu Asia Aging Study and the Age, Gene/Environment Susceptibility-Reykjavik Study.

Blossom C M Stephan, Denise M Gaughan, Steven Edland, Villi Gudnason, Lenore J Launer, Lon R White

Open access · hybridAbstract read
In one paragraph

Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 34% of its field
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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Identifying dementia neuropathology using low-burden clinical data.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
  3. Non-hemorrhagic imaging markers of cerebral amyloid angiopathy in memory clinic patients.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
    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

6 authors at 5 institutions in 3 countries.

Blossom C M StephanInstitute of Mental Health, Academic Unit 1: Mental Health & Clinical Neurosciences, School of Medicine, University of Nottingham, Nottingham, UK.
Denise M GaughanLaboratory of Epidemiology and Population Sciences, National Institute on Aging, Baltimore, Maryland, USA.
Steven EdlandDepartment of Neurosciences, University of California San Diego, La Jolla, California, USA.
Villi GudnasonIcelandic Heart Association, Kopavogur, Iceland.
Lenore J LaunerLaboratory of Epidemiology and Population Sciences, National Institute on Aging, Baltimore, Maryland, USA.
Lon R WhitePacific Health Research and Education Institute, Honolulu, Hawaii, USA.
National Institute on Aging · USHuman Longevity (United States) · USPacific Health Research and Education Institute · USUniversity of Iceland · ISUniversity of Nottingham · GB

Funding

Brain aging and cardiovascular risk factors and diseaseZIAAG007480 · NIA · NATIONAL INSTITUTE ON AGING · PI LAUNER, LENORE J · 2011 to 2025
$2.7M
Intramural NIH HHS ZIA AG007480
6 · The paper itself

Abstract

introductionDementia prediction models are necessary to inform the development of dementia risk reduction strategies. Here, we examine the utility of neuropathological-based risk scores to predict clinical dementia.

methodsModels were developed for predicting Alzheimer's disease (AD) and non-AD neuropathologies using the Honolulu Asia Aging neuropathological sub-study (HAAS; n = 852). Model accuracy for predicting clinical dementia, over 30 years, was tested in the non-autopsied HAAS sample (n = 2960) and the Age, Gene/Environment Susceptibility-Reykjavik Study (n = 4614).

resultsDifferent models were identified for predicting neurodegenerative and vascular neuropathology (c-statistic range: 0.62 to 0.72). These typically included age, APOE, and a blood pressure-related measure. The neurofibrillary tangle and micro-vascular lesion models showed good accuracy for predicting clinical vascular dementia. DISCUSSION: There may be shared risk factors across dementia-related lesions, suggesting common pathways. Strategies targeting these models may reduce risk or postpone clinical symptoms of dementia as well as reduce neuropathological burden associated with AD and vascular lesions.

Indexed as

Alzheimer DiseaseDementiaDementia, VascularAgingBrainHumansNeurofibrillary TanglesRisk FactorsAlzheimer's diseasedementianeuropathologyrisk predictionvascular disease

Identifiers

PMID36193864
PMCPMC12163906
OpenAlexW4301391703

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.