Evidence map›Paper›PMID 29243120›Full record

ArticleBrain imaging and behavior2019

Validated Alzheimer's Disease Risk Index (ANU-ADRI) is associated with smaller volumes in the default mode network in the early 60s.

Nicolas Cherbuin, Marnie E Shaw, Erin Walsh, Perminder Sachdev, Kaarin J Anstey

Open access · hybridAbstract readValidation Study
In one paragraph

Article in Brain imaging and behavior, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 20% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Article
  5. Article
  6. Review
  7. Observational
  8. Review
  9. Article
  10. An update on magnetic resonance imaging markers in AD.Therapeutic advances in neurological disorders · 2020
    Review
  11. 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

5 authors at 2 institutions in 1 country.

Nicolas CherbuinCentre for Research on Ageing, Health and Wellbeing, Australian National University, 54 Mills Road, Canberra, ACT, 2601, Australia. nicolas.cherbuin@anu.edu.au.ORCID http://orcid.org/0000-0001-6481-0748
Marnie E ShawCentre for Research on Ageing, Health and Wellbeing, Australian National University, 54 Mills Road, Canberra, ACT, 2601, Australia.
Erin WalshCentre for Research on Ageing, Health and Wellbeing, Australian National University, 54 Mills Road, Canberra, ACT, 2601, Australia.
Perminder SachdevSchool of Psychiatry, University of New South Wales, Sydney, Australia.
Kaarin J AnsteyCentre for Research on Ageing, Health and Wellbeing, Australian National University, 54 Mills Road, Canberra, ACT, 2601, Australia.
Australian National University · AUUNSW Sydney · AU

Funding

Australian Research Council 120100227National Computational Infrastructure J66National Health and Medical Research Council 1063907National Health and Medical Research Council 973302, 179805, 157125, 1002560
6 · The paper itself

Abstract

Strong evidence is available suggesting that effective reduction of exposure to demonstrated modifiable risk factors in mid-life or before could significantly decrease the incidence of Alzheimer's disease (AD) and delay its onset. A key ingredient to achieving this goal is the reliable identification of individuals at risk well before they develop clinical symptoms. The aim of this study was to provide further neuroimaging evidence of the effectiveness of a validated tool, the ANU Alzheimer's Disease Risk Index, for the assessment of future risk of cognitive decline. Participants were 461 (60-64 years, 48% female) community-living individuals free of dementia at baseline. Associations between risk estimates obtained with the ANU-ADRI, total and regional brain volumes including in the default mode network (DMN) measured at the same assessment and diagnosis of MCI/dementia over a 12-year follow-up were tested in a large sample of community-living individuals free of dementia at baseline. Higher risk estimates on the ANU-ADRI were associated with lower cortical gray matter and particularly in the DMN. Importantly, difference in participants with high and low risk scores explained 7-9% of the observed difference in gray matter volume. In this sample, every one additional risk point on the ANU-ADRI was associated with an 8% increased risk of developing MCI/dementia over a 12-year follow-up and this association was partly mediated by a sub-region of the DMN. Risk of cognitive decline assessed with a validated instrument is associated with gray matter volume, particularly in the DMN, a region known to be implicated in the pathological process of the disease.

Indexed as

Magnetic Resonance ImagingRisk AssessmentAlzheimer DiseaseBrainCognitive DysfunctionFemaleFollow-Up StudiesHumansMaleMiddle AgedOrgan SizeRisk FactorsANU-ADRIDementia riskDMNMCIMRI

Identifiers

PMID29243120
PMCPMC6409311
OpenAlexW2773298449

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.