Evidence map›Paper›PMID 33816757›Full record

ArticleAlzheimer's & dementia (Amsterdam, Netherlands)2021

Adding cognition to AT(N) models improves prediction of cognitive and functional decline.

Deirdre M O'Shea, Kelsey R Thomas, Breton Asken, Athene K W Lee, Jennifer D Davis, Paul F Malloy, Stephen P Salloway, Stephen Correia, Alzheimer's Disease Neuroimaging Initiative

Abstract read
In one paragraph

Article in Alzheimer's & dementia (Amsterdam, Netherlands), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Investigating cognition in midlife.Alzheimer's & dementia (New York, N. Y.) · 2021
    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

9 authors.

Deirdre M O'SheaDepartment of Psychiatry and Human Behavior Alpert Medical School of Brown University Providence Rhode Island USA.ORCID https://orcid.org/0000-0003-3313-7655
Kelsey R ThomasResearch Service, VA San Diego Healthcare System University of California San Diego San Diego California USA.
Breton AskenDepartment of Neurology University of California San Francisco San Francisco California USA.
Athene K W LeeDepartment of Psychiatry and Human Behavior Alpert Medical School of Brown University Providence Rhode Island USA.
Jennifer D DavisDepartment of Psychiatry and Human Behavior Alpert Medical School of Brown University Providence Rhode Island USA.
Paul F MalloyDepartment of Psychiatry and Human Behavior Alpert Medical School of Brown University Providence Rhode Island USA.
Stephen P SallowayDepartment of Psychiatry and Human Behavior Alpert Medical School of Brown University Providence Rhode Island USA.
Stephen CorreiaDepartment of Psychiatry and Human Behavior Alpert Medical School of Brown University Providence Rhode Island USA.
Alzheimer's Disease Neuroimaging Initiative

Funding

Tracking and Evaluation CoreU54GM115677 · NIGMS · BROWN UNIVERSITY · PI ROUNDS, SHARON IRENE SMITH · 2016 to 2025
$45.0M
NIGMS NIH HHS U54 GM115677
6 · The paper itself

Abstract

introductionThis study sought to determine whether adding cognition to a model with Alzheimer's disease biomarkers based on the amyloid, tau, and neurodegeneration/neuronal injury-AT(N)-biomarker framework predicts rates of cognitive and functional decline in older adults without dementia.

methodsThe study included 465 participants who completed amyloid positron emission tomography, cerebrospinal fluid phosphorylated tau, structural magnetic resonance imaging, and serial neuropsychological testing. Using the AT(N) framework and a newly validated cognitive metric as the independent variables, we used linear mixed effects models to examine a 4-year rate of change in cognitive and functional measures.

resultsThe inclusion of baseline cognitive status improved model fit in predicting rate of decline in outcomes above and beyond biomarker variables. Specifically, those with worse cognitive functioning at baseline had faster rates of memory and functional decline over a 4-year period, even when accounting for AT(N). DISCUSSION: Including a newly validated measure of baseline cognition may improve clinical prognosis in non-demented older adults beyond the use of AT(N) biomarkers alone.

Indexed as

agingAlzheimer's diseaseAT(N)cognitive declinedementiafunctional decline

Identifiers

PMID33816757
PMCPMC8012408

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.