Evidence map›Paper›PMID 33168064›Full record

ArticleAlzheimer's research & therapy2020

Prediction of Alzheimer's disease biomarker status defined by the 'ATN framework' among cognitively healthy individuals: results from the EPAD longitudinal cohort study.

Catherine M Calvin, Casper de Boer, Vanessa Raymont, John Gallacher, Ivan Koychev, European Prevention of Alzheimer’s Dementia (EPAD) Consortium

Open access · goldAbstract read
In one paragraph

Article in Alzheimer's research & therapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 6% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 55 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Plasma p-tau immunoassays in clinical research for Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Review
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  10. Genetic, vascular and amyloid components of cerebral blood flow in a preclinical population.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2023
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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 3 institutions in 2 countries.

Catherine M CalvinDepartment of Psychiatry, University of Oxford, Warneford Hospital, Oxford, OX3 7JX, UK.
Casper de BoerAlzheimer Center Amsterdam, Amsterdam UMC, Amsterdam, Netherlands.
Vanessa RaymontDepartment of Psychiatry, University of Oxford, Warneford Hospital, Oxford, OX3 7JX, UK.
John GallacherDepartment of Psychiatry, University of Oxford, Warneford Hospital, Oxford, OX3 7JX, UK.
Ivan KoychevDepartment of Psychiatry, University of Oxford, Warneford Hospital, Oxford, OX3 7JX, UK. ivan.koychev@psych.ox.ac.uk.
European Prevention of Alzheimer’s Dementia (EPAD) Consortium
University of Oxford · GBWarneford Hospital · GBAmsterdam University Medical Centers · NL

Funding

Medical Research Council MR/L023784/2The Dunhill Medical Trust R380R/1114
6 · The paper itself

Abstract

backgroundThe Amyloid/Tau/Neurodegeneration (ATN) framework has been proposed as a means of evidencing the biological state of Alzheimer's disease (AD). Predicting ATN status in pre-dementia individuals therefore provides an important opportunity for targeted recruitment into AD interventional studies. We investigated the extent to which ATN-defined biomarker status can be predicted by known AD risk factors as well as vascular-related composite risk scores.

methodsOne thousand ten cognitively healthy older adults were allocated to one of five ATN-defined biomarker categories. Multinomial logistic regression tested risk factors including age, sex, education, APOE4, family history of dementia, cognitive function, vascular risk indices (high systolic blood pressure, body mass index (BMI), high cholesterol, physical inactivity, ever smoked, blood pressure medication, diabetes, prior cardiovascular disease, atrial fibrillation and white matter lesion (WML) volume), and three vascular-related composite scores, to predict five ATN subgroups; ROC curve models estimated their added value in predicting pathology.

resultsAge, APOE4, family history, BMI, MMSE and white matter lesions (WML) volume differed between ATN biomarker groups. Prediction of Alzheimer's disease pathology (versus normal AD biomarkers) improved by 7% after adding family history, BMI, MMSE and WML to a ROC curve that included age, sex and APOE4. Risk composite scores did not add value.

conclusionsATN-defined Alzheimer's disease biomarker status prediction among cognitively healthy individuals is possible through a combination of constitutional and cardiovascular risk factors but established dementia composite risk scores do not appear to add value in this context.

Indexed as

Alzheimer DiseaseAgedAmyloid beta-PeptidesApolipoprotein E4BiomarkersHumansLongitudinal StudiesAmyloid beta-PeptidesApolipoprotein E4BiomarkersATN frameworkRisk scoresWhite matter lesions volume

Identifiers

PMID33168064
PMCPMC7650169
OpenAlexW3093654837

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.