Evidence map›Paper›PMID 38886831›Full record

ArticleAlzheimer's research & therapy2024

Amyloid-PET imaging predicts functional decline in clinically normal individuals.

Lisa Quenon, Lyduine E Collij, David Vállez Garcia, Isadora Lopes Alves, Thomas Gérard, Vincent Malotaux, Lara Huyghe, Juan Domingo Gispert, Frank Jessen, Pieter Jelle Visser and 26 more

Abstract read
In one paragraph

Article in Alzheimer's research & therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  5. Article
  6. White matterAlzheimer's research & therapy · 2026
    Article
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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

36 authors.

Lisa QuenonInstitute of Neuroscience, UCLouvain, Brussels, Belgium. lisa.quenon@uclouvain.be.
Lyduine E CollijDepartment of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
David Vállez GarciaDepartment of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Isadora Lopes AlvesDepartment of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Thomas GérardInstitute of Neuroscience, UCLouvain, Brussels, Belgium.
Vincent MalotauxInstitute of Neuroscience, UCLouvain, Brussels, Belgium.
Lara HuygheInstitute of Neuroscience, UCLouvain, Brussels, Belgium.
Juan Domingo GispertBarcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain.
Frank JessenGerman Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.
Pieter Jelle VisserAlzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands.
Anouk den BraberAmsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands.
Craig W RitchieCentre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.
Mercè BoadaAce Alzheimer Center Barcelona - Universitat Internacional de Catalunya, Barcelona, Spain.
Marta MarquiéAce Alzheimer Center Barcelona - Universitat Internacional de Catalunya, Barcelona, Spain.
Rik VandenbergheLaboratory for Cognitive Neurology, Department of Neurosciences, Leuven Brain Institute, KU Leuven, Louvain, Belgium.
Emma S LuckettLaboratory for Cognitive Neurology, Department of Neurosciences, Leuven Brain Institute, KU Leuven, Louvain, Belgium.
Michael SchöllWallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, Göteborg, Sweden.
Giovanni B FrisoniLaboratory of Neuroimaging of Aging (LANVIE), University of Geneva, Geneva, Switzerland.
Christopher BuckleyGE HealthCare, Pollards Wood, Amersham, UK.
Andrew StephensLife Molecular Imaging, Berlin, Germany.
Daniele AltomareNeurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy.
Lisa FordJohnson & Johnson Innovative Medicine, Titusville, NJ, USA.
Cindy BirckAlzheimer Europe, Luxembourg, Luxembourg.
Anja MettGE HealthCare, Glattbrugg, Switzerland.
Rossella GismondiLife Molecular Imaging, Berlin, Germany.
Robin WolzIXICO, London, UK.
Sylke GrootoonkIXICO, London, UK.
Richard ManberIXICO, London, UK.
Mahnaz ShekariBarcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain.
Renaud LhommelInstitute of Neuroscience, UCLouvain, Brussels, Belgium.
Laurence DricotInstitute of Neuroscience, UCLouvain, Brussels, Belgium.
Adrian IvanoiuInstitute of Neuroscience, UCLouvain, Brussels, Belgium.
Gill FarrarGE HealthCare, Pollards Wood, Amersham, UK.
Frederik BarkhofDepartment of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Bernard J HanseeuwInstitute of Neuroscience, UCLouvain, Brussels, Belgium.
AMYPAD Consortium

Funding

Fonds De La Recherche Scientifique - FNRS ASP32921248Fonds De La Recherche Scientifique - FNRS ASP40001776Fonds De La Recherche Scientifique - FNRS CCL grant #40010417Innovative Medicines Initiative 2 Joint Undertaking 115952SAO-FRA 2022/0026
6 · The paper itself

Abstract

backgroundThere is good evidence that elevated amyloid-β (Aβ) positron emission tomography (PET) signal is associated with cognitive decline in clinically normal (CN) individuals. However, it is less well established whether there is an association between the Aβ burden and decline in daily living activities in this population. Moreover, Aβ-PET Centiloids (CL) thresholds that can optimally predict functional decline have not yet been established.

methodsCross-sectional and longitudinal analyses over a mean three-year timeframe were performed on the European amyloid-PET imaging AMYPAD-PNHS dataset that phenotypes 1260 individuals, including 1032 CN individuals and 228 participants with questionable functional impairment. Amyloid-PET was assessed continuously on the Centiloid (CL) scale and using Aβ groups (CL < 12 = Aβ-, 12 ≤ CL ≤ 50 = Aβ-intermediate/Aβ± , CL > 50 = Aβ+). Functional abilities were longitudinally assessed using the Clinical Dementia Rating (Global-CDR, CDR-SOB) and the Amsterdam Instrumental Activities of Daily Living Questionnaire (A-IADL-Q). The Global-CDR was available for the 1260 participants at baseline, while baseline CDR-SOB and A-IADL-Q scores and longitudinal functional data were available for different subsamples that had similar characteristics to those of the entire sample.

resultsParticipants included 765 Aβ- (61%, Mdn

conclusionsAmyloid-PET quantification supports the identification of CN individuals at risk of functional decline.

trial registrationThe AMYPAD PNHS is registered at www.clinicaltrialsregister.eu with the EudraCT Number: 2018-002277-22.

Indexed as

Activities of Daily LivingAmyloid beta-PeptidesPositron-Emission TomographyAgedAged, 80 and overBrainCognitive DysfunctionCross-Sectional StudiesFemaleHumansLongitudinal StudiesMaleMiddle AgedAmyloid beta-PeptidesAmyloid-PETCentiloidFunctional declineInstrumental activities of daily livingPreclinical Alzheimer

Identifiers

PMID38886831
PMCPMC11181677

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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.