Evidence map›Paper›PMID 32281303›Full record

Trial reportAlzheimer's & dementia : the journal of the Alzheimer's Association2020

Quantitative amyloid PET in Alzheimer's disease: the AMYPAD prognostic and natural history study.

Isadora Lopes Alves, Lyduine E Collij, Daniele Altomare, Giovanni B Frisoni, Laure Saint-Aubert, Pierre Payoux, Miia Kivipelto, Frank Jessen, Alexander Drzezga, Annebet Leeuwis and 17 more

Open access · bronzeAbstract readClinical TrialMulticenter Study
In one paragraph

Trial report in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
5.8field-weighted citation impact, top 3% 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

43 citing papers in PubMed, 74 citations in OpenAlex.

  1. Quantitative amyloid PET in Alzheimer's disease: the AMYPAD prognostic and natural history study.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2020
    Trial
  2. Article
  3. Article
  4. Article
  5. AI-enhanced Centiloid quantification of amyloid PET images.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  6. Article
  7. Observational
  8. Article
  9. Revisiting Centiloids using AI.Research square · 2025
    Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Quantitative Brain Amyloid PET.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2024
    Article
  20. 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

27 authors at 18 institutions in 9 countries.

Isadora Lopes AlvesDepartment of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.
Lyduine E CollijDepartment of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.
Daniele AltomareLaboratory of Neuroimaging of Aging (LANVIE), University of Geneva, Geneva, Switzerland.
Giovanni B FrisoniLaboratory of Neuroimaging of Aging (LANVIE), University of Geneva, Geneva, Switzerland.
Laure Saint-AubertDepartment of Nuclear Medicine, Imaging Pole, Toulouse, University Hospital, Toulouse, France.
Pierre PayouxDepartment of Nuclear Medicine, Imaging Pole, Toulouse, University Hospital, Toulouse, France.
Miia KivipeltoDepartment of Geriatric Medicine, Karolinska University Hospital Huddinge, Stockholm, Sweden.
Frank JessenDepartment of Nuclear Medicine, University of Cologne, Cologne, Germany.
Alexander DrzezgaDepartment of Nuclear Medicine, University of Cologne, Cologne, Germany.
Annebet LeeuwisDepartment of Neurology, Amsterdam UMC, Vrije Universiteit Amsterdam, Alzheimercenter, Amsterdam, the Netherlands.
Alle Meije WinkDepartment of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.
Pieter Jelle VisserDepartment of Neurology, Amsterdam UMC, Vrije Universiteit Amsterdam, Alzheimercenter, Amsterdam, the Netherlands.
Bart N M van BerckelDepartment of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.
Philip ScheltensDepartment of Neurology, Amsterdam UMC, Vrije Universiteit Amsterdam, Alzheimercenter, Amsterdam, the Netherlands.
Katherine R GrayIXICO Plc, London, United Kingdom.
Robin WolzIXICO Plc, London, United Kingdom.
Andrew StephensLife Molecular Imaging, GmbH, Berlin, Germany.
Rossella GismondiLife Molecular Imaging, GmbH, Berlin, Germany.
Christopher BuckelyGE Healthcare, Life Sciences, Amersham, United Kingdom.
Juan Domingo GispertBarcelona β Brain Research Center, Barcelona, Spain.
Mark SchmidtJanssen Pharmaceutica NV, Beerse, Belgium.
Lisa FordJanssen Pharmaceutica RND, Titusville, New Jersey, USA.
Craig RitchieCentre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom.
Gill FarrarGE Healthcare, Life Sciences, Amersham, United Kingdom.
Frederik BarkhofDepartment of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.
José Luis MolinuevoBarcelona β Brain Research Center, Barcelona, Spain.
AMYPAD ConsortiumDepartment of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.
Barcelonaβeta Brain Research Center · ESGeneral Electric (Spain) · ESIxico (United Kingdom) · GBUniversité Toulouse III - Paul Sabatier · FRUniversity Medical Center · USUniversity of Cologne · DEAmsterdam Neuroscience · NLAmsterdam UMC Location Vrije Universiteit Amsterdam · NLAmsterdam University Medical Centers · NLCentre for Biomedical Engineering and Physics · SEEdinburgh College · GBJanssen (Belgium) · BEJanssen (United States) · USKarolinska University Hospital · SEUniversity Hospital and Clinics · USUniversity Hospital of Geneva · CHUniversity of Geneva · CHVrije Universiteit Amsterdam · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe Amyloid Imaging to Prevent Alzheimer's Disease (AMYPAD) Prognostic and Natural History Study (PNHS) aims at understanding the role of amyloid imaging in the earliest stages of Alzheimer's disease (AD). AMYPAD PNHS adds (semi-)quantitative amyloid PET imaging to several European parent cohorts (PCs) to predict AD-related progression as well as address methodological challenges in amyloid PET.

methodsAMYPAD PNHS is an open-label, prospective, multi-center, cohort study recruiting from multiple PCs. Around 2000 participants will undergo baseline amyloid positron emission tomography (PET), half of whom will be invited for a follow-up PET 12 at least 12 months later.

resultsPrimary include several amyloid PET measurements (Centiloid, SUVr, BP EXPECTED IMPACT: Determining the role of amyloid PET for the understanding of this complex disease and potentially improving secondary prevention trials.

Indexed as

Alzheimer DiseasePositron-Emission TomographyAgedAmyloidBiomarkersDisease ProgressionEuropeFemaleHealthy VolunteersHumansLongitudinal StudiesMaleProspective StudiesAmyloidBiomarkersamyloidpositron emission tomography imagingpreclinical and prodromal Alzheimer's diseasesecondary prevention

Identifiers

PMID32281303
PMCPMC7984341
OpenAlexW3015893323

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.