Evidence map›Paper›PMID 33875021›Full record

ArticleAlzheimer's research & therapy2021

Strategies to reduce sample sizes in Alzheimer's disease primary and secondary prevention trials using longitudinal amyloid PET imaging.

Isadora Lopes Alves, Fiona Heeman, Lyduine E Collij, Gemma Salvadó, Nelleke Tolboom, Natàlia Vilor-Tejedor, Pawel Markiewicz, Maqsood Yaqub, David Cash, Elizabeth C Mormino and 6 more

Abstract read
In one paragraph

Article in Alzheimer's research & therapy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Quantitative Brain Amyloid PET.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2024
    Article
  3. Article
  4. ImprovingJournal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2024
    Article
  5. Impact of simulated reduced injected dose on the assessment of amyloid PET scans.European journal of nuclear medicine and molecular imaging · 2024
    Article
  6. Article
  7. Review
  8. Quantification of amyloid PET for future clinical use: a state-of-the-art review.European journal of nuclear medicine and molecular imaging · 2022
    Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. NRM 2021 Abstract Booklet.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2021
    Article
  14. Article
  15. Article
  16. Amyloid beta plaque accumulation with longitudinal [18F]AZD4694 PET.Alzheimer's & dementia (Amsterdam, Netherlands)
    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

16 authors.

Isadora Lopes AlvesDepartment of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands. i.lopesalves@amsterdamumc.nl.ORCID 0000-0002-1230-8139
Fiona HeemanDepartment of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.ORCID 0000-0001-7769-8329
Lyduine E CollijDepartment of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Gemma SalvadóBarcelonaβeta Brain Research Center, Pasqual Maragall Foundation, Barcelona, Spain.ORCID 0000-0002-5210-9230
Nelleke TolboomImaging Division, Department of Radiology, University Medical Center Utrecht, Utrecht, The Netherlands.
Natàlia Vilor-TejedorBarcelonaβeta Brain Research Center, Pasqual Maragall Foundation, Barcelona, Spain.
Pawel MarkiewiczCentre for Medical Image Computing, Medical Physics and Biomedical Engineering, UCL, London, UK.
Maqsood YaqubDepartment of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.ORCID 0000-0003-2122-740X
David CashDementia Research Centre, UCL Queen Square Institute of Neurology, London, UK.
Elizabeth C MorminoDepartment of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA.
Philip S InselClinical Memory Research Unit, Faculty of Medicine, Lund University, Lund, Sweden.
Ronald BoellaardDepartment of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Bart N M van BerckelDepartment of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Adriaan A LammertsmaDepartment of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.ORCID 0000-0003-1237-2891
Frederik BarkhofDepartment of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.ORCID 0000-0003-3543-3706
Juan Domingo GispertBarcelonaβeta Brain Research Center, Pasqual Maragall Foundation, Barcelona, Spain. jdgispert@barcelonabeta.org.ORCID 0000-0002-6155-0642

Funding

Smartphone-Based "Burst" Cognitive AssessmentsP01AG003991 · NIA · WASHINGTON UNIVERSITY · PI JOHN MORRIS · 1985 to 2026
$69.5M
The natural history of AB accumulation in preclinical ADP01AG026276 · NIA · WASHINGTON UNIVERSITY · PI MORRIS, JOHN · 2005 to 2025
$49.5M
NIA NIH HHS P01 AG003991NIA NIH HHS P01 AG026276
6 · The paper itself

Abstract

backgroundDetecting subtle-to-moderate biomarker changes such as those in amyloid PET imaging becomes increasingly relevant in the context of primary and secondary prevention of Alzheimer's disease (AD). This work aimed to determine if and when distribution volume ratio (DVR; derived from dynamic imaging) and regional quantitative values could improve statistical power in AD prevention trials.

methodsBaseline and annualized % change in [

resultsAlthough highly correlated to DVR (ρ = .96), cortical SUVR overestimated DVR cross-sectionally and in annual % change. In secondary prevention trials, DVR required 143 subjects per arm, compared with 176 for SUVR. Both restricting inclusion to individuals with intermediate amyloid burden levels or to APOE-ε4 carriers alone further reduced sample sizes. For primary prevention, SUVR required less subjects per arm (n = 855) compared with DVR (n = 1508) and the early composite also provided considerable sample size reductions (n = 855 to n = 509 for SUVR, n = 1508 to n = 734 for DVR).

conclusionSample sizes in AD secondary prevention trials can be reduced by the acquisition of dynamic PET scans and/or by restricting inclusion to subjects with intermediate amyloid burden or to APOE-ε4 carriers only. Using a targeted early composite only leads to reductions of sample size requirements in primary prevention trials. These findings support strategies to enable smaller Proof-of-Concept Phase II clinical trials to better streamline drug development.

Indexed as

Alzheimer DiseaseAmyloidAniline CompoundsBrainHumansPositron-Emission TomographySample SizeSecondary PreventionAmyloidAniline CompoundsAlzheimer’s diseaseAmyloidClinical trialPET imagingPreventionSample size

Identifiers

PMID33875021
PMCPMC8056524

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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.