Evidence map›Paper›PMID 30376881›Full record

ReviewAlzheimer's research & therapy2018

Secondary prevention of Alzheimer's dementia: neuroimaging contributions.

Mara Ten Kate, Silvia Ingala, Adam J Schwarz, Nick C Fox, Gaël Chételat, Bart N M van Berckel, Michael Ewers, Christopher Foley, Juan Domingo Gispert, Derek Hill and 11 more

Open access · goldAbstract readReview
In one paragraph

Review in Alzheimer's research & therapy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
4.1field-weighted citation impact, top 5% 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

34 citing papers in PubMed, 59 citations in OpenAlex.

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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

21 authors at 11 institutions in 8 countries.

Mara Ten KateDepartment of Radiology and Nuclear Medicine, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, the Netherlands. m.tenkate1@vumc.nl.ORCID 0000-0002-8290-8543
Silvia IngalaDepartment of Radiology and Nuclear Medicine, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, the Netherlands.
Adam J SchwarzTakeda Pharmaceuticals Comparny, Cambridge, MA, USA.
Nick C FoxDementia Research Centre, Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK.
Gaël ChételatInstitut National de la Santé et de la Recherche Médicale, Inserm UMR-S U1237, Université de Caen-Normandie, GIP Cyceron, Caen, France.
Bart N M van BerckelDepartment of Radiology and Nuclear Medicine, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, the Netherlands.
Michael EwersInstitute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Munich, Germany.
Christopher FoleyGE Healthcare Life Sciences, Amersham, UK.
Juan Domingo GispertBarcelonaβeta Brain Research Center, Pasqual Maragall Foundation, Barcelona, Spain.
Derek HillIXICO Plc, London, UK.
Michael C IrizarryEli Lilly and Company, Indianapolis, Indiana, USA.
Adriaan A LammertsmaDepartment of Radiology and Nuclear Medicine, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, the Netherlands.
José Luis MolinuevoBarcelonaβeta Brain Research Center, Pasqual Maragall Foundation, Barcelona, Spain.
Craig RitchieCentre for Dementia Prevention, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.
Philip ScheltensAlzheimer Center & Department of Neurology, Neuroscience Campus Amsterdam, VU University Medical Center, PO Box 7056, 1007 MB, Amsterdam, the Netherlands.
Mark E SchmidtJanssen Pharmaceutica NV, Beerse, Belgium.
Pieter Jelle VisserAlzheimer Center & Department of Neurology, Neuroscience Campus Amsterdam, VU University Medical Center, PO Box 7056, 1007 MB, Amsterdam, the Netherlands.
Adam WaldmanCentre for Dementia Prevention, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.
Joanna WardlawCentre for Dementia Prevention, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.
Sven HallerAffidea Centre de Diagnostic Radiologique de Carouge, Geneva, Switzerland.
Frederik BarkhofDepartment of Radiology and Nuclear Medicine, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, the Netherlands.
Amsterdam Neuroscience · NLEli Lilly (United States) · USPasqual Maragall Foundation · ESUniversity of Edinburgh · GBAffidea · CHAlzheimer Scotland · GBInserm · FRIxico (United Kingdom) · GBJanssen (Belgium) · BELudwig-Maximilians-Universität München · DEUK Dementia Research Institute · GB

Funding

Medical Research Council MR/J006971/1Wellcome Trust
6 · The paper itself

Abstract

backgroundIn Alzheimer's disease (AD), pathological changes may arise up to 20 years before the onset of dementia. This pre-dementia window provides a unique opportunity for secondary prevention. However, exposing non-demented subjects to putative therapies requires reliable biomarkers for subject selection, stratification, and monitoring of treatment. Neuroimaging allows the detection of early pathological changes, and longitudinal imaging can assess the effect of interventions on markers of molecular pathology and rates of neurodegeneration. This is of particular importance in pre-dementia AD trials, where clinical outcomes have a limited ability to detect treatment effects within the typical time frame of a clinical trial. We review available evidence for the use of neuroimaging in clinical trials in pre-dementia AD. We appraise currently available imaging markers for subject selection, stratification, outcome measures, and safety in the context of such populations. MAIN BODY: Amyloid positron emission tomography (PET) is a validated in-vivo marker of fibrillar amyloid plaques. It is appropriate for inclusion in trials targeting the amyloid pathway, as well as to monitor treatment target engagement. Amyloid PET, however, has limited ability to stage the disease and does not perform well as a prognostic marker within the time frame of a pre-dementia AD trial. Structural magnetic resonance imaging (MRI), providing markers of neurodegeneration, can improve the identification of subjects at risk of imminent decline and hence play a role in subject inclusion. Atrophy rates (either hippocampal or whole brain), which can be reliably derived from structural MRI, are useful in tracking disease progression and have the potential to serve as outcome measures. MRI can also be used to assess comorbid vascular pathology and define homogeneous groups for inclusion or for subject stratification. Finally, MRI also plays an important role in trial safety monitoring, particularly the identification of amyloid-related imaging abnormalities (ARIA). Tau PET to measure neurofibrillary tangle burden is currently under development. Evidence to support the use of advanced MRI markers such as resting-state functional MRI, arterial spin labelling, and diffusion tensor imaging in pre-dementia AD is preliminary and requires further validation.

conclusionWe propose a strategy for longitudinal imaging to track early signs of AD including quantitative amyloid PET and yearly multiparametric MRI.

Indexed as

Alzheimer DiseaseBiomarkersBrainDisease ProgressionHumansLongitudinal StudiesNeuroimagingSecondary PreventionBiomarkersAlzheimer’s diseaseClinical trialsNeuroimagingSecondary prevention

Identifiers

PMID30376881
PMCPMC6208183
OpenAlexW2898978953

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.