Evidence map›Paper›PMID 34661106›Full record

ArticleBrain communications2021

Presumed small vessel disease, imaging and cognition markers in the Alzheimer's Disease Neuroimaging Initiative.

Cassidy M Fiford, Carole H Sudre, Alexandra L Young, Amy Macdougall, Jennifer Nicholas, Emily N Manning, Ian B Malone, Phoebe Walsh, Olivia Goodkin, Hugh G Pemberton and 6 more

Open access · goldAbstract read
In one paragraph

Article in Brain communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

4 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Biomarker pathway heterogeneity of amyloid-positive individuals.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
    Article
  4. 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 at 7 institutions in 2 countries.

Cassidy M FifordDementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, Queen Square, London WC1N 3BG, UK.
Carole H SudreDementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, Queen Square, London WC1N 3BG, UK.
Alexandra L YoungCentre for Medical Image Computing, University College London, London WC1V 6LJ, UK.ORCID https://orcid.org/0000-0002-7772-781X
Amy MacdougallDementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, Queen Square, London WC1N 3BG, UK.
Jennifer NicholasDementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, Queen Square, London WC1N 3BG, UK.
Emily N ManningDementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, Queen Square, London WC1N 3BG, UK.
Ian B MaloneDementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, Queen Square, London WC1N 3BG, UK.
Phoebe WalshDementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, Queen Square, London WC1N 3BG, UK.
Olivia GoodkinCentre for Medical Image Computing, University College London, London WC1V 6LJ, UK.ORCID https://orcid.org/0000-0001-9283-9716
Hugh G PembertonDementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, Queen Square, London WC1N 3BG, UK.ORCID https://orcid.org/0000-0001-8419-6423
Frederik BarkhofDepartment of Radiology and Nuclear Medicine, VU University Medical Center, Amsterdam Neuroscience, 1081 HV Amsterdam, The Netherlands.
Daniel C AlexanderCentre for Medical Image Computing, University College London, London WC1V 6LJ, UK.
M Jorge CardosoSchool of Biomedical Engineering and Imaging Sciences, King's College London, London SE1 7EH, UK.
Geert Jan BiesselsDepartment of Neurology and Neurosurgery, UMC Utrecht Brain Center, University Medical Center Utrecht, 3584 CG Utrecht, The Netherlands.
Josephine BarnesDementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, Queen Square, London WC1N 3BG, UK.
Alzheimer’s Disease Neuroimaging Initiative
NIHR Queen Square Dementia Biomedical Research Unit · GBKing's College London · GBUniversity College London · GBUniversity of London · GBAmsterdam Neuroscience · NLUniversity Medical Center Utrecht · NLWellcome Centre for Human Neuroimaging · GB

Funding

Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
EPA EP-W-17-011Medical Research Council MR/T027800/1NIA NIH HHS U01 AG024904Wellcome Trust
6 · The paper itself

Abstract

MRI-derived features of presumed cerebral small vessel disease are frequently found in Alzheimer's disease. Influences of such markers on disease-progression measures are poorly understood. We measured markers of presumed small vessel disease (white matter hyperintensity volumes; cerebral microbleeds) on baseline images of newly enrolled individuals in the Alzheimer's Disease Neuroimaging Initiative cohort (GO and 2) and used linear mixed models to relate these to subsequent atrophy and neuropsychological score change. We also assessed heterogeneity in white matter hyperintensity positioning within biomarker abnormality sequences, driven by the data, using the Subtype and Stage Inference algorithm. This study recruited both sexes and included: controls: [

Indexed as

Alzheimer’sbiomarkerscerebrovascular diseasemicrobleedswhite matter hyperintensities

Identifiers

PMID34661106
PMCPMC8514859
OpenAlexW3207530538

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.