Evidence map›Paper›PMID 35126079›Full record

ArticleFrontiers in neuroinformatics2021

Automated Detection of Candidate Subjects With Cerebral Microbleeds Using Machine Learning.

Vaanathi Sundaresan, Christoph Arthofer, Giovanna Zamboni, Robert A Dineen, Peter M Rothwell, Stamatios N Sotiropoulos, Dorothee P Auer, Daniel J Tozer, Hugh S Markus, Karla L Miller and 5 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in neuroinformatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Association of brain microbleeds with risk factors, cognition, and MRI markers in MESA.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2023
    Article
  5. 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

15 authors.

Vaanathi SundaresanNuffield Department of Clinical Neurosciences, Wellcome Centre for Integrative Neuroimaging, Oxford Centre for Functional MRI of the Brain, University of Oxford, Oxford, United Kingdom.
Christoph ArthoferNuffield Department of Clinical Neurosciences, Wellcome Centre for Integrative Neuroimaging, Oxford Centre for Functional MRI of the Brain, University of Oxford, Oxford, United Kingdom.
Giovanna ZamboniNuffield Department of Clinical Neurosciences, Wellcome Centre for Integrative Neuroimaging, Oxford Centre for Functional MRI of the Brain, University of Oxford, Oxford, United Kingdom.
Robert A DineenNIHR Nottingham Biomedical Research Centre, Queen's Medical Centre, University of Nottingham, Nottingham, United Kingdom.
Peter M RothwellWolfson Centre for Prevention of Stroke and Dementia, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom.
Stamatios N SotiropoulosNuffield Department of Clinical Neurosciences, Wellcome Centre for Integrative Neuroimaging, Oxford Centre for Functional MRI of the Brain, University of Oxford, Oxford, United Kingdom.
Dorothee P AuerNIHR Nottingham Biomedical Research Centre, Queen's Medical Centre, University of Nottingham, Nottingham, United Kingdom.
Daniel J TozerDepartment of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom.
Hugh S MarkusDepartment of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom.
Karla L MillerNuffield Department of Clinical Neurosciences, Wellcome Centre for Integrative Neuroimaging, Oxford Centre for Functional MRI of the Brain, University of Oxford, Oxford, United Kingdom.
Iulius DragonuSiemens Healthcare Ltd., Research and Collaborations GB & I, Frimley, United Kingdom.
Nikola SpriggStroke Trials Unit, Mental Health and Clinical Neuroscience, University of Nottingham, Nottingham, United Kingdom.
Fidel Alfaro-AlmagroNuffield Department of Clinical Neurosciences, Wellcome Centre for Integrative Neuroimaging, Oxford Centre for Functional MRI of the Brain, University of Oxford, Oxford, United Kingdom.
Mark JenkinsonNuffield Department of Clinical Neurosciences, Wellcome Centre for Integrative Neuroimaging, Oxford Centre for Functional MRI of the Brain, University of Oxford, Oxford, United Kingdom.
Ludovica GriffantiNuffield Department of Clinical Neurosciences, Wellcome Centre for Integrative Neuroimaging, Oxford Centre for Functional MRI of the Brain, University of Oxford, Oxford, United Kingdom.

Funding

British Heart Foundation PG/14/96/31262Medical Research Council MC_PC_17228Medical Research Council MC_QA137853Medical Research Council MR/L023784/2Wellcome Trust 202788/Z/16/Z
6 · The paper itself

Abstract

Cerebral microbleeds (CMBs) appear as small, circular, well defined hypointense lesions of a few mm in size on T2

Indexed as

cerebral microbleedsmachine learningstructural MRIsubject-level detectionsusceptibility weighted image (SWI)T2*-weighted MRIUK Biobank

Identifiers

PMID35126079
PMCPMC8811357

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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.