Evidence map›Paper›PMID 38088067›Full record

ArticleMultiple sclerosis (Houndmills, Basingstoke, England)2024

A multicenter pilot study evaluating simplified central vein assessment for the diagnosis of multiple sclerosis.

Lynn Daboul, Carly M O'Donnell, Moein Amin, Paulo Rodrigues, John Derbyshire, Christina Azevedo, Amit Bar-Or, Eduardo Caverzasi, Peter A Calabresi, Bruce Ac Cree and 18 more

Open access · greenAbstract readMulticenter Study
In one paragraph

Article in Multiple sclerosis (Houndmills, Basingstoke, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
7.9field-weighted citation impact, top 2% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.

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  12. Incorporation of the central vein sign into the McDonald criteria.Multiple sclerosis and related disorders · 2025
    Article
  13. Article
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  17. Review
  18. Multicenter validation of automated detection of paramagnetic rim lesions on brain MRI in multiple sclerosis.Journal of neuroimaging : official journal of the American Society of Neuroimaging
    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

28 authors at 13 institutions in 3 countries.

Lynn DaboulTranslational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA.
Carly M O'DonnellDepartment of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Moein AminNeurological Institute, Cleveland Clinic, Cleveland, OH, USA.ORCID 0000-0002-9587-0644
Paulo RodriguesQMENTA Cloud Platform, QMENTA Inc., Boston, MA, USA.
John DerbyshireFunctional MRI Facility, NIMH, National Institutes of Health, Bethesda, MD, USA.
Christina AzevedoDepartment of Neurology, University of Southern California, Los Angeles, CA, USA.ORCID 0000-0002-8622-1845
Amit Bar-OrDepartment of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Eduardo CaverzasiDepartment of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.ORCID 0000-0002-0350-0460
Peter A CalabresiDepartment of Neurology, Johns Hopkins University, Baltimore, MD, USA.ORCID 0000-0002-7776-6472
Bruce Ac CreeDepartment of Neurology, University of California at San Francisco, San Francisco, CA, USA.ORCID 0000-0001-7689-2533
Leorah FreemanDepartment of Neurology, Dell Medical School, The University of Texas, Austin, TX, USA.
Roland G HenryDepartment of Neurology, University of California at San Francisco, San Francisco, CA, USA.
Erin E LongbrakeDepartment of Neurology, Yale University, New Haven, CT, USA.
Jiwon OhDivision of Neurology, St. Michael's Hospital, University of Toronto, Toronto, ON, Canada.
Nico PapinuttoDepartment of Neurology, University of California at San Francisco, San Francisco, CA, USA.
Daniel PelletierDepartment of Neurology, University of Southern California, Los Angeles, CA, USA.
Vesna PrchkovskaQMENTA Cloud Platform, QMENTA Inc., Boston, MA, USA.
Praneeta RazaCleveland Clinic Lerner College of Medicine, Cleveland, OH, USA.
Marc RamosQMENTA Cloud Platform, QMENTA Inc., Boston, MA, USA.
Rohini D SamudralwarDepartment of Neurology, University of Texas Health Science Center, Houston, TX, USA.
Matthew K SchindlerDepartment of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Elias S SotirchosDepartment of Neurology, Johns Hopkins University, Baltimore, MD, USA.ORCID 0000-0002-8812-1637
Nancy L SicotteDepartment of Neurology, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Andrew J SolomonDepartment of Neurological Sciences, Larner College of Medicine, The University of Vermont, Burlington, VT, USA.
Russell T ShinoharaDepartment of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Daniel S ReichTranslational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA.ORCID 0000-0002-2628-4334
Pascal SatiTranslational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA.ORCID 0000-0002-6763-0125
Daniel OntanedaMellen Center for Multiple Sclerosis, Cleveland Clinic, Cleveland, OH, USA.ORCID 0000-0002-2838-9148
University of California, San Francisco · USUniversity of Pennsylvania · USNational Institutes of Health · USCedars-Sinai Medical Center · USCleveland Clinic · USJohns Hopkins University · USUniversity of Southern California · USCleveland Clinic Lerner College of Medicine · USSt. Michael's Hospital · CAThe University of Texas at Austin · USThe University of Texas Health Science Center at Houston · USUniversity of Vermont · USYale University · US

Funding

Multimodal MRI in Multiple SclerosisZIANS003119 · NINDS · NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE · PI REICH, DANIEL · 2010 to 2025
$53.4M
The Role of B cells in the Origin and Progression of Multiple SclerosisR35NS111644 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI STEPHEN L HAUSER · 2019 to 2026
$9.1M
Statistical Methods for Multilevel Multivariate Functional StudiesR01NS060910 · NINDS · JOHNS HOPKINS UNIVERSITY · PI Ciprian M Crainiceanu · 2009 to 2026
$8.3M
Inter-modal Coupling Image AnalyticsR01MH112847 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI Theodore Satterthwaite, Russell Takeshi Shinohara · 2017 to 2026
$5.9M
Harmonization of Multi-Site Neuroimaging Data from Complex Study DesignsR01MH123550 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI SHINOHARA, RUSSELL TAKESHI · 2020 to 2025
$4.0M
Advanced Statistical Analytics of MRI in MSR01NS112274 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI SHINOHARA, RUSSELL TAKESHI · 2020 to 2024
$2.8M
Intramural NIH HHS ZIA NS003119NIMH NIH HHS R01 MH112847NIMH NIH HHS R01 MH123550NINDS NIH HHS R01 NS060910NINDS NIH HHS R01 NS112274NINDS NIH HHS R35 NS111644
6 · The paper itself

Abstract

backgroundThe central vein sign (CVS) is a proposed magnetic resonance imaging (MRI) biomarker for multiple sclerosis (MS); the optimal method for abbreviated CVS scoring is not yet established.

objectiveThe aim of this study was to evaluate the performance of a simplified approach to CVS assessment in a multicenter study of patients being evaluated for suspected MS.

methodsAdults referred for possible MS to 10 sites were recruited. A post-Gd 3D T2*-weighted MRI sequence (FLAIR*) was obtained in each subject. Trained raters at each site identified up to six CVS-positive lesions per FLAIR* scan. Diagnostic performance of CVS was evaluated for a diagnosis of MS which had been confirmed using the 2017 McDonald criteria at thresholds including three positive lesions (Select-3*) and six positive lesions (Select-6*). Inter-rater reliability assessments were performed.

resultsOverall, 78 participants were analyzed; 37 (47%) were diagnosed with MS, and 41 (53%) were not. The mean age of participants was 45 (range: 19-64) years, and most were female (

conclusionA simplified method for CVS assessment in patients referred for suspected MS demonstrated good diagnostic performance and inter-rater agreement.

Indexed as

Multiple SclerosisAdultBrainFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedPilot ProjectsReproducibility of ResultsVeinsYoung AdultbiomarkersCentral vein signFLAIR*MRImultiple sclerosis

Identifiers

PMID38088067
PMCPMC11037932
OpenAlexW4389685133

What OpenQuestion holds

Textmetadata
LicenceTDM
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.