Evidence map›Paper›PMID 27834394›Full record

ReviewNature reviews. Neurology2016

The central vein sign and its clinical evaluation for the diagnosis of multiple sclerosis: a consensus statement from the North American Imaging in Multiple Sclerosis Cooperative.

Pascal Sati, Jiwon Oh, R Todd Constable, Nikos Evangelou, Charles R G Guttmann, Roland G Henry, Eric C Klawiter, Caterina Mainero, Luca Massacesi, Henry McFarland and 15 more

Registry-linked trialOpen access · bronzeAbstract readReviewConsensus Statement
PubMed Publisher
In one paragraph

Review in Nature reviews. Neurology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03586986 (Risk Factors in Early Multiple Sclerosis), which is not on this map. Cited by 194 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
194citing papers in PubMed, 7 pooled it
21.6field-weighted citation impact, top 1% 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.

NCT03586986 unknown statusnot on this mapstarted 2018, after this paper: background citation

Risk Factors in Early Multiple Sclerosis

TypeobservationalSponsorUniversity of Colorado, DenverRan2018 to 2024Enrolled300ConditionsMultiple Sclerosis, Magnetic Resonance Imaging, Biomarkers, Clinically Isolated SyndromeArmsBrain MRI
3 · Its place in the literature

Who cites it

194 citing papers in PubMed, 7 syntheses or guidelines pooled it, 392 citations in OpenAlex.

  1. Guideline
  2. Pooled it
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  4. Pooled it
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  8. Trial
  9. Fast Submillimeter Whole-Brain TMagnetic resonance in medicine · 2026
    Article
  10. Simultaneous TMagnetic resonance in medicine · 2026
    Article
  11. Review
  12. Review
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  14. Article
  15. Observational
  16. Article
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134 more citing papers are in PubMed but not listed here.

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

25 authors at 13 institutions in 5 countries.

Pascal SatiTranslational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, NIH, 10 Center Drive MSC 1400, Building 10 Room 5C103, Bethesda, Maryland, USA.
Jiwon OhSt. Michael's Hospital, University of Toronto, Ontario, Canada.
R Todd ConstableDepartment of Diagnostic Radiology, Yale University, New Haven, Connecticut, USA.
Nikos EvangelouDivision of Clinical Neuroscience, University of Nottingham, UK.
Charles R G GuttmannCenter for Neurological Imaging, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Roland G HenryDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA.
Eric C KlawiterDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Caterina MaineroCenter for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Luca MassacesiDepartment of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Italy.
Henry McFarlandTranslational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, NIH, 10 Center Drive MSC 1400, Building 10 Room 5C103, Bethesda, Maryland, USA.
Flavia NelsonMultiple Sclerosis Research Group, Department of Neurology, University of Texas Health Science Center at Houston, Texas, USA.
Daniel OntanedaMellen Center for MS Treatment and Research, Cleveland Clinic Foundation, Cleveland, Ohio, USA.
Alexander RauscherDepartment of Pediatrics, Division of Neurology, UBC MRI Research Centre, University of British Columbia, Vancouver, Canada.
William D RooneyAdvanced Imaging Research Center, Oregon Health &Science University, Portland, Oregon, USA.
Amal P R SamaraweeraDivision of Clinical Neuroscience, University of Nottingham, UK.
Russell T ShinoharaDepartment of Biostatistics and Epidemiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Raymond A SobelDepartment of Pathology, Stanford University School of Medicine, Stanford, California, USA.
Andrew J SolomonDepartment of Neurological Sciences, University of Vermont College of Medicine, Burlington, Vermont, USA.
Constantina A TreabaCenter for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Jens WuerfelMedical Image Analysis Center, University Hospital Basel, Switzerland.
Robert ZivadinovBuffalo Neuroimaging Analysis Center, Department of Neurology, State University of New York at Buffalo, New York, USA.
Nancy L SicotteDepartment of Neurology, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Daniel PelletierMultiple Sclerosis Center, Department of Neurology, Keck School of Medicine of the University of Southern California, Los Angeles, California, USA.
Daniel S ReichTranslational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, NIH, 10 Center Drive MSC 1400, Building 10 Room 5C103, Bethesda, Maryland, USA.
NAIMS Cooperative
National Institute of Neurological Disorders and Stroke · USUniversity of Nottingham · GBBrigham and Women's Hospital · USHarvard University · USSt. Michael's Hospital · CAUniversity Hospital of Basel · CHUniversity of British Columbia Hospital · CAUniversity of Southern California · USUniversity of Vermont · USCedars-Sinai Medical Center · USCleveland Clinic · USGordon Center for Medical Imaging · USUniversity of Pennsylvania · US

Funding

Multimodal MRI in Multiple SclerosisZIANS003119 · NINDS · NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE · PI REICH, DANIEL · 2010 to 2025
$53.4M
Medical Research Council MC_PC_12019
6 · The paper itself

Abstract

Over the past few years, MRI has become an indispensable tool for diagnosing multiple sclerosis (MS). However, the current MRI criteria for MS diagnosis have imperfect sensitivity and specificity. The central vein sign (CVS) has recently been proposed as a novel MRI biomarker to improve the accuracy and speed of MS diagnosis. Evidence indicates that the presence of the CVS in individual lesions can accurately differentiate MS from other diseases that mimic this condition. However, the predictive value of the CVS for the development of clinical MS in patients with suspected demyelinating disease is still unknown. Moreover, the lack of standardization for the definition and imaging of the CVS currently limits its clinical implementation and validation. On the basis of a thorough review of the existing literature on the CVS and the consensus opinion of the members of the North American Imaging in Multiple Sclerosis (NAIMS) Cooperative, this article provides statements and recommendations aimed at helping radiologists and neurologists to better understand, refine, standardize and evaluate the CVS in the diagnosis of MS.

Indexed as

ConsensusMagnetic Resonance ImagingCerebral VeinsHumansMultiple SclerosisPractice Guidelines as TopicSocieties, Medical

Identifiers

PMID27834394
OpenAlexW2551398945

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.