Evidence map›Paper›PMID 31668125›Full record

ArticleMultiple sclerosis (Houndmills, Basingstoke, England)2020

Single Test to ARrive at Multiple Sclerosis (STAR-MS) diagnosis: A prospective pilot study assessing the accuracy of the central vein sign in predicting multiple sclerosis in cases of diagnostic uncertainty.

Margareta A Clarke, Amal Pr Samaraweera, Yasser Falah, Alain Pitiot, Christopher M Allen, Robert A Dineen, Chris R Tench, Paul S Morgan, Nikos Evangelou

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In one paragraph

Article in Multiple sclerosis (Houndmills, Basingstoke, England), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

15 citing papers in PubMed, 40 citations in OpenAlex.

  1. Review
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  8. Neurodegeneration in multiple sclerosis.WIREs mechanisms of disease · 2023
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 1 country.

Margareta A ClarkeSchool of Psychology, University of Nottingham, Nottingham, UK/Department of Clinical Neurology, Nottingham University Hospitals NHS Trust, Nottingham, UK.ORCID 0000-0001-5531-796X
Amal Pr SamaraweeraNewcastle Upon Tyne Hospitals NHS Foundation Trust, Newcastle, UK.
Yasser FalahDepartment of Neurology, Nottingham University Hospitals NHS Trust, Nottingham, UK.
Alain PitiotLaboratory of Image & Data Analysis, Ilixa Ltd., Nottingham, UK.ORCID 0000-0003-0146-8572
Christopher M AllenDivision of Clinical Neuroscience, University of Nottingham, Nottingham, UK.ORCID 0000-0002-8225-8747
Robert A DineenRadiological Sciences, University of Nottingham, Nottingham, UK/National Institute of Health Research Nottingham Biomedical Research Centre, Nottingham, UK/Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, UK.
Chris R TenchDivision of Clinical Neuroscience, University of Nottingham, Nottingham, UK.
Paul S MorganRadiological Sciences, University of Nottingham, Nottingham, UK/Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, UK/Medical Physics & Clinical Engineering, Nottingham University Hospitals NHS Trust, Nottingham, UK.
Nikos EvangelouDepartment of Clinical Neurology, Division of Clinical Neuroscience, University of Nottingham, Nottingham, UK.
University of Nottingham · GBNottingham University Hospitals NHS Trust · GBNewcastle upon Tyne Hospitals NHS Foundation Trust · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMisdiagnosis is common in multiple sclerosis (MS) as a proportion of patients present with atypical clinical/magnetic resonance imaging (MRI) findings. The central vein sign has the potential to be a non-invasive, MS-specific biomarker.

objectiveTo test the accuracy of the central vein sign in predicting a diagnosis of MS in patients with diagnostic uncertainty at disease presentation using T2*-weighted, 3 T MRI.

methodsIn this prospective pilot study, we recruited individuals with symptoms unusual for MS but with brain MRI consistent with the disease, and those with a typical clinical presentation of MS whose MRI did not suggest MS. We calculated the proportion of lesions with central veins for each patient and compared the results to the eventual clinical diagnoses. The optimal central vein threshold for diagnosis was established.

resultsThirty-eight patients were scanned, 35 of whom have received a clinical diagnosis. Median percentage of lesions with central veins was 51% in MS and 28% in non-MS. A threshold of 40.7% lesions with central veins resulted in 100% sensitivity and 73.9% specificity.

conclusionThe central vein sign assessed with a clinically available T2* scan can successfully diagnose MS in cases of diagnostic uncertainty. The central vein sign should be considered as a diagnostic biomarker in MS.

Indexed as

AdultAgedBiomarkersCerebral VeinsDiagnostic ErrorsFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedMultiple SclerosisPilot ProjectsPrognosisProspective StudiesUncertaintyWhite MatterBiomarkerscentral nervous systemDemyelinating autoimmune diseasesdiagnosisdiagnostic imagingmagnetic resonance imagingmisdiagnosismultiple sclerosis

Identifiers

PMID31668125
OpenAlexW2984030614

What OpenQuestion holds

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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.