Evidence map›Paper›PMID 32371533›Full record

ArticleJournal of neurology, neurosurgery, and psychiatry2020

Complete Epstein-Barr virus seropositivity in a large cohort of patients with early multiple sclerosis.

Sargis Abrahamyan, Bettina Eberspächer, Muna-Miriam Hoshi, Lilian Aly, Felix Luessi, Sergiu Groppa, Luisa Klotz, Sven G Meuth, Christoph Schroeder, Thomas Grüter and 21 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of neurology, neurosurgery, and psychiatry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers.

0numbers the graph read from it
0cells of the map it votes in
67citing papers in PubMed
10.6field-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.

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

67 citing papers in PubMed, 111 citations in OpenAlex.

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  9. Epstein-Barr Virus in Multiple Sclerosis: Past, Present, and Future.Neurology(R) neuroimmunology & neuroinflammation · 2025
    Review
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7 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

31 authors at 19 institutions in 3 countries.

Sargis AbrahamyanDepartment of Neurology, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Bettina EberspächerLabor Berlin Charité-Vivantes GmbH, Berlin, Germany.
Muna-Miriam HoshiDepartment of Neurology, Klinikum rechts der Isar der Technischen Universität München, Munich, Germany.
Lilian AlyDepartment of Neurology, Klinikum rechts der Isar der Technischen Universität München, Munich, Germany.
Felix LuessiDepartment of Neurology, University Medicine Mainz, Johannes Gutenberg University Mainz, Mainz, Germany.
Sergiu GroppaDepartment of Neurology, University Medicine Mainz, Johannes Gutenberg University Mainz, Mainz, Germany.
Luisa KlotzDepartment of Neurology with Institute of Translational Neurology, University of Münster, Münster, Germany.
Sven G MeuthDepartment of Neurology with Institute of Translational Neurology, University of Münster, Münster, Germany.
Christoph SchroederDepartment of Neurology, St. Josef-Hospital, Ruhr-University Bochum, Bochum, Germany.
Thomas GrüterDepartment of Neurology, St. Josef-Hospital, Ruhr-University Bochum, Bochum, Germany.ORCID 0000-0001-8927-9818
Björn TackenbergDepartment of Neurology, Philipps-Universität Marburg, Marburg, Germany.
Friedemann PaulDepartment of Neurology, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Florian Then-BerghDepartment of Neurology, University of Leipzig, Leipzig, Germany.
Tania KümpfelInstitute of Clinical Neuroimmunology, Ludwig-Maximilians-Universität, Munich, Germany.
Frank WeberNeurological Clinic, Sana Kliniken des Landkreises Cham, Cham, Germany.
Martin StangelClinical Neuroimmunology and Neurochemistry, Department of Neurology, Hannover Medical School, Hannover, Germany.
Antonios BayasDepartment of Neurology, Universitätsklinikum Augsburg, Augsburg, Germany.
Brigitte WildemannDepartment of Neurology, University of Heidelberg, Heidelberg, Germany.
Christoph HeesenDepartment of Neurology, University Hospital Hamburg-Eppendorf, Hamburg, Germany.ORCID 0000-0001-8131-9467
Uwe ZettlDepartment of Neurology, University of Rostock, Rostock, Germany.
Clemens WarnkeDepartment of Neurology, University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany.
Gisela AntonyCentral Information Office (CIO), Philipps-Universität Marburg, Marburg, Germany.
Nicole HesslerInstitute of Medical Biometry and Statistics, University Hospital Schleswig-Holstein, Campus Lübeck, Lübeck, Germany.
Heinz WiendlDepartment of Neurology with Institute of Translational Neurology, University of Münster, Münster, Germany.
Stefan BittnerDepartment of Neurology, University Medicine Mainz, Johannes Gutenberg University Mainz, Mainz, Germany.
Bernhard HemmerDepartment of Neurology, Klinikum rechts der Isar der Technischen Universität München, Munich, Germany.
Ralf GoldDepartment of Neurology, St. Josef-Hospital, Ruhr-University Bochum, Bochum, Germany.
Anke SalmenDepartment of Neurology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.ORCID 0000-0002-4751-299X
Klemens RuprechtDepartment of Neurology, Charité - Universitätsmedizin Berlin, Berlin, Germany klemens.ruprecht@charite.de.ORCID 0000-0003-1962-6014
German Competence Network Multiple Sclerosis (KKNMS)
Other members of the KKNMS that acted as collaborators in this study
Johannes Gutenberg University Mainz · DESt. Josef-Hospital · DETUM Klinikum · DEUniversity of Münster · DECharité - Universitätsmedizin Berlin · DEPhilipps University of Marburg · DEHeidelberg University · DEKliniken des Landkreises Lörrach · DELeipzig University · DELudwig-Maximilians-Universität München · DEMedizinische Hochschule Hannover · DEUniversität Hamburg · DEUniversity Hospital Augsburg · DEUniversity Hospital Schleswig-Holstein · DEUniversity of Bern · CHUniversity of Cologne · DEUniversity of Rostock · DEVivantes Klinikum · DEYerevan State University · AM

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo determine the prevalence of antibodies to Epstein-Barr virus (EBV) in a large cohort of patients with early multiple sclerosis (MS).

methodsSerum samples were collected from 901 patients with a clinically isolated syndrome (CIS) or early relapsing-remitting multiple sclerosis (RRMS) participating in the German National MS cohort, a prospective cohort of patients with early MS with stringent inclusion criteria. Epstein-Barr nuclear antigen (EBNA)-1 and viral capsid antigen (VCA) antibodies were measured in diluted sera by chemiluminescence immunoassays (CLIAs). Sera of EBNA-1 and VCA antibody-negative patients were retested undiluted by an EBV IgG immunoblot. For comparison, we retrospectively analysed the EBV seroprevalence across different age cohorts, ranging from 0 to >80 years, in a large hospital population (N=16 163) from Berlin/Northern Germany.

resultsEBNA-1 antibodies were detected by CLIA in 839 of 901 patients with CIS/RRMS. Of the 62 patients without EBNA-1 antibodies, 45 had antibodies to VCA as detected by CLIA. In all of the remaining 17 patients, antibodies to EBV were detected by immunoblot. Altogether, 901 of 901 (100%) patients with CIS/RRMS were EBV-seropositive. EBV seropositivity increased with age in the hospital population but did not reach 100% in any of the investigated age cohorts.

conclusionThe complete EBV seropositivity in this large cohort of patients with early MS strengthens the evidence for a role of EBV in MS. It also suggests that a negative EBV serology in patients with suspected inflammatory central nervous system disease should alert clinicians to consider diagnoses other than MS.

Indexed as

AdultAntibodies, ViralFemaleGermanyHerpesvirus 4, HumanHumansMaleMiddle AgedMultiple SclerosisRegistriesRetrospective StudiesSeroepidemiologic StudiesAntibodies, Viral

Identifiers

PMID32371533
PMCPMC7361012
OpenAlexW3021074805

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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.