Evidence map›Paper›PMID 41229156›Full record

ArticleEuropean journal of neurology2025

Retrospective In Silico Analysis of Routine Laboratory Data Supports a Specific Association of Epstein-Barr Virus and Multiple Sclerosis.

Mario Rodomonti, Florence Pache, Carolin Otto, Patrick Schindler, Bettina Eberspächer, Rohat Geran, Marco Puthenparampil, Paolo Gallo, Brigitte Wildemann, Sven Jarius and 2 more

Abstract read
In one paragraph

Article in European journal of neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

12 authors.

Mario RodomontiDepartment of Neurology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
Florence PacheDepartment of Neurology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
Carolin OttoDepartment of Neurology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
Patrick SchindlerDepartment of Neurology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
Bettina EberspächerLabor Berlin-Charité Vivantes GmbH, Berlin, Germany.
Rohat GeranDepartment of Neurology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.ORCID 0000-0001-6807-9534
Marco PuthenparampilDepartment of Neuroscience, University of Padua, Padua, Italy.
Paolo GalloDepartment of Neuroscience, University of Padua, Padua, Italy.
Brigitte WildemannDivision of Neuroimmunology, Department of Neurology, University of Heidelberg, Heidelberg, Germany.
Sven JariusDivision of Neuroimmunology, Department of Neurology, University of Heidelberg, Heidelberg, Germany.
Hebun ErdurDepartment of Neurology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
Klemens RuprechtDivision of Neuroimmunology, Department of Neurology, University of Heidelberg, Heidelberg, Germany.ORCID 0000-0003-1962-6014

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe conducted a retrospective in silico analysis of routine laboratory data (RISAROLDA) to study the association of Epstein-Barr virus (EBV) and multiple sclerosis (MS).

methodsPatients with MS and 10 different inflammatory/neoplastic diseases were identified by ICD10 codes. Results of routine laboratory testing for antibodies to EBV, measles, mumps, rubella, herpes simplex virus, varicella zoster virus and cytomegalovirus were extracted using a digital tool.

resultsAmong 10,669 patients with MS and 42,222 controls, EBV serologies were available from 492 (4.6%) patients with MS and 1918 (4.5%) controls. While all but three patients with an ICD10 diagnosis of MS were EBV seropositive, closer inspection of the three EBV seronegative patients revealed they were misdiagnosed with MS, resulting in a 100% EBV seroprevalence in the remaining 489 patients with MS. In contrast, EBV seroprevalences were lower in all other diseases (78.6%-97.8%). Serum antibodies to the Epstein-Barr nuclear antigen-1, but not to the viral capsid antigen, were higher in patients with MS than in all other diseases. In patients with MS, seroprevalences of all other common viruses were lower than those of EBV, but the frequency of intrathecal production of antibodies to EBV was lower than that of other common viruses.

conclusionsThese findings suggest that the association of EBV and MS is specific for MS as compared to various other inflammatory/neoplastic diseases and that a negative EBV serology might be a marker for the absence of MS. RISAROLDA is a powerful approach for the screening of real-world laboratory data.

Indexed as

Epstein-Barr Virus InfectionsHerpesvirus 4, HumanMultiple SclerosisAdultAntibodies, ViralComputer SimulationFemaleHumansMaleMiddle AgedRetrospective StudiesSeroepidemiologic StudiesAntibodies, Viralantibodiescerebrospinal fluidEpstein–Barr virusmultiple sclerosisserum

Identifiers

PMID41229156
PMCPMC12612553

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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.