Evidence map›Paper›PMID 42907929›Full record

ArticleNeurological research and practice2026

Proportionate and disproportionate reporting of different infectious complications of disease modifying therapy in multiple sclerosis.

Frederike Kadgien, Katja Hummel, Peter Trillenberg

Abstract read
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Article in Neurological research and practice, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Frederike KadgienInfectious Disease Clinic, University Hospital of Schleswig-Holstein, Campus Lübeck, Ratzeburger Allee 160, Lübeck, Germany.
Katja HummelDepartment of Neurology, University Hospital of Schleswig-Holstein, Campus Luebeck, Ratzeburger Allee 160, 23538, Luebeck, Germany.
Peter TrillenbergDepartment of Neurology, University Hospital of Schleswig-Holstein, Campus Luebeck, Ratzeburger Allee 160, 23538, Luebeck, Germany. peter.trillenberg@uni-luebeck.de.ORCID http://orcid.org/0000-0002-3434-0295

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionProgessive multifocal leukoencephalopathy (PML) is a complication of immunoincompetence due to disease or immunosuppressive therapy and in particular due to disease modifying therapy (DMT) in multiple sclerosis. It is not clear however, whether there is a specific vulnerability to PML or whether this is due to immunosuppression per se. The same holds for the combination of cryptococcal disease and Fingolimod.

methodsWe used the reporting odds ratio (ROR) as calculated from entries to Vigibase for a sample of drugs used for DMT (Alemtuzumab, Cladribine, Fingolimod, Dimethyl fumarate, Glatirameracetat, Interferon beta-1a, Interferon beta-1b, Natalizumab, Ocrelizumab, Ofatumumab, Ozanimod, Peginterferon-beta-1a, Ponesimod, Siponimod, and Teriflunomide) and infections with the varicella zoster virus (VZV), PML, and cryptococcal and pneumococcal disease as a surrogate for the frequency of these events. Principal component analysis was used to identify outliers of the general relation between the RORs for the 4 infections studied. A plot of log(ROR) for the other infections as a function of log(ROR) of VZV infections was used to characterize the outliers more clearly.

resultsThe associations of PML/Natalizumab and Cryptococcal disease/Fingolimod were reported significantly more frequently than expected from the general reporting pattern as extracted from the PCA. They were the only combinations which were outside the confidence intervals of the otherwise linear correlations of log(ROR) with log(ROR) for VZV.

conclusionThese associations are candidates for which specific effects of Natalizumab and Fingolimod should be identified that increase vulnerability to respective infections.

Indexed as

Disease modifying therapyMultiple SclerosisProgressive multifocal Leukoencephalopathy

Identifiers

PMID42907929
PMCPMC13688721

What OpenQuestion holds

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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.