Evidence map›Paper›PMID 35791496›Full record

ArticleEuropean journal of neurology2022

Impact of vaccination on COVID-19 outcome in multiple sclerosis.

Gabriel Bsteh, Christiane Gradl, Bettina Heschl, Harald Hegen, Franziska Di Pauli, Hamid Assar, Fritz Leutmezer, Gerhard Traxler, Nik Krajnc, Gudrun Zulehner and 7 more

Open access · hybridAbstract read
In one paragraph

Article in European journal of neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.5field-weighted citation impact, top 16% 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

11 citing papers in PubMed, 15 citations in OpenAlex.

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  11. Vaccine response in people with multiple sclerosis treated with fumarates.Multiple sclerosis journal - experimental, translational and clinical
    Review
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

17 authors at 6 institutions in 1 country.

Gabriel BstehDepartment of Neurology, Medical University of Vienna, Vienna, Austria.
Christiane GradlDepartment of Neurology, Medical University of St, Pölten, St. Pölten, Austria.
Bettina HeschlDepartment of Neurology, Medical University of Graz, Graz, Austria.
Harald HegenDepartment of Neurology, Medical University of Innsbruck, Innsbruck, Austria.
Franziska Di PauliDepartment of Neurology, Medical University of Innsbruck, Innsbruck, Austria.
Hamid AssarDepartment of Neurology, Kepler University Hospital, Linz, Austria.
Fritz LeutmezerDepartment of Neurology, Medical University of Vienna, Vienna, Austria.
Gerhard TraxlerDepartment of Neurology 2, Med Campus III, Kepler University Hospital GmbH, Linz, Austria.
Nik KrajncDepartment of Neurology, Medical University of Vienna, Vienna, Austria.
Gudrun ZulehnerDepartment of Neurology, Medical University of Vienna, Vienna, Austria.
Maria-Sophia HillerDepartment of Neurology, Barmherzige Brüder Hospital, Eisenstadt, Austria.
Paulus RommerDepartment of Neurology, Medical University of Vienna, Vienna, Austria.
Peter WipflerDepartment of Neurology, Paracelsus Medical University of Salzburg, Salzburg, Austria.
Michael GugerDepartment of Neurology, Pyhrn-Eisenwurzen Hospital Steyr, Austria.
Christian EnzingerDepartment of Neurology, Medical University of Innsbruck, Innsbruck, Austria.
Thomas BergerDepartment of Neurology, Medical University of Vienna, Vienna, Austria.
AUT-MuSC investigators
Medical University of Vienna · ATInnsbruck Medical University · ATKepler Universitätsklinikum · ATMedical University of Graz · ATUniversity of Applied Sciences St Pölten · ATUniversity of Salzburg · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCOVID-19 continues to challenge neurologists in counselling persons with multiple sclerosis (pwMS) regarding disease-modifying treatment (DMT) and vaccination. The objective here was to characterize predictors of COVID-19 outcome in pwMS.

methodsWe included pwMS with PCR-confirmed COVID-19 diagnosis from a nationwide population-based registry. COVID-19 outcome was classified as either mild or severe. Impact of DMT, specifically anti-CD20 monoclonal antibodies, and vaccination on COVID-19 outcome was determined by multivariable models adjusted for a-priori-risk (determined by a cumulative risk score comprising age, disability and comorbidities).

resultsOf 317 pwMS with COVID-19 (mean age 41.8 years [SD 12.4], 72.9% female, median EDSS 1.5 [range 0-8.5], 77% on DMT [16% on antiCD20]), 92.7% had a mild course and 7.3% a severe course with 2.2% dying from COVID-19. Ninety-seven pwMS (30.6%) were fully vaccinated. After a median 5 months from vaccination to SARS-CoV-2 infection (range 1-9), severe COVID-19 occurred in 2.1% of fully vaccinated pwMS compared to 9.5% in unvaccinated pwMS (p=0.018). A-priori-risk robustly predicted COVID-19 severity (R

conclusionsIn a population-based MS cohort, COVID-19 course is primarily predicted by a-priori-risk (depending on age, disability and comorbidities) explaining about 60% of variance. Anti-CD20 treatment is associated with a moderately increased risk, while reassuringly vaccination provides protection from severe COVID-19.

Indexed as

COVID-19disease-modifying treatmentMultiple sclerosisSARS-CoV-2severityvaccination

Identifiers

PMID35791496
PMCPMC9350380
OpenAlexW4283832813

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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Registered trials

None linked

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.