Evidence map›Paper›PMID 30044050›Full record

Observational studyCNS neuroscience & therapeutics2019

Immunogenicity and predictors of response to a single dose trivalent seasonal influenza vaccine in multiple sclerosis patients receiving disease-modifying therapies.

Christoph Metze, Alexander Winkelmann, Micha Loebermann, Michael Hecker, Brunhilde Schweiger, Emil Christian Reisinger, Uwe Klaus Zettl

Registry-linked trialOpen access · bronzeAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in CNS neuroscience & therapeutics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02275741 (Study to Investigate the Immune Response and Safety of Prophylactic Vaccines in Patients Treated for Multiple Sclerosis), which is not on this map. Cited by 43 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 1 pooled it
5.8field-weighted citation impact, top 3% 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.

NCT02275741 completednot on this map

Study to Investigate the Immune Response and Safety of Prophylactic Vaccines in Patients Treated for Multiple Sclerosis

TypeobservationalSponsorDr. med. Micha LoebermannRan2009 to 2016Enrolled226ConditionsMultiple Sclerosis, Relapsing-RemittingArmsprophylactic vaccine (tetanus, diphtheria, pertussis, poliomyelitis, influenza, hepatitis A, hepatitis B, tick-borne encephalitis, meningococcal, pneumococcal)
3 · Its place in the literature

Who cites it

43 citing papers in PubMed, 1 synthesis or guideline pooled it, 80 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

Christoph MetzeDepartment of Neurology, Neuroimmunology Section, Rostock University Medical Center, Rostock, Germany.ORCID 0000-0003-4437-2423
Alexander WinkelmannDepartment of Neurology, Neuroimmunology Section, Rostock University Medical Center, Rostock, Germany.
Micha LoebermannDepartment of Tropical Medicine and Infectious Diseases, Rostock University Medical Center, Rostock, Germany.ORCID 0000-0002-3453-8998
Michael HeckerDepartment of Neurology, Neuroimmunology Section, Rostock University Medical Center, Rostock, Germany.ORCID 0000-0001-7015-3094
Brunhilde SchweigerNational Reference Centre for Influenza and Other Respiratory Viruses, Robert-Koch-Institut, Berlin, Germany.
Emil Christian ReisingerDepartment of Tropical Medicine and Infectious Diseases, Rostock University Medical Center, Rostock, Germany.
Uwe Klaus ZettlDepartment of Neurology, Neuroimmunology Section, Rostock University Medical Center, Rostock, Germany.
University of Rostock · DERobert Koch Institute · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsTo evaluate the immunogenicity and safety of a seasonal influenza vaccine in a cohort of multiple sclerosis (MS) patients receiving different immunomodulating/immunosuppressive therapies and assess predictors of immune response.

methodsA prospective, multicenter, non-randomized observational study including 108 patients receiving a trivalent seasonal influenza vaccination was conducted. Influenza-specific antibody titers (H1N1, H3N2, and influenza B) were measured to evaluate rates of seroprotection and seroconversion/significant titer increase. Univariable and multivariable analyses were performed to identify prognostic factors of vaccination outcomes.

resultsRegarding the whole cohort, seroprotection rates >70% were achieved for each influenza strain. Interferon-treated patients reached high seroprotection rates (>84%). Good seroprotection rates were seen in patients treated with glatiramer acetate. In particular for H3N2, response rates were low in natalizumab-treated patients and in the small subgroup of fingolimod-treated patients. Patients with a previous disease-modifying therapy and a longer disease duration were less likely to respond sufficiently. No severe adverse events were reported. MS disease activity was not increased after a one-year follow-up period.

conclusionVaccination led to good immunogenicity, especially in MS patients treated with interferons and glatiramer acetate. At least for the H1N1 strain, rates of seroprotection and seroconversion/significant titer increase were high (>70% and >60%, respectively) for all therapeutic subgroups. Patients with a longer duration of the disease are exposed to an increased risk of insufficient immune response to vaccination.

Indexed as

AdolescentAdultAgedCohort StudiesFemaleFingolimod HydrochlorideHumansImmunosuppressive AgentsInfluenza A Virus, H1N1 SubtypeInfluenza A Virus, H3N2 SubtypeInfluenza B virusInfluenza VaccinesMaleMiddle AgedMultiple SclerosisNatalizumabFingolimod HydrochlorideImmunosuppressive AgentsInfluenza VaccinesNatalizumabdisease-modifying therapyimmunogenicityimmunomodulationinfluenza vaccinemultiple sclerosis

Identifiers

PMID30044050
PMCPMC6488907
OpenAlexW2882999132

What OpenQuestion holds

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Registered trials

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.