Evidence map›Paper›PMID 34066624›Full record

ArticleJournal of clinical medicine2021

JC Virus Seroprevalence and JCVAb Index in Polish Multiple Sclerosis Patients Treated with Immunomodulating or Immunosuppressive Therapies.

Robert Bonek, Wojciech Guenter, Robert Jałowiński, Anna Karbicka, Anna Litwin, Maciej Maciejowski, Radosław Zajdel, Karolina Zajdel, Veronique Petit, Konrad Rejdak

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 32% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Anti-JCV antibody index seroconversion in Turkish multiple sclerosis patients treated with natalizumab.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
    Article
  2. Article
  3. 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

10 authors at 5 institutions in 1 country.

Robert BonekDepartment of Neurology and Clinical Neuroimmunology, Regional Specialist Hospital, 86-300 Grudziadz, Poland.ORCID 0000-0003-4077-8960
Wojciech GuenterDepartment of Clinical Neuropsychology, Nicolaus Copernicus University, 87-100 Torun, Poland, and Collegium Medicum, 85-094 Bydgoszcz, Poland.ORCID 0000-0002-0183-2066
Robert JałowińskiDepartment of Neurology, Regional Hospital, 71-455 Szczecin, Poland.
Anna KarbickaDepartment of Neurology, Regional Hospital, 71-455 Szczecin, Poland.
Anna LitwinDepartment of Neurology, Regional Hospital, 10-561 Olsztyn, Poland.
Maciej MaciejowskiKMK Clinical, MS Center, 40-571 Katowice, Poland.
Radosław ZajdelChair of Business Informatics, University of Lodz, 90-214 Lodz, Poland.ORCID 0000-0002-1654-8957
Karolina ZajdelDepartment of Medical Informatics and Statistics, Medical University of Lodz, 90-645 Lodz, Poland.
Veronique PetitDepartment of Neurology, Medical University of Lublin, 20-090 Lublin, Poland.
Konrad RejdakDepartment of Neurology, Medical University of Lublin, 20-090 Lublin, Poland.
Medical University of Lublin · PLUniversity of Szczecin · PLMedical University of Lodz · PLNicolaus Copernicus University · PLUniversity of Łódź · PL

Funding

Biogen Poland POL-TYS-13-10598
6 · The paper itself

Abstract

The use of a highly-effective treatment for multiple sclerosis (MS) is associated with a severe risk of developing complications, such as progressive multifocal leukoencephalopathy (PML) caused by the John Cunningham virus (JCV). The aim of this study was to evaluate the correlation between anti-JCV Ab seroprevalence, anti-JCV AI, demographic and clinical factors as well as the type of therapy used in the Polish MS population. This is a multicentre, prospective and cross-sectional study involving 1405 MS patients. The seroprevalence of anti-JCV Ab and anti-JCV AI levels as well as AI categories were analysed with the use of a second-generation two-step ELISA test (STRATIFY JCV DxSelect). The overall prevalence of anti-JCV Ab was 65.8%. It was shown that seroprevalence increases with the patient's age. The seroprevalence was significantly associated with the treatment type, and the highest values (76%) were obtained from immunosuppressant-treated patients. Overall, 63.3% of seropositive patients had an antibody index (AI) level of >1.5. In the seropositive patient group, the mean AI level amounted to 2.09. Similarly to the seroprevalence, AI levels correlated with the patient's age; AI level for patients above 40 years old and from subsequent age quintiles plateaued, amounting to at least 1.55. Patients treated with immunosuppressants and immunomodulatory drugs obtained the highest (1.67) and lowest (1.35) AI levels, respectively. Of the immunosuppressants used, the highest mean AI levels were observed in mitoxantrone and cladribine groups, amounting to 1.75 and 1.69, respectively. In patients treated with immunomodulatory drugs, the lowest AI levels were observed in the dimethyl fumarate (DMF) group (1.11). The seroprevalence rate in the Polish MS population is one of the highest in Europe. The majority of seropositive patients had an anti-JCV Ab level qualifying them for a high-risk category. The highest mean AI levels are observed in patients receiving immunosuppressants, especially mitoxantrone and cladribine. Patients receiving immunomodulatory drugs have lower AI levels compared to treatment-naïve subjects, especially when treated with DMF. Further studies, especially longitudinal studies, are required to determine the impact of MS drugs on the seroprevalence of anti-JCV Ab and AI levels.

Indexed as

antibody indexanti-JCV antibodydisease-modifying therapiesJohn Cunningham virusmultiple sclerosis

Identifiers

PMID34066624
PMCPMC8124193
OpenAlexW3159486941

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.