Evidence map›Paper›PMID 29034436›Full record

ArticleJournal of neurology2017

Natalizumab therapy is associated with changes in serum JC virus antibody indices over time.

John Peters, Eric Williamson

Abstract read
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In one paragraph

Article in Journal of neurology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Improving risk-stratification of natalizumab-associated PML.Annals of clinical and translational neurology · 2021
    Article
  2. Observational
  3. Article
  4. Observational
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

2 authors.

John PetersPerelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA. johnjpeters9@gmail.com.ORCID http://orcid.org/0000-0002-4574-368X
Eric WilliamsonPerelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To examine changes in anti-JC Virus (JCV) index measurements over time in multiple sclerosis (MS) patients to better understand this test, which is used in assessing risk of progressive multifocal leukoencephalopathy (PML) with natalizumab. We aim to describe and compare seroconversion rates, variability of JCV antibody index values, and changes in index values over time between patients on natalizumab therapy and patients naïve to natalizumab. Anti-JCV index values are used to help decide whether to start, continue, or stop treatment. Assessing how index values vary over time is interpreted to allow a patient's risk of PML to be better characterized. Retrospective analysis was conducted using records of patients with multiple JCV antibody index measurements exposed to therapy with natalizumab (N = 150) or not (N = 145). Rates of seroconversion, variability of indices, and changes in index values over time were calculated and compared. Patients on natalizumab who were initially JCV antibody negative seroconverted at a significantly higher rate than patients naïve to natalizumab (23.9 vs. 9.1%, p < 0.01). Variability of anti-JCV indices was also found to be significantly higher for patients on natalizumab (p < 0.05). Patients on natalizumab additionally trended towards a larger increase in index values over time. Therapy with natalizumab was associated with higher rates of seroconversion and greater anti-JCV index variability, suggesting that therapy with natalizumab may influence this test used to assess risk of treatment with it.

Indexed as

AdultAntibodies, ViralCohort StudiesFemaleHumansImmunologic FactorsJC VirusMaleMultiple SclerosisNatalizumabSeroconversionAntibodies, ViralImmunologic FactorsNatalizumabDisease-modifying therapiesJC virusMultiple sclerosisNatalizumab

Identifiers

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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.