Evidence map›Paper›PMID 30581413›Full record

ArticleFrontiers in neurology2018

Real-World Lab Data in Natalizumab Treated Multiple Sclerosis Patients Up to 6 Years Long-Term Follow Up.

Maxi Kaufmann, Rocco Haase, Undine Proschmann, Tjalf Ziemssen, Katja Akgün

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neurology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

24 citing papers in PubMed, 41 citations in OpenAlex.

  1. The Art of Sequencing Disease-Modifying Therapies in Multiple Sclerosis.Neurology(R) neuroimmunology & neuroinflammation · 2026
    Review
  2. Treatment approaches to patients with multiple sclerosis and coexisting psoriasis - A longitudinal multicenter observational cohort study.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2026
    Observational
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  16. Digital Twins for Multiple Sclerosis.Frontiers in immunology · 2021
    Review
  17. Article
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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

5 authors at 1 institution in 1 country.

Maxi KaufmannMS Center Dresden, Center of Clinical Neuroscience, Carl Gustav Carus University Hospital, University of Technology Dresden, Dresden, Germany.
Rocco HaaseMS Center Dresden, Center of Clinical Neuroscience, Carl Gustav Carus University Hospital, University of Technology Dresden, Dresden, Germany.
Undine ProschmannMS Center Dresden, Center of Clinical Neuroscience, Carl Gustav Carus University Hospital, University of Technology Dresden, Dresden, Germany.
Tjalf ZiemssenMS Center Dresden, Center of Clinical Neuroscience, Carl Gustav Carus University Hospital, University of Technology Dresden, Dresden, Germany.
Katja AkgünMS Center Dresden, Center of Clinical Neuroscience, Carl Gustav Carus University Hospital, University of Technology Dresden, Dresden, Germany.
University Hospital Carl Gustav Carus · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Natalizumab inhibits the transmigration of immune cells across the blood-brain barrier thus inhibiting inflammation in the central nervous system. Generally, this blockade at the blood-brain barrier has significant influence on the circulating lymphocytes. Up to date, only short-term data on peripheral blood parameters are available which are mostly from controlled clinical trials and not from real-world experience. Real-world lab data of 120 patients diagnosed with highly active disease course of relapsing-remitting multiple sclerosis (RRMS) were analyzed during natalizumab treatment. Patient sampling was performed by consecutive recruitment in the Multiple Sclerosis Center Dresden. Lab testing was performed before and at every third infusion up to 72 months follow-up. After first natalizumab infusion, absolute numbers of all major lymphocyte populations including CD4+ T-cells, CD8+ T-cells, CD19+ B-cells, and NK-cells significantly increased and remained stable during the whole observation period of 72 months. Upon lymphocyte subsets, CD19+ B-cells presented a disproportionate increase up to levels higher than normal level in most of the treated patients. Neutralizing antibodies to natalizumab abrogated the described changes. Intra-individual variation of lymphocytes and its subsets remained in a narrow range for the whole treatment period. CD4/CD8 ratio did not change compared to baseline measurement up to 6 years of natalizumab treatment. Monocytes, eosinophils, and basophils, but not neutrophils persistently increased during natalizumab treatment. Hematological parameters including erythrocyte, platelet count, hemoglobin, and hematocrit remained unchanged compared to baseline. Interestingly, immature precursor cells including erythroblasts were detectable in 36,8% of the treated patients during natalizumab therapy, but not in the pretreatment period. Asymptomatic elevations of liver enzymes were rare, mostly only transient and lower than 3x upper normal limit. Kidney function parameters remained stable within physiological ranges in most patients. CRP levels >20 mg/dl were recognized only in 10 patients during natalizumab therapy and were mostly linked to respiratory tract infections. In our present analysis, we report persistent, but stable increases of peripheral immune cell subtypes in natalizumab treated patients. Additional serological analyses confirm excellent tolerability and safety even 6 years after natalizumab initiation in post-marketing experience.

Indexed as

clinical practicemultiple sclerosisnatalizumabperipheral immune cell subtypesreal-world lab data

Identifiers

PMID30581413
PMCPMC6292961
OpenAlexW2904124868

What OpenQuestion holds

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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.