Evidence map›Paper›PMID 37534789›Full record

ArticleCurrent neuropharmacology2023

Ofatumumab and Early Immunological Cells Subset Characterization in Naïve Relapsing Multiple Sclerosis Patients: A Real-World Study.

Emanuele D'Amico, Aurora Zanghì, Roberta Fantozzi, Diego Centonze, Carlo Avolio

Open access · hybridAbstract read
In one paragraph

Article in Current neuropharmacology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

5 citing papers in PubMed, 5 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

5 authors at 2 institutions in 1 country.

Emanuele D'AmicoDepartment of Medical and Surgical Sciences, University of Foggia, Foggia, Italy.
Aurora ZanghìDepartment of Medical and Surgical Sciences, University of Foggia, Foggia, Italy.
Roberta FantozziIRCCS Neuromed, Pozzilli, Italy.
Diego CentonzeIRCCS Neuromed, Pozzilli, Italy.
Carlo AvolioDepartment of Medical and Surgical Sciences, University of Foggia, Foggia, Italy.
University of Foggia · ITIstituto Neurologico Mediterraneo · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOfatumumab (OFA) is a fully human anti-CD20 monoclonal antibody administered with a 20 mg subcutaneous monthly dosing regimen.

methodsInclusion criteria were patients: 1) aged 18-55; 2) with a confirmed diagnosis of relapsing Multiple Sclerosis (RMS), per the revised 2010 McDonald criteria; 2) who started OFA according to Italian Medicines Agency prescription rules and within 12 months from the RMS diagnosis; 3) naïve to any disease-modifying therapy. The primary outcome was to offer an overview of cellular subsets of RMS naïve patients (time 0) and then after 4 weeks (time 1) and 12 weeks (time 2) on therapy with OFA in a real-world setting.

resultsFifteen patients were enrolled. CD3+ T cell frequencies were higher at time 1 (%80.4, SD 7.7) and time 2 (%82.6, SD 5.8) when compared to time 0 (%72.4, SD 9.8), p = .013. B naïve cells were barely detectable in the OFA group at time 1 (%0.4, SD 0.5) and 2 (%1.4, SD 2.9) when compared to time 0 (%11.5, SD 3.8), p < .001.

conclusionThe progressive and increasing use of anti-CD20 drugs imposes the need for larger, prospective, real-world, long-term studies to characterize further immunophenotypes of patients with RMS treated with OFA.

Indexed as

Multiple SclerosisAntibodies, MonoclonalAntibodies, Monoclonal, HumanizedHumansProspective StudiesAntibodies, MonoclonalAntibodies, Monoclonal, Humanizedofatumumabanti-CD20b-cellsimmunological cells subsetimmunophenotypemultiple sclerosisOfatumumab

Identifiers

PMID37534789
PMCPMC10614110
OpenAlexW4385501632

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.