Evidence map›Paper›PMID 38861146›Full record

ArticleDoklady. Biochemistry and biophysics2024

The Use of "Acellbia"-A Biosimilar of Rituximab in Systemic Sclerosis.

L P Ananyeva, L A Garzanova, O V Desinova, R U Shayakhmetova, M N Starovoitova, O A Koneva, O B Ovsyannikova, S I Glukhova, E L Nasonov

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Article in Doklady. Biochemistry and biophysics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

L P AnanyevaNasonova Research Institute of Rheumatology, Moscow, Russia. lpana@yandex.ru.
L A GarzanovaNasonova Research Institute of Rheumatology, Moscow, Russia.
O V DesinovaNasonova Research Institute of Rheumatology, Moscow, Russia. lyuda-garzanova@yandex.ru.
R U ShayakhmetovaNasonova Research Institute of Rheumatology, Moscow, Russia.
M N StarovoitovaNasonova Research Institute of Rheumatology, Moscow, Russia.
O A KonevaNasonova Research Institute of Rheumatology, Moscow, Russia.
O B OvsyannikovaNasonova Research Institute of Rheumatology, Moscow, Russia.
S I GlukhovaNasonova Research Institute of Rheumatology, Moscow, Russia.
E L NasonovNasonova Research Institute of Rheumatology, Moscow, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The possibilities of modern therapy for systemic sclerosis (SSc) remains limited, since most of the used drugs do not have a disease-modifying effect. This encourages the study of new approaches that potentially affect the fundamental pathological processes underlying the disease. One example is anti-B-cell therapy, in particular rituximab (RTX). Until now RTX does not have a registration for the treatment of SSc, but there is a large positive experience of its use, which is reflected in recent meta-analyses and clinical recommendations. Complicated and expensive methods for obtaining genetically engineered biological drugs (biologics) have contributed to the emergence of more accessible biosimilars, one of which is the RTX biosimilar, Acellbia (Biocad, Russian Federation). The ''biosimilar'' versions of RTX might reduce the cost of therapy and increase patients accessibility to this treatment option. The RTX biosimilar Acellbia (ACB) has received approval in Russian Federation in 2014 for all indications held by reference RTX (including rheumatoid arthritis and ANCA-associated vasculitis).

Indexed as

Biosimilar PharmaceuticalsRituximabScleroderma, SystemicHumansBiosimilar PharmaceuticalsRituximabacellbiarituximabsystemic sclerosis

Identifiers

What OpenQuestion holds

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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.