Evidence map›Paper›PMID 33786066›Full record

ReviewTherapeutic advances in neurological disorders2021

Rituximab in the treatment of immune-mediated necrotizing myopathy: a review of case reports and case series.

Anji Xiong, Guancui Yang, Zhuoyao Song, Chen Xiong, Deng Liu, Yu Shuai, Linqian He, Liangwen Zhang, Zepeng Guo, Shiquan Shuai

Open access · goldAbstract readReview
In one paragraph

Review in Therapeutic advances in neurological disorders, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

13 citing papers in PubMed, 23 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Immune-Mediated Necrotizing Myopathies: Current Landscape.Current neurology and neuroscience reports · 2024
    Review
  8. Observational
  9. Review
  10. Article
  11. Review
  12. Review
  13. Article
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 2 institutions in 1 country.

Anji XiongDepartment of Rheumatology and Immunology, Nanchong Central Hospital, The Second Clinical Medical College, North Sichuan Medical College, No.97, Renmin Nan Lu, Nanchong, Sichuan, China.ORCID https://orcid.org/0000-0002-4342-3738
Guancui YangDepartment of Rheumatology and Immunology, Nanchong Central Hospital, The Second Clinical Medical College, North Sichuan Medical College, No.97,Renmin Nan Lu, Nanchong, Sichuan, China.
Zhuoyao SongDepartment of Rheumatology and Immunology, Nanchong Central Hospital, Nanchong, Sichuan, China.
Chen XiongDepartment of Rheumatology and Immunology, Nanchong Central Hospital, Nanchong, Sichuan, China.
Deng LiuDepartment of Rheumatology and Immunology, Nanchong Central Hospital, Nanchong, Sichuan, China.
Yu ShuaiDepartment of Rheumatology and Immunology, Nanchong Central Hospital, Nanchong, Sichuan, China.
Linqian HeDepartment of Rheumatology and Immunology, Nanchong Central Hospital, Nanchong, Sichuan, China.
Liangwen ZhangDepartment of Rheumatology and Immunology, Nanchong Central Hospital, Nanchong, Sichuan, China.
Zepeng GuoDepartment of Rheumatology and Immunology, Nanchong Central Hospital, Nanchong, Sichuan, China.
Shiquan ShuaiDepartment of Rheumatology and Immunology, Nanchong Central Hospital, Nanchong, Sichuan, China.
Nanchong Central Hospital · CNNorth Sichuan Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immune-mediated necrotizing myopathy (IMNM) is a group of immune-related myopathies characterized by progressive proximal muscle weakness, extremely high serum creatine kinase (CK) levels, and necrotic muscle fibers with a relative lack of inflammation. Treatment of IMNM is challenging, with most cases refractory to high-dose steroids in combination with multiple immunotherapies. The role of rituximab (RTX) for IMNM has been explored in isolated case reports and small series. The aim of this article was to perform a literature review of patients with IMNM treated with RTX and to evaluate RTX efficacy and safety. A total of 34 patients with IMNM were reviewed: 52.9% (18/34) with anti-signal recognition particle (SRP) antibodies and 47.1% (16/34) with anti-3-hydroxy-3-methylglutaryl-CoA reductase (HMGCR) antibodies. Patient age at onset varied from 11 years to 81 years (mean 41 years). The majority of patients presented as a severe proximal muscle weakness and the peak level of CK varied from 3900 IU/L to 56,000 IU/L (mean 18,440 IU/L). Prior to RTX administration, all patients were treated with high-dose steroids and most were treated with multiple immunotherapies. The reason for initiating RTX was that 64.7% (22/34) of patients showed no improvement after previous treatments, and 35.3% (12/34) of patients relapsed when attempting to wean steroids or other immunosuppressive agents. With regard to RTX efficacy, 61.8% (21/34) of patients presented a response to RTX. Our data may support the use of RTX as an effective treatment strategy against IMNM resistant to steroids and multiple immunotherapies. Meanwhile, RTX as a first-line therapy could be a choice in IMNM, particularly in African Americans with anti-SRP antibody-positive subsets. ANA, antinuclear antibody; CK, creatine kinase; HMGCR, 3-hydroxy-3-methylglutaryl-CoA reductase; IMNM, immune-mediated necrotizing myopathy; MAC, membrane attack complex; MHC-I, major histocompatibility complex-I; RTX, rituximab; SRP, signal recognition particle.

Indexed as

3-hydroxy-3-methylglutaryl-CoA reductaseanti-CD20immune-mediated necrotizing myopathyrituximabsignal recognition particle

Identifiers

PMID33786066
PMCPMC7958167
OpenAlexW3136351970

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.