Evidence map›Paper›PMID 37090051›Full record

ReviewAnnals of translational medicine2023

Narrative review of autoantibodies in idiopathic inflammatory myopathies.

Yilin Liu, Yiming Zheng, Hongjun Hao, Yun Yuan

Open access · diamondAbstract readReview
In one paragraph

Review in Annals of translational medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.7field-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

14 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
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  5. Article
  6. [Rheumatic disease spectrum and immunological profile of anti-PM/Scl antibodies in idiopathic inflammatory myopathies].Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences · 2025
    Article
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  9. Review
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  13. Review
  14. Potential roles of lncRNA-XIST/miRNAs/mRNAs in human cancer cells.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2023
    Review
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

4 authors at 2 institutions in 1 country.

Yilin LiuDepartment of Neurology at Peking University First Hospital, Beijing, China.
Yiming ZhengDepartment of Neurology at Peking University First Hospital, Beijing, China.
Hongjun HaoDepartment of Neurology at Peking University First Hospital, Beijing, China.
Yun YuanDepartment of Neurology at Peking University First Hospital, Beijing, China.
Peking University First Hospital · CNPeking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To discuss the characteristics of autoantigens, detection methods and roles of myositis associated autoantibodies (MAAs) and myositis specific autoantibodies (MSAs), as well as the clinical features of disease subgroups defined by MAAs/MSAs. Background: Autoantibodies in patients with idiopathic inflammatory myopathies (IIMs) are conventionally divided into MAAs and MSAs. MAAs usually refer to autoantibodies which are also available in systematic autoimmune diseases (anti-PM/SCL, anti-Ku, anti-Ro52 and anti-U1RNP antibodies). MSAs refer to autoantibodies which were distinctive for IIM (anti-Mi-2, anti-MDA5, anti-TIF1gammma, anti-NXP2, anti-SAE, anti-synthetase, anti-SRP, anti-HMGCR and anti-cN1A antibodies). The discovery and identification of novel autoantigens is a long and complicated process, which brought light in immunopathogenesis of IIMs. Detection methods of MAAs/MSAs mainly consist of monospecific methods [immunoprecipitation, enzyme-linked immune sorbent assay (ELISA) and indirect immunofluorescence] and multispecific methods [line immunoassay (LIA), dot immunoassay (DIA) and addressable laser bead assay (ALBIA)]. Patients with different MAAs/MSAs have different clinical features and require different clinical management. Methods: The search engine PubMed (https://www.ncbi.nlm.nih.gov/pmc/) was used to research the keywords "autoantibodies", "idiopathic inflammatory myopathies", "detection methods" and "clinical features". A narrative review was conducted to literature findings from 1975 to 2020. Conclusions: Development and validation of efficient detection methods of MAAs and MSAs help clinicians for diagnosis, classification and management of IIMs. The exploration of clinical features associated with different autoantibodies that facilitate the creation of diagnostic and classification guidelines and further clinical decision-making is of high value.

Indexed as

clinical featuresdetection methodsIdiopathic inflammatory myopathies (IIMs)myositis associated autoantibodies (MAAs)myositis specific autoantibodies (MSAs)

Identifiers

PMID37090051
PMCPMC10116429
OpenAlexW4206796101

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.