Evidence map›Paper›PMID 39636383›Full record

ReviewCurrent rheumatology reports2024

Newer Autoantibodies and Laboratory Assessments in Myositis.

Georgina R Harvey, Christine MacFadyen, Sarah L Tansley

Abstract readReview
In one paragraph

Review in Current rheumatology reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Autoantibodies as biomarkers of cancer risk in dermatomyositis.JID innovations : skin science from molecules to population health · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. 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

3 authors.

Georgina R HarveyDepartment of Life Sciences, University of Bath, Claverton Down, Bath, BA2 7AY, UK.
Christine MacFadyenGreat Western Hospital, Swindon, UK.
Sarah L TansleyDepartment of Life Sciences, University of Bath, Claverton Down, Bath, BA2 7AY, UK. slt32@bath.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewWe aim to describe the immunoassays that have been used for myositis autoantibody discovery with a focus on newer methods. We describe recently identified myositis autoantibodies that do not yet form part of routine clinical testing, highlighting what is known about their associated clinical phenotype and potential clues as to their presence. RECENT

findingsNovel approaches to autoantibody detection have been employed in recent years including chemiluminescent immunoassay, phage immunoprecipitation-sequencing and modifications to the more traditional immunoprecipitation technique. This has led to the discovery of novel autoantibodies, including novel anti-aminoacyl-tRNA synthetase autoantibodies and autoantibodies which modify cancer risk for patients with anti-TIF1ɣ associated dermatomyositis. New approaches to novel autoantibody detection have facilitated autoantibody discovery and will enable the identification of autoantibodies to a broader range of autoantigens. Challenges remain in translating this knowledge into accessible testing particularly given the rarity of most recently discovered autoantibodies.

Indexed as

AutoantibodiesMyositisAmino Acyl-tRNA SynthetasesAutoantigensHumansImmunoassayAmino Acyl-tRNA SynthetasesAutoantibodiesAutoantigensAutoantibodyBiomarkerDetectionIdiopathic inflammatory myopathyImmunoassayMyositis

Identifiers

PMID39636383
PMCPMC11621185

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.