Evidence map›Paper›PMID 41176843›Full record

SynthesisSeminars in arthritis and rheumatism2025

Analytical performance of commercial myositis-specific autoantibody tests evaluated against immunoprecipitation assays as a reference standard: A systematic review and meta-analysis.

Takahisa Gono, Albert Gil-Vila, Albert Selva-O'Callaghan, Annet van Royen-Kerkhof, Anett Vincze, Christopher Mecoli, Diana Gómez-Martín, Dörte Hamann, Edoardo Conticini, Zoltán Griger and 17 more

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Seminars in arthritis and rheumatism, 2025. 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
–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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Evaluating heterogeneity in MDA-5+ dermatomyositis through cluster analyses.Journal of the European Academy of Dermatology and Venereology : JEADV · 2026
    Article
  5. 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

27 authors.

Takahisa GonoDepartment of Allergy and Rheumatology, Nippon Medical School, Tokyo, Japan; Scleroderma/Myositis Center of Excellence, Nippon Medical School Hospital, Tokyo, Japan.
Albert Gil-VilaSystemic Autoimmune Diseases Unit, Department of Internal Medicine, Vall d'Hebron General Hospital, Barcelona, and Department of Medicine, Universitat Autònoma de Barcelona, Spain.
Albert Selva-O'CallaghanSystemic Autoimmune Diseases Unit, Department of Internal Medicine, Vall d'Hebron General Hospital, Barcelona, and Department of Medicine, Universitat Autònoma de Barcelona, Spain.
Annet van Royen-KerkhofDepartment of Neurology, Amsterdam University Medical Centre, Location AMC, Amsterdam, the Netherlands.
Anett VinczeDivision of Clinical Immunology, Department of Internal Medicine, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
Christopher MecoliJohns Hopkins University, Department of Medicine, Division of Rheumatology, Baltimore, MD, USA.
Diana Gómez-MartínDepartment of Immunology and Rheumatology, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico.
Dörte HamannCentral Diagnostic Laboratory/Center for Translational Immunology, University Medical Center Utrecht, Utrecht, the Netherlands.
Edoardo ConticiniDepartment of Rheumatology, Siena University Hospital, Viale Mario Bracci 16, 53100 Siena, Italy.
Zoltán GrigerDivision of Clinical Immunology, Department of Internal Medicine, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
Jose Jiram Torres-RuizDepartment of Immunology and Rheumatology, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico.
John D PaulingDepartment of Rheumatology, North Bristol NHS Foundation Trust, Bristol, UK.
Hector ChinoyDepartment of Rheumatology, Salford Royal Hospital, Northern Care Alliance NHS Foundation Trust, Manchester Academic Health Science Centre, Salford, UK; Division of Musculoskeletal and Dermatological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK.
Latika GuptaDepartment of Rheumatology, Royal Wolverhampton Hospitals NHS Trust, Wolverhampton, UK; School of Infection, Inflammation and Immunology, College of Medicine and Health, University of Birmingham Francis Crick Institute, London, UK.
Levente BodokiDepartment of Rheumatology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
Noreen NasirDepartment of Medicine, Aga Khan University, Karachi, Pakistan.
Pallavi Pimpale ChavanNational Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.
Raju KhubchandaniSection of Pediatric Rheumatology, NH SRCC Children's Hospital, Worli, Mumbai, India.
Trallero-Araguás Ernestoepartment of Rheumatology, Vall d'Hebron Universitary Hospital, Barcelona, Spain.
Yasuhito HamaguchiDepartment of Molecular Pathology of Skin, Faculty of Medicine, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, Kanazawa, Ishikawa, Japan.
Lisa G RiderEnvironmental Autoimmunity Group, Clinical Research Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Bethesda, MD, USA.
Rohit AggarwalDivision of Rheumatology, University of Pittsburgh, PA, USA.
Sarah TansleyDepartment of Life Sciences, University of Bath, Bath, UK.
Johan RönnelidDepartment of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
Masataka KuwanaDepartment of Allergy and Rheumatology, Nippon Medical School, Tokyo, Japan; Scleroderma/Myositis Center of Excellence, Nippon Medical School Hospital, Tokyo, Japan. Electronic address: kuwanam@nms.ac.jp.
Neil J McHughDepartment of Life Sciences, University of Bath, Bath, UK. Electronic address: N.J.McHugh@bath.ac.uk.
International Myositis Assessment and Clinical Studies Group (IMACS) Myositis Autoantibody Scientific Interest Group (SIG) Study

Funding

Assessment, Therapy and Prevention Of Autoimmune DiseaseZIAES101081 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI RIDER, LISA · 2009 to 2025
$17.6M
Intramural NIH HHS ZIA ES101081
6 · The paper itself

Abstract

objectiveTo evaluate the analytical performance of commercial myositis-specific autoantibody (MSA) assays against immunoprecipitation (IP) assays.

methodsA systematic literature search was conducted in PubMed, Web of Science, and Scopus through July 2024. Data were extracted on study design, participant characteristics, index tests, and 2 × 2 contingency tables for diagnostic performance. Study quality was assessed using the QUADAS-2 tool. Sensitivity and specificity were calculated for each dataset and presented as paired forest plots and summary receiver operating characteristic (SROC) curves. A hierarchical SROC model was used to estimate pooled sensitivity and specificity for meta-analysis.

resultsOf 3156 articles, 23 met inclusion criteria and were judged to have low risk of bias across all QUADAS-2 domains. The most frequently evaluated commercial assay was the line blot assay (LBA; 16 studies), followed by enzyme immunoassay (EIA; 9 studies). In the meta-analyses, the highest pooled sensitivity was observed for anti-MDA5 with EIA (95.7 %), followed by anti-SAE with LBA (88.3 %), anti-PL-12 with LBA (87.2 %), and anti-Jo-1 and anti-MDA5 with LBA (82.8 %). Lower sensitivities were observed for anti-Mi-2 (67.4 %), anti-NXP2 (69.7 %), and anti-TIF1-γ (63.8 %) with LBA. Pooled specificity ranged from 94.7 % to 99.3 % across MSA assays, but a false-positive result was a common concern for LBA, except for anti-EJ.

conclusionFalse-positive and false-negative results remain a significant challenge in the use of commercial MSA assays.

Indexed as

AutoantibodiesImmunoprecipitationMyositisHumansReference StandardsSensitivity and SpecificityAutoantibodiesAutoantibodyDiagnostic accuracy testMeta-analysisMyositisSystematic review

Identifiers

PMID41176843
PMCPMC12858645

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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.