Evidence map›Paper›PMID 28663002›Full record

ArticleJournal of autoimmunity2017

Autoantibodies in juvenile-onset myositis: Their diagnostic value and associated clinical phenotype in a large UK cohort.

Sarah L Tansley, Stefania Simou, Gavin Shaddick, Zoe E Betteridge, Beverley Almeida, Harsha Gunawardena, Wendy Thomson, Michael W Beresford, Angela Midgley, Francesco Muntoni and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of autoimmunity, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 101 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
101citing papers in PubMed, 3 pooled it
9.8field-weighted citation impact, top 1% 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

101 citing papers in PubMed, 3 syntheses or guidelines pooled it, 187 citations in OpenAlex.

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41 more citing papers are in PubMed but not listed here.

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

12 authors at 6 institutions in 1 country.

Sarah L TansleyRoyal National Hospital for Rheumatic Diseases, Royal United Hospitals Bath NHS Foundation Trust, Upper Borough Walls, Bath, BA1 1RL, UK; Department of Pharmacy and Pharmacology, University of Bath, Claverton Down, Bath, BA2 7AY, UK. Electronic address: s.tansley@nhs.net.
Stefania SimouInflammation and Rheumatology Section, UCL Institute of Child Health and Arthritis Research UK Centre for Adolescent Rheumatology at UCL, UCLH and GOSH, London, UK.
Gavin ShaddickDepartment of Mathematics, University of Bath, Claverton Down, Bath, BA2 7AY, UK.
Zoe E BetteridgeDepartment of Pharmacy and Pharmacology, University of Bath, Claverton Down, Bath, BA2 7AY, UK.
Beverley AlmeidaInflammation and Rheumatology Section, UCL Institute of Child Health and Arthritis Research UK Centre for Adolescent Rheumatology at UCL, UCLH and GOSH, London, UK; Department of Rheumatology, Great Ormond Street Children's Hospital, London, UK.
Harsha GunawardenaClinical and Academic Rheumatology, North Bristol NHS Trust, Southmead Hospital, Bristol, BS10 5NB, UK.
Wendy ThomsonArthritis Research UK Centre Genetics and Genomics, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, The University of Manchester and NIHR Manchester Musculoskeletal Biomedical Research Unit, Central Manchester NHS Foundation Trust, UK.
Michael W BeresfordInstitute of Translational Medicine, University of Liverpool, Liverpool, UK; Department of Paediatric Rheumatology, Alder Hey Children's NHS Foundation Trust, Liverpool, UK; Arthritis Research UK Experimental Arthritis Treatment Centre for Children, Liverpool, UK.
Angela MidgleyInstitute of Translational Medicine, University of Liverpool, Liverpool, UK; Arthritis Research UK Experimental Arthritis Treatment Centre for Children, Liverpool, UK.
Francesco MuntoniDevelopmental Neuroscience Programme, UCL Great Ormond Street Institute of Child Health, MRC Centre for Neuromuscular Diseases, UCL, London, UK.
Lucy R WedderburnInflammation and Rheumatology Section, UCL Institute of Child Health and Arthritis Research UK Centre for Adolescent Rheumatology at UCL, UCLH and GOSH, London, UK; Department of Rheumatology, Great Ormond Street Children's Hospital, London, UK; Arthritis Research UK Centre for Adolescent Rheumatology at UCL, UCLH and GOSH, London, UK.
Neil J McHughRoyal National Hospital for Rheumatic Diseases, Royal United Hospitals Bath NHS Foundation Trust, Upper Borough Walls, Bath, BA1 1RL, UK; Department of Pharmacy and Pharmacology, University of Bath, Claverton Down, Bath, BA2 7AY, UK.
University of Bath · GBUniversity College London · GBUniversity of Liverpool · GBGreat Ormond Street Hospital · GBManchester Academic Health Science Centre · GBNorth Bristol NHS Trust · GB

Funding

Arthritis Research UK 20417Arthritis Research UK 20747Versus Arthritis 20542
6 · The paper itself

Abstract

objectivesJuvenile myositis is a rare and heterogeneous disease. Diagnosis is often difficult but early treatment is important in reducing the risk of associated morbidity and poor outcomes. Myositis specific autoantibodies have been described in both juvenile and adult patients with myositis and can be helpful in dividing patients into clinically homogenous groups. We aimed to explore the utility of myositis specific autoantibodies as diagnostic and prognostic biomarkers in patients with juvenile-onset disease.

methodsUsing radio-labelled immunoprecipitation and previously validated ELISAs we examined the presence of myositis specific autoantibodies in 380 patients with juvenile-onset myositis in addition to, 318 patients with juvenile idiopathic arthritis, 21 patients with juvenile-onset SLE, 27 patients with muscular dystrophies, and 48 healthy children.

resultsAn autoantibody was identified in 60% of juvenile-onset myositis patients. Myositis specific autoantibodies (49% patients) were exclusively found in patients with myositis and with the exception of one case were mutually exclusive and not found in conjunction with another autoantibody. Autoantibody subtypes were associated with age at disease onset, key clinical disease features and treatment received.

conclusionsIn juvenile patients the identification of a myositis specific autoantibody is highly suggestive of myositis. Autoantibodies can be identified in the majority of affected children and provide useful prognostic information. There is evidence of a differential treatment approach and patients with anti-TIF1γ autoantibodies are significantly more likely to receive aggressive treatment with IV cyclophosphamide and/or biologic drugs, clear trends are also visible in other autoantibody subgroups.

Indexed as

AdolescentAutoantibodiesBiomarkersChildChild, PreschoolCohort StudiesCyclophosphamideDermatomyositisFemaleHumansImmunosuppressive AgentsMalePhenotypePredictive Value of TestsPrognosisTranscription FactorsAutoantibodiesBiomarkersCyclophosphamideImmunosuppressive AgentsTranscription FactorsTRIM33 protein, humanAutoantibodyAutoimmune diseaseMyopathyMyositisPaediatric rheumatologyPhenotype

Identifiers

PMID28663002
PMCPMC5656106
OpenAlexW2701327954

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.