ArticleIndian journal of rheumatology2020
The clinicoserological spectrum of inflammatory myopathy in the context of systemic sclerosis and systemic lupus erythematosus.
Article in Indian journal of rheumatology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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.
Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.
- Inflammatory myopathies overlapping with systemic sclerosis: a systematic review.Clinical rheumatology · 2022Pooled it
- Seronegative Immune-Mediated Necrotizing Myopathy: An Overview for Optimal Clinical Management.Current rheumatology reports · 2026Review
- Neurological, cardiac, musculoskeletal, and renal manifestations of scleroderma along with insights into its genetics, pathophysiology, diagnostic, and therapeutic updates.Health science reports · 2024Article
- Patients with inflammatory myopathies overlapping with systemic sclerosis: A Brazilian-Japanese bicentric study.Archives of rheumatology · 2023Article
- COVID-19 outcomes in patients with Dermatomyositis: A registry-based cohort analysis.Seminars in arthritis and rheumatism · 2022Article
- Exercise as a multi-modal disease-modifying medicine in systemic sclerosis: An introduction by The Global Fellowship on Rehabilitation and Exercise in Systemic Sclerosis (G-FoRSS).Best practice & research. Clinical rheumatology · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
The autoimmune rheumatic diseases (ARDs) are characterised by a pathological triad composed of autoimmunity/inflammation, microangiopathy and aberrant tissue remodelling. Disease terms such as idiopathic inflammatory myopathy (IIM), scleroderma/systemic sclerosis (SSc), and systemic lupus erythematosus (SLE) are helpful clinically but disguise the considerable overlap that exists within these 'distinct' disorders. This is perhaps best demonstrated by inflammatory myopathy, which can be present in SSc or SLE, but can itself be absent in clinically amyopathic IIM. Archetypal clinical manifestations of ARD (such as Raynaud's phenomenon) are frequently present, albeit with varying prominence, within each of these diseases. This is certainly the case for inflammatory myositis, which has long been recognised as an important clinical feature of both SSc and SLE. Progress in elucidating the clinicoserological spectrum of autoimmune rheumatic diseases has identified autoantibody specificities that are strongly associated with 'overlap' disease and the presence of inflammatory myositis in SSc and SLE. In this review, we shall describe the prevalence, burden, prognostic value and management considerations of IIM in the context of both SSc and SLE. A major emphasis on the value of autoantibodies shall highlight the value of these tools in predicting the future occurrence of inflammatory myositis in both SSc and SLE. Where applicable, unmet research needs shall be highlighted. The review emphasises the importance of myopathy as a common feature across all the ARDs, and highlights specific antibody specificities that are strongly associated with myopathy in the context of SLE and SSc.
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Registered trials
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.