Evidence map›Paper›PMID 36776390›Full record

ReviewFrontiers in immunology2022

Scleromyositis: A distinct novel entity within the systemic sclerosis and autoimmune myositis spectrum. Implications for care and pathogenesis.

Margherita Giannini, Benjamin Ellezam, Valérie Leclair, Frédéric Lefebvre, Yves Troyanov, Marie Hudson, Jean-Luc Senécal, Bernard Geny, Océane Landon-Cardinal, Alain Meyer

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
–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

26 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

10 authors.

Margherita GianniniService de Physiologie et explorations fonctionnelles, University Hospital of Strasbourg, Strasbourg, France.
Benjamin EllezamDivision of Pathology, Centre Hospitalier Universitaire (CHU) Sainte-Justine, Department of Pathology and Cell Biology, Université de Montréal, Montréal, QC, Canada.
Valérie LeclairDivision of Rheumatology, Jewish General Hospital, Department of Medicine, McGill University, Montréal, QC, Canada.
Frédéric LefebvreDivision of Rheumatology, Centre Hospitalier de l'Université de Montréal (CHUM), Autoimmunity Research Laboratory, CHUM Research Center, Montréal, QC, Canada.
Yves TroyanovDivision of Rheumatology, Hôpital du Sacré-Coeur, Department of Medicine, Université de Montréal, Montréal, QC, Canada.
Marie HudsonDivision of Rheumatology, Jewish General Hospital, Department of Medicine, McGill University, Montréal, QC, Canada.
Jean-Luc SenécalDivision of Rheumatology, Centre Hospitalier de l'Université de Montréal (CHUM), Autoimmunity Research Laboratory, CHUM Research Center, Montréal, QC, Canada.
Bernard GenyService de Physiologie et explorations fonctionnelles, University Hospital of Strasbourg, Strasbourg, France.
Océane Landon-CardinalDivision of Rheumatology, Centre Hospitalier de l'Université de Montréal (CHUM), Autoimmunity Research Laboratory, CHUM Research Center, Montréal, QC, Canada.
Alain MeyerService de Physiologie et explorations fonctionnelles, University Hospital of Strasbourg, Strasbourg, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Systemic sclerosis and autoimmune myositis are both associated with decreased quality of life and increased mortality. Their prognosis and management largely depend on the disease subgroups. Indeed, systemic sclerosis is a heterogeneous disease, the two predominant forms of the disease being limited and diffuse scleroderma. Autoimmune myositis is also a heterogeneous group of myopathies that classically encompass necrotizing myopathy, antisynthetase syndrome, dermatomyositis and inclusion body myositis. Recent data revealed that an additional disease subset, denominated "scleromyositis", should be recognized within both the systemic sclerosis and the autoimmune myositis spectrum. We performed an in-depth review of the literature with the aim of better delineating scleromyositis. Our review highlights that this concept is supported by recent clinical, serological and histopathological findings that have important implications for patient management and understanding of the disease pathophysiology. As compared with other subsets of systemic sclerosis and autoimmune myositis, scleromyositis patients can present with a characteristic pattern of muscle involvement (i.e. distribution of muscle weakness) along with multisystemic involvement, and some of these extra-muscular complications are associated with poor prognosis. Several autoantibodies have been specifically associated with scleromyositis, but they are not currently integrated in diagnostic and classification criteria for systemic sclerosis and autoimmune myositis. Finally, striking vasculopathic lesions at muscle biopsy have been shown to be hallmarks of scleromyositis, providing a strong anatomopathological substratum for the concept of scleromyositis. These findings bring new insights into the pathogenesis of scleromyositis and help to diagnose this condition, in patients with subtle SSc features and/or no autoantibodies (i.e. "seronegative" scleromyositis). No guidelines are available for the management of these patients, but recent data are showing the way towards a new therapeutic approach dedicated to these patients.

Indexed as

Autoimmune DiseasesMyositisMyositis, Inclusion BodyScleroderma, SystemicHumansQuality of Lifeantisynthetase syndromedermatomyositisinflammatory myopathiesmixed connective tissue diseasemyositissclerodermascleromyositissystemic sclerosis

Identifiers

PMID36776390
PMCPMC9910219

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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.