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The Lancet
Article . 2023 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
The Lancet
Article . 2023
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Systemic sclerosis

Authors: Volkmann, Elizabeth R; Andréasson, Kristofer; Smith, Vanessa;

Systemic sclerosis

Abstract

Systemic sclerosis, also known as scleroderma, is a rare and complex autoimmune connective-tissue disease. Once considered an untreatable and unpredictable condition, research advancements have improved our understanding of its disease pathogenesis and clinical phenotypes and expanded our treatment armamentarium. Early and accurate diagnosis is essential, while ongoing efforts to risk stratify patients have a central role in predicting both organ involvement and disease progression. A holistic approach is required when choosing the optimal therapeutic strategy, balancing the side-effect profile with efficacy and tailoring the treatment according to the goals of care of the patient. This Seminar reviews the multiple clinical dimensions of systemic sclerosis, beginning at a precursor very early stage of disease, with a focus on timely early detection of organ involvement. This Seminar also summarises management considerations according to the pathological hallmarks of systemic sclerosis (eg, inflammation, fibrosis, and vasculopathy) and highlights unmet needs and opportunities for future research and discovery.

Keywords

Multiple Sclerosis, Biomedical and clinical sciences, Clinical Sciences, Neurodegenerative, Autoimmune Disease, Medical and Health Sciences, Scleroderma, Autoimmune Diseases, Rare Diseases, General & Internal Medicine, Medicine and Health Sciences, 2.1 Biological and endogenous factors, Humans, Vascular Diseases, Aetiology, Scleroderma, Systemic, Biomedical and Clinical Sciences, Prevention, Inflammatory and immune system, Systemic, Neurosciences, Health sciences, General Medicine, Fibrosis, Brain Disorders, Disease Progression

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    174
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 0.1%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
174
Top 1%
Top 10%
Top 0.1%
Green