ArticleJournal of scleroderma and related disorders2021
Considerations for a combined index for limited cutaneous systemic sclerosis to support drug development and improve outcomes.
Article in Journal of scleroderma and related disorders, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Advancing drug development for systemic sclerosis by prioritizing findings from human genetic association studies.Rheumatology (Oxford, England) · 2026Review
- Serum Type I Interferon Score for Prediction of Clinically Meaningful Disease Progression in Limited Cutaneous Systemic Sclerosis.Arthritis & rheumatology (Hoboken, N.J.) · 2025Observational
- Raynaud's Phenomenon: A Current Update on Pathogenesis, Diagnostic Workup, and Treatment.Vascular specialist international · 2024Review
- The long-term course of the Health Assessment Questionnaire in patients with systemic sclerosis.Journal of scleroderma and related disorders · 2023Article
- Cutaneous Manifestations, Clinical Characteristics, and Prognosis of Patients With Systemic Sclerosis Sine Scleroderma: Data From the International EUSTAR Database.JAMA dermatology · 2023Observational
- Therapeutic Approaches to Systemic Sclerosis: Recent Approvals and Future Candidate Therapies.Clinical reviews in allergy & immunology · 2023Review
- Assessment of disease outcome measures in systemic sclerosis.Nature reviews. Rheumatology · 2022Review
- Domains and outcome measures for the assessment of limited cutaneous systemic sclerosis: an international collaborative scoping review.Rheumatology (Oxford, England) · 2022Article
- Symptom experience of limited cutaneous systemic sclerosis from the Patients' perspective: A qualitative studySeminars in arthritis and rheumatism · 2022Article
- Open questions on the management of targeted therapies for the treatment of systemic sclerosis-interstitial lung disease: results of a EUSTAR survey based on a systemic literature review.Therapeutic advances in musculoskeletal disease · 2022Review
- New promising drugs for the treatment of systemic sclerosis: pathogenic considerations, enhanced classifications, and personalized medicine.Expert opinion on investigational drugs · 2021Review
- Domains and outcome measures for the assessment of limited cutaneous systemic sclerosis: a scoping review protocol.BMJ open · 2021Article
Corrections and comments
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Authors and funding
20 authors.
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Abstract
Systemic sclerosis (SSc; systemic scleroderma) is characterized by a heterogeneous range of clinical manifestations. SSc is classified into limited cutaneous SSc (lcSSc) and diffuse cutaneous subgroups (dcSSc) based on the extent of skin involvement. Randomized controlled trials in scleroderma have mainly focused on dcSSc partly because the measurement of skin involvement, critical for evaluating a therapeutic intervention is more dynamic in this subset. Nonetheless, lcSSc, the most common cutaneous subset (about 2/3), is also associated with significant morbidity and detrimental impact on health-related quality of life. The lack of interventional studies in lcSSc is partly due to a lack of relevant outcome measures to evaluate this subgroup. Combining several clinically meaningful outcomes selected specifically for lcSSc may improve representativeness in clinical trials and responsiveness of outcomes measured in randomized controlled trials. A composite index dedicated to lcSSc combining such relevant outcomes could advance clinical trial development for lcSSc by providing the opportunity to test and select among candidate drugs that could act as disease-modifying treatments for this neglected subgroup of SSc. This proposed index would include items selected by expert physicians and patients with lcSSc across domains grounded in the lived experience of lcSSc. This article reviews the reasons behind the relative neglect of lcSSc, discusses the current state of outcome measures for lcSSc, identifies challenges, and proposes a roadmap for a combined lcSSc-specific treatment response index.
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