ReviewNature reviews. Rheumatology2025
An international perspective on the future of systemic sclerosis research.
Review in Nature reviews. Rheumatology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 14 papers, 1 of them a synthesis that pooled 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.
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
14 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Sex-specific autosomal susceptibility loci in systemic sclerosis: a genome-wide association study.The Lancet. Rheumatology · 2026Pooled it
- From technological iteration to clinical breakthrough: advances of CAR-T cell therapy in autoimmune diseases.Annals of medicine · 2026Review
- Macrophage programming in systemic sclerosis: Niches, networks, and translational horizons.Seminars in immunopathology · 2026Review
- Metabolic reprogramming in fibrosis-related diseases: underlying mechanisms and therapeutics.Molecular biomedicine · 2026Review
- Cross-cultural adaptation, reliability and construct validity of the Arabic Scleroderma Assessment Questionnaire in Egyptian patients with systemic sclerosis.Clinical rheumatology · 2026Article
- Deep phenotyping of skin tissue remodeling in patients with systemic sclerosis treated with CD19-CAR T cells.Nature communications · 2026Article
- RUNX1 is expressed in a subpopulation of dermal fibroblasts and is associated with disease severity of systemic sclerosis.Annals of the rheumatic diseases · 2026Article
- Selection for Function in Complex Distributed Pathological Systems.Evolutionary applications · 2026Article
- Association ofInternational journal of molecular sciences · 2026Article
- CD14Frontiers in immunology · 2026Article
- Integrated inflammatory-immune-nutritional signatures differentiate lung phenotypes in systemic sclerosis.Frontiers in medicine · 2026Article
- The senescence-like activity of BMS-470539 is associated with anti-fibrotic actions in models of dermal fibrosis.Arthritis research & therapy · 2025Article
- [Pharmacological inhibition of fibrosis exemplified by systemic sclerosis : Possibilities and limits].Innere Medizin (Heidelberg, Germany) · 2025Article
- Machine Learning Analysis of Electronic Health Records Identifies Interstitial Lung Disease and Predicts Mortality in Patients with Systemic Sclerosis.medRxiv : the preprint server for health sciences · 2025Article
Corrections and comments
- Erratum issued
Authors and funding
26 authors.
Funding
Abstract
Systemic sclerosis (SSc) remains a challenging and enigmatic systemic autoimmune disease, owing to its complex pathogenesis, clinical and molecular heterogeneity, and the lack of effective disease-modifying treatments. Despite a century of research in SSc, the interconnections among microvascular dysfunction, autoimmune phenomena and tissue fibrosis in SSc remain unclear. The absence of validated biomarkers and reliable animal models complicates diagnosis and treatment, contributing to high morbidity and mortality. Advances in the past 5 years, such as single-cell RNA sequencing, next-generation sequencing, spatial biology, transcriptomics, genomics, proteomics, metabolomics, microbiome profiling and artificial intelligence, offer new avenues for identifying the early pathogenetic events that, once treated, could change the clinical history of SSc. Collaborative global efforts to integrate these approaches are crucial to developing a comprehensive, mechanistic understanding and enabling personalized therapies. Challenges include disease classification, clinical heterogeneity and the establishment of robust biomarkers for disease activity and progression. Innovative clinical trial designs and patient-centred approaches are essential for developing effective treatments. Emerging therapies, including cell-based and fibroblast-targeting treatments, show promise. Global cooperation, standardized protocols and interdisciplinary research are vital for advancing SSc research and improving patient outcomes. The integration of advanced research techniques holds the potential for important breakthroughs in the diagnosis, treatment and care of individuals with SSc.
Indexed as
Identifiers
39953141What OpenQuestion holds
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.