ReviewFrontiers in immunology2024
Environment and systemic autoimmune rheumatic diseases: an overview and future directions.
Review in Frontiers in immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 3 of them syntheses 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
14 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Environmental exposures in autoimmune inflammatory rheumatic diseases: a priority-based evidence map, immune-mechanism integration audit and research agenda.Frontiers in immunology · 2026Pooled it
- Molecular mechanisms and risk factors in rheumatoid arthritis: a comprehensive review.Inflammopharmacology · 2026Pooled it
- The role of microRNAs and long non-coding RNAs in epigenetic regulation of T cells: implications for autoimmunity.Frontiers in immunology · 2025Pooled it
- Review
- Rheumatoid Factor Beyond Rheumatoid Arthritis: A Potential Marker of Cardiometabolic and Hepatic Risk.Biologics : targets & therapy · 2026Review
- Can the simple chicken MHC provide insight into the balance of autoimmunity and infectious disease?Immunogenetics · 2025Review
- In utero and early life exposures to smoking are associated with systemic autoimmune rheumatic diseases.Seminars in arthritis and rheumatism · 2025Observational
- Diet, Lifestyle Factors, and Quality of Life in Patients with Rheumatic Diseases: A Cross-Sectional Study.Nutrients · 2025Article
- Editorial for Recent Advances in Autoimmune Rheumatic Diseases: 2nd Edition.Medicina (Kaunas, Lithuania) · 2025Article
- Hidden disabilities in patients with autoimmune rheumatic disease: an invisible barrier to daily functioning and healthcare accessibility.EULAR rheumatology open · 2025Article
- Infections preceding diagnosis associated with myositis phenotypes in a national patient registry.Clinical and experimental rheumatology · 2025Article
- Environmental Risk Factors for Systemic Lupus Erythematosus Through the Lens of Social Determinants of Health.Arthritis care & research · 2025Review
- Occupational history of psychosocial work environment exposures and risk of autoimmune rheumatic diseases - a Danish register-based cohort study.Scandinavian journal of work, environment & health · 2025Article
- Uncovering exposome-related diseases through the pathologic metallome: a novel approach for clinical populations.Frontiers in toxicology · 2025Article
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.
Funding
Abstract
Introduction: Despite progress in our understanding of disease pathogenesis for systemic autoimmune rheumatic diseases (SARD), these diseases are still associated with high morbidity, disability, and mortality. Much of the strongest evidence to date implicating environmental factors in the development of autoimmunity has been based on well-established, large, longitudinal prospective cohort studies. Methods: Herein, we review the current state of knowledge on known environmental factors associated with the development of SARD and potential areas for future research. Results: The risk attributable to any particular environmental factor ranges from 10-200%, but exposures are likely synergistic in altering the immune system in a complex interplay of epigenetics, hormonal factors, and the microbiome leading to systemic inflammation and eventual organ damage. To reduce or forestall the progression of autoimmunity, a better understanding of disease pathogenesis is still needed. Conclusion: Owing to the complexity and multifactorial nature of autoimmune disease, machine learning, a type of artificial intelligence, is increasingly utilized as an approach to analyzing large datasets. Future studies that identify patients who are at high risk of developing autoimmune diseases for prevention trials are needed.
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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.