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http://dx.doi.org/10.3899/jrheum.2023-0955 | DOI Listing |
J Scleroderma Relat Disord
October 2024
Divisions of Rheumatology and Clinical Immunology and Allergy, Departments of Medicine and Pediatrics, McMaster University, Hamilton, ON, Canada.
This scoping review aims to summarize the existing literature on how machine learning can be used to impact systemic sclerosis diagnosis, management, and treatment. Following Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) reporting guidelines, Embase, Web of Science, Medline (PubMed), IEEE Xplore, and ACM Digital Library were searched from inception to 3 March 2024, for primary literature reporting on machine learning models in any capacity regarding scleroderma. Following robust triaging, 11 retrospective studies were included in this scoping review.
View Article and Find Full Text PDFMediterr J Rheumatol
June 2024
Yaoundé Rheumatology Research Team, Yaoundé, Cameroon.
Advances in knowledge of the microbiome and its relationship with the immune system have led to a better understanding of the pathogenesis of chronic inflammatory rheumatic diseases (CIRD). Indeed, the microbiome dysbiosis now occupies a particular place with implications for the determinism and clinical expression of CIRD, as well as the therapeutic response of affected patients. Several approaches exist to limit the impact of the microbiome during CIRD.
View Article and Find Full Text PDFFront Pediatr
July 2024
Faculty of Medicine and Pharmaceutical Sciences, University of Dschang, Dschang, Cameroon.
Introduction: Studies exploring the clinical and imaging characteristics of juvenile-onset back pain (JOBP) are scarce. The purpose of this study was to assess the clinical presentation, imaging findings, and factors associated with JOBP.
Methods: A retrospective record-based study was conducted among all pediatric cases presenting to the Rheumatology unit of the Douala General Hospital, Cameroon, from January 2014 to December 2023.
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