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Study Summary
Childhood Sjögren’s disease is a rare and not well-understood condition. The Florida Scoring System, developed using machine learning models on a pediatric cohort, aims to help categorize symptomatic pediatric patients with suspected Sjögren’s disease.
Practical Solutions and Value
- The Florida Scoring System can assist in classifying and monitoring suspected childhood Sjögren’s disease.
- It has important implications for clinical management, trial design, and pathobiological research.
- This system highlights the need for clinical attention to highly symptomatic patient groups with negative serology and diagnostic profiles.
- Salivary gland ultrasonography is revealed as a non-invasive alternative to minor salivary gland biopsy in children.
- Validation of the Florida Scoring System in larger prospective pediatric cohorts is necessary.
Funding
This study was funded by the National Institute of Dental and Craniofacial Research, National Institute of Arthritis, Musculoskeletal and Skin Diseases, National Heart, Lung, and Blood Institute, and Sjögren’s Foundation.
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