The Florida Scoring System for stratifying children with suspected Sjögren's disease: a cross-sectional machine learning study-Reference-Cited by-同舟云学术

The Florida Scoring System for stratifying children with suspected Sjögren's disease: a cross-sectional machine learning study

Published:2024-05 Issue:5 Volume:6 Page:e279-e290
ISSN:2665-9913
Container-title:The Lancet Rheumatology
language:en
Short-container-title:The Lancet Rheumatology

Author:

Zeng Wenjie,Thatayatikom Akaluck,Winn Nicole,Lovelace Tyler C,Bhattacharyya Indraneel,Schrepfer Thomas,Shah Ankit,Gonik Renato,Benos Panayiotis V,Cha Seunghee

Funder

National Institute of Arthritis and Musculoskeletal and Skin Diseases

U.S. National Library of Medicine

National Institute of Dental and Craniofacial Research

Sjogren's Foundation Inc

Research to Prevent Blindness

NIH

National Heart, Lung, and Blood Institute

Publisher

Elsevier BV

Reference36 articles.

1. Clinical manifestations and early diagnosis of Sjögren syndrome;Kassan;Arch Intern Med,2004

2. Childhood-onset of primary Sjögren's syndrome: phenotypic characterization at diagnosis of 158 children;Ramos-Casals;Rheumatology (Oxford),2021

3. Barriers to translational research in Sjögren's syndrome with childhood onset: challenges of recognising and diagnosing an orphan rheumatic disease;Ciurtin;Lancet Rheumatol,2021

4. Features of childhood Sjögren's syndrome in comparison to adult Sjögren's syndrome: considerations in establishing child-specific diagnostic criteria;Yokogawa;Clin Exp Rheumatol,2016

5. A systematic review of primary Sjögren's syndrome in male and paediatric populations;Virdee;Clin Rheumatol,2017

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1. A new tool for stratifying children with suspected Sjögren's disease;The Lancet Rheumatology;2024-05