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Using Autoantibodies and Cutaneous Subset to Develop Outcome-Based Disease Classification in Systemic Sclerosis.

Svetlana I NihtyanovaAlper SariJennifer C HarveyAnna LeslieEmma C Derrett-SmithCarmen FonsecaVoon H OngChristopher P Denton
Published in: Arthritis & rheumatology (Hoboken, N.J.) (2020)
These findings highlight the importance of autoantibodies, cutaneous subset, and disease duration when assessing morbidity and mortality in patients with SSc. Our novel classification scheme may improve disease monitoring and benefit future clinical trial designs in SSc.
Keyphrases
  • systemic sclerosis
  • clinical trial
  • machine learning
  • interstitial lung disease
  • systemic lupus erythematosus
  • deep learning
  • randomized controlled trial
  • study protocol
  • phase ii