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The standardisation of uveitis nomenclature (SUN) project.
Jabs, Douglas A; McCluskey, Peter; Palestine, Alan G; Thorne, Jennifer E.
Afiliação
  • Jabs DA; The Department of Epidemiology, Center for Clinical Trials and Evidence Synthesis, The Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
  • McCluskey P; Department of Ophthalmology, The Wilmer Eye Institute, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
  • Palestine AG; Save Sight Institute, Discipline of Ophthalmology, University of Sydney Faculty of Medicine and Health, Sydney, New South Wales, Australia.
  • Thorne JE; Department of Ophthalmology, The University of Colorado School of Medicine, Aurora, Colorado, USA.
Clin Exp Ophthalmol ; 2022 Sep 27.
Article em En | MEDLINE | ID: mdl-36164924
ABSTRACT
The uveitides are a collection of over 30 diseases characterised by intraocular inflammation. Previous work demonstrated that the agreement among uveitis experts on diagnosis was modest at best with some pairs of experts having chance alone agreement on selected diseases. The Standardisation of Uveitis Nomenclature (SUN) is a17-year collaboration among experts in uveitis, ocular image grading, informatics, and machine learning to improve clinical and translational uveitis research. The SUN "Developing Classification Criteria for the Uveitides" project used a rigorous, multi-phase approach to develop classification criteria for 25 of the most common uveitic diseases. The project's phases were (1) informatics; (2) case collection; (3) case selection; (4) machine learning; and (5) consensus review and publication. The results were classification criteria with a high degree of accuracy (93.3%-99.3% depending on anatomic class of the uveitis), the goal of which is to form the basis for future uveitis research.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Clin Exp Ophthalmol Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Clin Exp Ophthalmol Ano de publicação: 2022 Tipo de documento: Article