Identifying breast cancer recurrence in administrative data: algorithm development and validation

HIGHLIGHTS

  • who: Claire M. B. Holloway et al. from the Department of Surgery, University of Toronto, College Street, Toronto, ON M T , Canada have published the article: Identifying Breast Cancer Recurrence in Administrative Data: Algorithm Development and Validation, in the Journal: (JOURNAL) of 31/Dec/2012
  • what: Assuming recurrence rates of 2%, 7.7%, and 20% for stage I, II, and III patients, respectively, the authors aimed to be able to detect an algorithm sensitivity of 75%, 85%, and 90% for stages I, II and III, and specificity of 99%, 95%, and 90% for stages I . . .

     

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