title: Risk prediction tools in surgical oncology.
abstract: Healthcare has increasingly focused on patient engagement and shared decision-making. Decision aids can promote engagement and shared decision making by providing patients and their providers with care options and outcomes. This article discusses decision aids for surgical oncology patients. Topics include: short-term risk prediction following surgery, long-term risk prediction of survival and recurrence, the combination of short- and long-term risk prediction to help guide treatment choice, and decision aid usability, transparency, and accessibility.
authors: Department of Surgery, Surgical Outcomes and Quality Improvement Center, Feinberg School of Medicine, Northwestern University, Chicago, Illinois; Department of Surgery, Massachusetts General Hospital, Boston, Massachusetts.
authors: Christine V
authors: CV
authors: Kinnier
authors: Elliot A
authors: EA
authors: Asare
authors: Sanjay
authors: S
authors: Mohanty
authors: Jennifer L
authors: JL
authors: Paruch
authors: Ravi
authors: R
authors: Rajaram
authors: Karl Y
authors: KY
authors: Bilimoria
mesh_terms: D003661:Decision Support Techniques; D057220:Health Literacy; D006801:Humans; D009369:Neoplasms / Q000188:drug therapy / Q000601:surgery*; D049451:Nomograms; D018802:Patient-Centered Care; D018570:Risk Assessment
keywords: decision support techniques; health literacy; nomograms; patient-centered care