Purpose of review: The exploration for accurate ways to predict survival for advanced cancer patients continues to be a significant theme despite the advent of objective criteria and their combination with clinical criteria. The purpose of this article was to review some of the latest studies relating to prognostication and the capacity to predict survival during the terminal cancer stage.
Recent findings: Recent studies show notable prognostication approaches using genetic tests and advanced computation methods such as machine learning, which we will summarize.
Summary: Significant effort has been made to improve the accuracy of survival estimation for advanced cancer patients. The main goals are to optimize individualized patient management and uses of resources. Advanced techniques, including genetic markers and machine learning techniques, may improve the accuracy of prediction.
Copyright © 2023 Wolters Kluwer Health, Inc. All rights reserved.