{"title":"Survival prediction in advanced cancer patients - a narrative review.","authors":"Shing Fung Lee, Charles B Simone","doi":"10.1097/SPC.0000000000000643","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose of review: </strong>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.</p><p><strong>Recent findings: </strong>Recent studies show notable prognostication approaches using genetic tests and advanced computation methods such as machine learning, which we will summarize.</p><p><strong>Summary: </strong>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.</p>","PeriodicalId":48837,"journal":{"name":"Current Opinion in Supportive and Palliative Care","volume":"17 2","pages":"105-112"},"PeriodicalIF":1.9000,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current Opinion in Supportive and Palliative Care","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1097/SPC.0000000000000643","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/4/6 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
引用次数: 0
Abstract
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.
期刊介绍：
A reader-friendly resource, Current Opinion in Supportive and Palliative Care provides an up-to-date account of the most important advances in the field of supportive and palliative care. Each issue contains either two or three sections delivering a diverse and comprehensive coverage of all the key issues, including end-of-life management, gastrointestinal systems and respiratory problems. Current Opinion in Supportive and Palliative Care is an indispensable journal for the busy clinician, researcher or student.
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