{"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":1,"journal":{"name":"Accounts of Chemical Research","volume":null,"pages":null},"PeriodicalIF":16.4000,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Accounts of Chemical Research","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1097/SPC.0000000000000643","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/4/6 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","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：
Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance.
Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.
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