Javier Soto Alsar , Roberto Jiménez Rodríguez , Ana Gutiérrez , Laura Ortega Morán , Andrés J. Muñoz Martín
{"title":"Update in venous thromboembolism in cancer: Lessons from multi-centre registries","authors":"Javier Soto Alsar , Roberto Jiménez Rodríguez , Ana Gutiérrez , Laura Ortega Morán , Andrés J. Muñoz Martín","doi":"10.1016/j.tru.2024.100183","DOIUrl":null,"url":null,"abstract":"<div><p>Cancer-associated thrombosis is a common problem in cancer patients and one of the leading causes of death in this population. Randomised clinical trials have shown that both low-molecular-weight heparins and direct oral anticoagulants are the treatments of choice for cancer-associated thrombosis. Despite this, small sample sizes, poor representation of some patient subgroups and lack of information about real-world clinical situations are some of the limitations of randomised trials. To overcome these problems, registries have been established to collect real-world data from patients with cancer-associated thrombosis, offering new evidence and information to supplement the findings of randomised clinical trials. However, few registries have focused exclusively on cancer patients, and some have excluded various subgroups of patients. Additionally, data collection and processing are another major challenge in analysing registry results, where the emergence of artificial intelligence will play a fundamental role.</p></div>","PeriodicalId":34401,"journal":{"name":"Thrombosis Update","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666572724000257/pdfft?md5=4ba7087b1901b77ce711ff2009d4609c&pid=1-s2.0-S2666572724000257-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Thrombosis Update","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666572724000257","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0
Abstract
Cancer-associated thrombosis is a common problem in cancer patients and one of the leading causes of death in this population. Randomised clinical trials have shown that both low-molecular-weight heparins and direct oral anticoagulants are the treatments of choice for cancer-associated thrombosis. Despite this, small sample sizes, poor representation of some patient subgroups and lack of information about real-world clinical situations are some of the limitations of randomised trials. To overcome these problems, registries have been established to collect real-world data from patients with cancer-associated thrombosis, offering new evidence and information to supplement the findings of randomised clinical trials. However, few registries have focused exclusively on cancer patients, and some have excluded various subgroups of patients. Additionally, data collection and processing are another major challenge in analysing registry results, where the emergence of artificial intelligence will play a fundamental role.