癌症静脉血栓栓塞症的最新进展:多中心登记的经验教训

Q4 Medicine Thrombosis Update Pub Date : 2024-07-08 DOI:10.1016/j.tru.2024.100183
Javier Soto Alsar , Roberto Jiménez Rodríguez , Ana Gutiérrez , Laura Ortega Morán , Andrés J. Muñoz Martín
{"title":"癌症静脉血栓栓塞症的最新进展:多中心登记的经验教训","authors":"Javier Soto Alsar ,&nbsp;Roberto Jiménez Rodríguez ,&nbsp;Ana Gutiérrez ,&nbsp;Laura Ortega Morán ,&nbsp;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":"{\"title\":\"Update in venous thromboembolism in cancer: Lessons from multi-centre registries\",\"authors\":\"Javier Soto Alsar ,&nbsp;Roberto Jiménez Rodríguez ,&nbsp;Ana Gutiérrez ,&nbsp;Laura Ortega Morán ,&nbsp;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}","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

摘要

癌症相关血栓是癌症患者的常见问题,也是导致癌症患者死亡的主要原因之一。随机临床试验表明,低分子量肝素和直接口服抗凝剂是治疗癌症相关性血栓的首选药物。尽管如此,样本量小、某些患者亚群代表性差以及缺乏真实临床情况的信息是随机试验的一些局限性。为了克服这些问题,人们建立了登记处来收集癌症相关血栓患者的真实世界数据,为补充随机临床试验结果提供新的证据和信息。然而,很少有登记处专门针对癌症患者,有些登记处还排除了不同亚组的患者。此外,数据收集和处理是分析登记结果的另一大挑战,而人工智能的出现将在这方面发挥重要作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Update in venous thromboembolism in cancer: Lessons from multi-centre registries

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.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Thrombosis Update
Thrombosis Update Medicine-Hematology
CiteScore
1.90
自引率
0.00%
发文量
33
审稿时长
86 days
期刊最新文献
Tissue factor (F3) gene variants and thrombotic risk among middle-aged and older adults: A population-based cohort study Catheter – related thrombosis in cancer patients: Data from the registry of thrombosis and nEoplasia of SEOM (TESEO) Usability study of the qLabs® FIB: A new point-of-care system for functional fibrinogen testing Nitrous oxide and VTE – no laughing matter Practical model for implementation of cancer-associated thrombosis prevention in the outpatient setting
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1