Tutorial: dos and don’ts in clinical prediction research for venous thromboembolism

IF 3.4 3区 医学 Q2 HEMATOLOGY
Banne Nemeth , Mark J.R. Smeets , Suzanne C. Cannegieter , Maarten van Smeden
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引用次数: 0

Abstract

Clinical prediction modeling has become an increasingly popular domain of venous thromboembolism research in recent years. Prediction models can help healthcare providers make decisions regarding starting or withholding therapeutic interventions, or referrals for further diagnostic workup, and can form a basis for risk stratification in clinical trials. The aim of the current guide is to assist in the practical application of complicated methodological requirements for well-performed prediction research by presenting key dos and don’ts while expanding the understanding of predictive research in general for (clinical) researchers who are not specifically trained in the topic; throughout we will use prognostic venous thromboembolism scores as an exemplar.

教程:静脉血栓栓塞临床预测研究的注意事项
近年来,临床预测建模已成为静脉血栓栓塞研究中一个日益热门的领域。预测模型可以帮助医疗服务提供者决定是否开始或暂停治疗干预措施,或转诊进行进一步诊断工作,并可作为临床试验中风险分层的基础。本指南的目的是通过介绍关键的 "应做 "和 "不应做 "事项,帮助实际应用复杂的方法论要求,以顺利开展预测研究,同时扩大未接受过相关专门培训的(临床)研究人员对一般预测研究的了解;在整个过程中,我们将以静脉血栓栓塞症预后评分为例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
5.60
自引率
13.00%
发文量
212
审稿时长
7 weeks
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