Nemeth Banne, Smeets Mark J R, Cannegieter Suzanne C, van Smeden Maarten
Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands.
Department of Thrombosis and Hemostasis, Leiden University Medical Center, Leiden, the Netherlands.
Res Pract Thromb Haemost. 2024 Jun 18;8(4):102480. doi: 10.1016/j.rpth.2024.102480. eCollection 2024 May.
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.
近年来，临床预测模型已成为静脉血栓栓塞研究中越来越受欢迎的领域。预测模型可以帮助医疗保健提供者做出关于开始或停止治疗干预、或转诊进行进一步诊断检查的决策，并可为临床试验中的风险分层奠定基础。本指南的目的是通过介绍关键的注意事项，协助将复杂的方法学要求实际应用于高质量的预测研究，同时扩大对预测研究的总体理解，面向那些未接受过该主题专门培训的（临床）研究人员；在整个过程中，我们将使用静脉血栓栓塞预后评分作为示例。
