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

Banne Nemeth*, Mark J.R. Smeets, Suzanne C. Cannegieter, Maarten van Smeden

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

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.

Original languageEnglish
Article number102480
JournalResearch and practice in thrombosis and haemostasis
Volume8
Issue number4
DOIs
Publication statusPublished - May 2024

Keywords

  • methods
  • model development
  • prediction model
  • risk assessment
  • validation study
  • venous thromboembolism

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