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Tutorial: dos and don'ts in clinical prediction research for venous thromboembolism.
Nemeth, Banne; Smeets, Mark J R; Cannegieter, Suzanne C; van Smeden, Maarten.
Afiliación
  • Nemeth B; Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands.
  • Smeets MJR; Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands.
  • Cannegieter SC; Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands.
  • van Smeden M; Department of Thrombosis and Hemostasis, Leiden University Medical Center, Leiden, the Netherlands.
Res Pract Thromb Haemost ; 8(4): 102480, 2024 May.
Article en En | MEDLINE | ID: mdl-39099799
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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Res Pract Thromb Haemost Año: 2024 Tipo del documento: Article País de afiliación: Países Bajos Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Res Pract Thromb Haemost Año: 2024 Tipo del documento: Article País de afiliación: Países Bajos Pais de publicación: Estados Unidos