Litcius/Paper detail

In Search of the Appropriate Anticoagulant-Associated Bleeding Risk Assessment Model for Cancer-Associated Thrombosis Patients

Géraldine Poénou, Emmanuel Tolédano, H. L. Helfer, L. Plaisance, Florent Happe, E. Versini, Nevine Diab, Sadji Djennaoui, Isabelle Mahé

2022Cancers21 citationsDOIOpen Access PDF

Abstract

Patients with venous thromboembolism events (VTE) in the context of cancer should receive anticoagulants as long as the cancer is active. Therefore, a tailor-made anticoagulation strategy should rely on an individualized risk assessment model (RAM) of recurrent VTE and anticoagulant-associated bleeding. The aim of this review is to investigate the applicability of the currently available RAMs for anticoagulant-associated bleeding after VTE in the CAT population and to provide new insights on how we can succeed in developing a new anticoagulant-associated bleeding RAM for the current medical care of CAT patients. A systematic search for peer-reviewed publications was performed in PubMed. Studies, including systematic reviews, were eligible if they comprised patients with VTE and used a design for developing a prediction model, score, or other prognostic tools for anticoagulant-associated bleeding during anticoagulant treatment. Out of 15 RAMs, just the CAT-BLEED was developed for CAT patients and none of the presented RAMs developed for the VTE general population were externally validated in a population of CAT patients. The current review illustrates the limitations of the available RAMs for anticoagulant-associated bleeding in CAT patients. The development of a RAM for bleeding risk assessment in patients with CAT is warranted.

Topics & Concepts

MedicineAnticoagulantBleedThrombosisIntensive care medicineContext (archaeology)PopulationRisk assessmentAnticoagulant drugVenous thromboembolismSurgeryBiologyComputer scienceComputer securityPaleontologyEnvironmental healthVenous Thromboembolism Diagnosis and ManagementAtrial Fibrillation Management and OutcomesAcute Myocardial Infarction Research