Cancer patients are at higher risk for venous thromboembolism (VTE). Several risk
assessment models (RAM), including the Khorana and COMPASS-CAT, were developed to …

The aim of the study was to investigate the prognostic significance of selected risk
assessment models (RAMs) for predicting venous thromboembolism (VTE) events in …

Background Oncology guidelines suggest using the Khorana score to select ambulatory
cancer patients receiving chemotherapy for primary venous thromboembolism (VTE) …

Simple Summary The predictive value of existing venous thromboembolism risk assessment
models (RAMs) in lung cancer patients is still debated, and the design of new models …

Management of cancer-associated venous thromboembolism (VTE) is essential in treatment
selection and cancer prognosis. However, to date, there is no method to assess the risk of …

Purpose Assessment of individual VTE risk in cancer patients prior to chemotherapy is
critical for determining necessity of interventions. Risk assessment models (RAM) are …

Background Current risk assessment models (RAMs) for prediction of venous
thromboembolism (VTE) risk in the outpatient cancer population have shown poor predictive …

Background The Khorana score was developed to predict the risk of venous
thromboembolism (VTE) in cancer patients receiving chemotherapy. However, the utility of …

Abstract Background Risk assessment models (RAMs) are relevant approaches to identify
cancer outpatients at high risk of venous thromboembolism (VTE). Among the proposed …

Cancer patients with venous thromboembolism (VTE) are prone to poor prognoses. Thus,
we aimed to develop a nomogram to predict the risk of VTE in these patients. We …