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

OBJECTIVES This study aimed to evaluate the optimal risk assessment model (RAM) to
stratify the risk of venous thromboembolism (VTE) in hospitalized patients with cancer. We …

Important progress has been made in the development of risk assessment models (RAM) for
the identification of outpatients on anticancer treatment at risk of venous thromboembolism …

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

Introduction: Khorana score (KS) stratifies patients into low, intermediate, and high risk
groups for venous thromboembolism (VTE). We examined the generalizability of the KS to …

Abstract Background The Khorana score is a validated tool to identify cancer patients at
higher risk of venous thromboembolism (VTE). Objective We compared its predictive …

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

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

We aimed to evaluate the performance of the Khorana score in predicting venous
thromboembolic events in ambulatory cancer patients. Embase and MEDLINE were …

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