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 …

In ambulatory patients with solid cancer, routine thromboprophylaxis to prevent venous
thromboembolism is not recommended. Several risk prediction scores to identify cancer …

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

The long-term performance of prediction scores for venous thromboembolism (VTE) in
cancer patients has been poorly investigated. We evaluated the discriminatory performance …

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 …

Venous thromboembolism (VTE) is a commonly encountered problem in patients with
cancer. In recent years, cancer treatment paradigm has shifted with most therapy offered in …

Background The stratification of outpatients on chemotherapy for breast, colorectal, lung,
and ovarian cancers at risk of venous thromboembolism (VTE) remains an unmet clinical …

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

Venous thromboembolism (VTE) is a preventable disease, thus, in a number of clinical
situations primary thromboprophylaxis has been proposed. Although we now know that …

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