A risk assessment model for the identification of hospitalized medical patients at risk for venous thromboembolism: the Padua Prediction Score

By S. Barbar, F. Noventa, V. Rossetto, A. Ferrari, B. Brandolin, Marica Perlati, E. Bon, D. Tormene, A. Pagnan, P. Prandoni. Journal of Thrombosis and Haemostasis, 2010

1,136 citations recorded by the source corpus.

Subfields: Hematology, Internal Medicine, Surgery

View Paper: https://www.semanticscholar.org/paper/6fd0bb141b246a3b8be03b55479c9f3dff9bcdf4

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Hematology

1. M. Cushman
2. S. Konstantinides

In Internal Medicine

1. M. Cushman
2. Samuel Z. Goldhaber
3. S. Konstantinides

In Surgery

1. M. Cushman
2. Joshua A. Beckman

Citations in the corpus

• COVID-19 and Thrombotic or Thromboembolic Disease: Implications for Prevention, Antithrombotic Therapy, and Follow-Up (2020, background): “the C aprini, IMPROVE, and Padua models) (55-60).”