M
Marc Schindewolf
Researcher at University of Bern
Publications - 83
Citations - 1155
Marc Schindewolf is an academic researcher from University of Bern. The author has contributed to research in topics: Medicine & Fondaparinux. The author has an hindex of 19, co-authored 70 publications receiving 983 citations. Previous affiliations of Marc Schindewolf include Goethe University Frankfurt.
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ETNA-VTE Europe: The Effect of Body Mass Index on 12-Month Outcomes in VTE Patients with Edoxaban
Marc Schindewolf,Bernd Brüggenjürgen,Cihan Ay,Philippe Hainaut,Ulrich Hoffmann,Sean Gaine,Michiel Coppens,David Jiménez,Pierre Levy,J. López Bastida,Eric Vicaut,Peter Bramlage,Giancarlo Agnelli,A.T. Cohen +13 more
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Catheter-Directed Thrombolysis for Postpartum Deep Venous Thrombosis
TL;DR: A non-exhaustive literature review was performed and the delicate management of a patient with postpartum acute iliofemoral thrombosis treated with CDT and endovascular revascularization with thromBectomy, balloon angioplasty and stenting was illustrated.
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Etiology, clinical course and treatment outcome of patients with inferior vena cava thrombosis
Birgit Linnemann,H. Schmidt,Marc Schindewolf,D. Zgouras,M. Erbe,R. Grossmann,Edelgard Lindhoff-Last +6 more
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Feasibility of stereotactic MRI-based image guidance for the treatment of vascular malformations: a phantom study
Marius Schwalbe,Axel Haine,Marc Schindewolf,Hendrik von Tengg-Kobligk,Tom Williamson,Stefan Weber,Iris Baumgartner,Torsten Fuss +7 more
TL;DR: This work presents an initial evaluation of a combined navigation fluoroscopy targeting technique in a phantom study, suggesting that, especially for inexperienced interventionalists, navigation may help to reduce the time and the radiation dose.
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Development of a 3-Dimensional Prognostic Score for Patients With Symptomatic Peripheral Artery Disease: PAD3D Score:
Jörn F. Dopheide,Hana Ramadani,Luise Adam,Brigitta Gahl,Lucija Papac,Jonas Veit,Mathias Kaspar,Marc Schindewolf,Iris Baumgartner,Heinz Drexel +9 more
TL;DR: An individual risk score (PAD3D) based on the combined predictive value for mortality, including age, severity of PAD, and extent of atherosclerosis is developed to allow for personalized goals in risk intervention.