| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 5598231 | Annals of Vascular Surgery | 2017 | 22 Pages |
Abstract
A prediction model based on commonly recorded clinical variables and early postoperative DU scan is accurate at identifying grafts which are at high risk of failure. These high-risk grafts may benefit from DU-based surveillance.
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Authors
Reza Mofidi, Olivia M.B. McBride, Barnabas R. Green, Tracey Gatenby, Paul Walker, Simon Milburn,