Ninety-day mortality rates after esophagectomy are an indicator of the quality of surgical oncologic management. Accurate risk prediction based on large data sets may aid patients and surgeons in making informed decisions.
Risk Prediction Model of 90-Day Mortality After Esophagectomy for Cancer / D'Journo, Xavier Benoit; Boulate, David; Fourdrain, Alex; Loundou, Anderson; van Berge Henegouwen, Mark I; Gisbertz, Suzanne S; O'Neill, J Robert; Hoelscher, Arnulf; Piessen, Guillaume; van Lanschot, Jan; Wijnhoven, Bas; Jobe, Blair; Davies, Andrew; Schneider, Paul M; Pera, Manuel; Nilsson, Magnus; Nafteux, Philippe; Kitagawa, Yuko; Morse, Christopher R; Hofstetter, Wayne; Molena, Daniela; So, Jimmy Bok-Yan; Immanuel, Arul; Parsons, Simon L; Larsen, Michael Hareskov; Dolan, James P; Wood, Stephanie G; Maynard, Nick; Smithers, Mark; Puig, Sonia; Law, Simon; Wong, Ian; Kennedy, Andrew; Kangning, Wang; Reynolds, John V; Pramesh, C S; Ferguson, Mark; Darling, Gail; Schröder, Wolfgang; Bludau, Marc; Underwood, Tim; van Hillegersberg, Richard; Chang, Andrew; Cecconello, Ivan; Ribeiro, Ulysses; de Manzoni, Giovanni; Rosati, Riccardo; Puccetti, Francesco; Kuppusamy, Madhankumar; Thomas, Pascal Alexandre; Low, Donald E. - In: JAMA SURGERY. - ISSN 2168-6254. - 156:9(2021), pp. 836-845. [10.1001/jamasurg.2021.2376]
Risk Prediction Model of 90-Day Mortality After Esophagectomy for Cancer
Rosati, Riccardo;Puccetti, Francesco;
2021-01-01
Abstract
Ninety-day mortality rates after esophagectomy are an indicator of the quality of surgical oncologic management. Accurate risk prediction based on large data sets may aid patients and surgeons in making informed decisions.File | Dimensione | Formato | |
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