Pancreas Transplantation Outcome Predictions-PTOP: A Risk Prediction Tool for Pancreas and Pancreas-Kidney Transplants Based on a European Cohort.

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Title: Pancreas Transplantation Outcome Predictions-PTOP: A Risk Prediction Tool for Pancreas and Pancreas-Kidney Transplants Based on a European Cohort.
Authors: Miller G; Department of Surgery, Technical University of Munich (TUM), TUM School of Medicine and Health, TUM - Munich Transplant Center, Klinikum rechts der Isar, Munich, Germany.; Technical University of Munich (TUM), TUM School of Computation, Information and Technology, Garching, Germany.; Core Facility Statistical Consulting, Helmholtz Munich, Neuherberg, Germany., Ankerst DP; Technical University of Munich (TUM), TUM School of Computation, Information and Technology, Garching, Germany., Kattan MW; Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, OH., Hüser N; Department of Surgery, Technical University of Munich (TUM), TUM School of Medicine and Health, TUM - Munich Transplant Center, Klinikum rechts der Isar, Munich, Germany., Stocker F; Department of Surgery, Technical University of Munich (TUM), TUM School of Medicine and Health, TUM - Munich Transplant Center, Klinikum rechts der Isar, Munich, Germany., Vogelaar S; Eurotransplant International Foundation, Leiden, The Netherlands., van Bruchem M; Eurotransplant International Foundation, Leiden, The Netherlands., Assfalg V; Department of Surgery, Technical University of Munich (TUM), TUM School of Medicine and Health, TUM - Munich Transplant Center, Klinikum rechts der Isar, Munich, Germany.
Source: Transplantation direct [Transplant Direct] 2024 May 15; Vol. 10 (6), pp. e1632. Date of Electronic Publication: 2024 May 15 (Print Publication: 2024).
Publication Type: Journal Article
Journal Info: Publisher: Wolters Kluwer Country of Publication: United States NLM ID: 101651609 Publication Model: eCollection Cited Medium: Print ISSN: 2373-8731 (Print) Linking ISSN: 23738731 NLM ISO Abbreviation: Transplant Direct Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2373-8731
DOI:10.1097/TXD.0000000000001632