Clinical prediction model for prognosis in kidney transplant recipients (KIDMO): study protocol
Clinical prediction model for prognosis in kidney transplant recipients (KIDMO): study protocol
About this item
Full title
Author / Creator
Swiss Transplant Cohort Study , Swisstransplant Kidney Working Group (STAN) , the Swisstransplant Kidney Working Group (STAN) , the Swiss Transplant Cohort Study , Schwab, Simon , Sidler, Daniel , Haidar, Fadi , Kuhn, Christian , Schaub, Stefan , Koller, Michael , Mellac, Katell , Stürzinger, Ueli , Tischhauser, Bruno , Binet, Isabelle , Golshayan, Déla , Müller, Thomas , Elmer, Andreas , Franscini, Nicola , Krügel, Nathalie , Fehr, Thomas and Immer, Franz
Publisher
England: Springer
Journal title
Language
English
Formats
Publication information
Publisher
England: Springer
Subjects
More information
Scope and Contents
Contents
Many potential prognostic factors for predicting kidney transplantation outcomes have been identified. However, in Switzerland, no widely accepted prognostic model or risk score for transplantation outcomes is being routinely used in clinical practice yet. We aim to develop three prediction models for the prognosis of graft survival, quality of lif...
Alternative Titles
Full title
Clinical prediction model for prognosis in kidney transplant recipients (KIDMO): study protocol
Authors, Artists and Contributors
Author / Creator
Swisstransplant Kidney Working Group (STAN)
the Swisstransplant Kidney Working Group (STAN)
the Swiss Transplant Cohort Study
Schwab, Simon
Sidler, Daniel
Haidar, Fadi
Kuhn, Christian
Schaub, Stefan
Koller, Michael
Mellac, Katell
Stürzinger, Ueli
Tischhauser, Bruno
Binet, Isabelle
Golshayan, Déla
Müller, Thomas
Elmer, Andreas
Franscini, Nicola
Krügel, Nathalie
Fehr, Thomas
Immer, Franz
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_42f3e3141afc40f5996ec1dea1143359
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_42f3e3141afc40f5996ec1dea1143359
Other Identifiers
ISSN
2397-7523
E-ISSN
2397-7523
DOI
10.1186/s41512-022-00139-5
