biostudies-literaturede Vries EMWellcome Trust1864-1869https://www.ebi.ac.uk/biostudies/studies/S-EPMC6145288biostudies-literatureUnknown67(10)<h4>Objective</h4>Most prognostic models for primary sclerosing cholangitis (PSC) are based on patients referred to tertiary care and may not be applicable for the majority of patients with PSC. The aim of this study was to construct and externally validate a novel, broadly applicable prognostic model for transplant-free survival in PSC, based on a large, predominantly population-based cohort using readily available variables.<h4>Design</h4>The derivation cohort consisted of 692 patients with PSC from the Netherlands, the validation cohort of 264 patients with PSC from the UK. Retrospectively, clinical and biochemical variables were collected. We derived the prognostic index from a multivariable Cox regression model in which predictors were selected and parameters were estimated using the GutA novel prognostic model for transplant-free survival in primary sclerosing cholangitis.PMC6145288200154/Z/15/ZWeersma RKLeeflang MMChapman RWde Vries EMGeskus RBBoonstra KBeuers UWilliamson KDPonsioen CYWang JfalseA novel prognostic model for transplant-free survival in primary sclerosing cholangitis.<h4>Objective</h4>Most prognostic models for primary sclerosing cholangitis (PSC) are based on patients referred to tertiary care and may not be applicable for the majority of patients with PSC. The aim of this study was to construct and externally validate a novel, broadly applicable prognostic model for transplant-free survival in PSC, based on a large, predominantly population-based cohort using readily available variables.<h4>Design</h4>The derivation cohort consisted of 692 patients with PSC from the Netherlands, the validation cohort of 264 patients with PSC from the UK. Retrospectively, clinical and biochemical variables were collected. We derived the prognostic index from a multivariable Cox regression model in which predictors were selected and parameters were estimated using the 2018-01-01T00:00:00Z2018 Oct2026-06-17T07:05:33.776Z2026-06-17T03:10:16.417ZS-EPMC61452882873958110.1136/gutjnl-2016-313681