Primary Sclerosing Cholangitis Risk Estimate Tool (PREsTo) Predicts Outcomes of the Disease: A Derivation and Validation Study Using Machine Learning-Reference-Cited by-同舟云学术

Primary Sclerosing Cholangitis Risk Estimate Tool (PREsTo) Predicts Outcomes of the Disease: A Derivation and Validation Study Using Machine Learning

Published:2020-01 Issue:1 Volume:71 Page:214-224
ISSN:0270-9139
Container-title:Hepatology
language:en
Short-container-title:Hepatology

Author:

Eaton John E.¹,Vesterhus Mette²³,McCauley Bryan M.⁴,Atkinson Elizabeth J.⁴,Schlicht Erik M.¹,Juran Brian D.¹,Gossard Andrea A.¹,LaRusso Nicholas F.¹,Gores Gregory J.¹,Karlsen Tom H.²,Lazaridis Konstantinos N.¹

Affiliation:

1. Division of Gastroenterology & Hepatology Mayo Clinic Rochester MN

2. Norwegian PSC Research Center Division of Surgery, Inflammatory Medicine and Transplantation Oslo University Hospital Rikshospitalet Oslo Norway

3. National Centre for Ultrasound in Gastroenterology, Haukeland University Hospital Bergen Norway

4. Division of Biomedical Statistics and Informatics Mayo Clinic Rochester MN

Funder

National Institutes of Health

Catharine Nicole Jockisch Carlos Endowment in PSC

Publisher

Wiley

Subject

Hepatology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/hep.30085

Reference40 articles.

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3. Performance of magnetic resonance elastography in primary sclerosing cholangitis

4. Alkaline phosphatase normalization is a biomarker of improved survival in primary sclerosing cholangitis;Hilscher M;Ann Hepatol,2016

5. Alkaline phosphatase at diagnosis of primary sclerosing cholangitis and 1 year later: evaluation of prognostic value

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