title: Primary biliary cirrhosis: an electronic diagnostic tool trial based on symptoms, (past) history and signs only, using the European database euricterus. The Euricterus PMG.
abstract: OBJECTIVE
  Primary Biliary Cirrhosis (PBC) is a relatively rare chronic progressive disease in which a working diagnosis of PBC easily leads to a final diagnosis by testing for anti-mitochondrial antibodies. Liver transplantation is the only effective treatment. The aim of this study was to test an electronic diagnostic tool (tool) for it's ability to include PBC in the working differential diagnosis.
  
  
  METHODS
  In the European Union Euricterus project a large number of (sub)icteric patients in 17 discrete disease categories, PBC being one of them, were gathered prospectively. A tool was developed-using Bayes (B) and Trial Algorithm (TA) pattern-recognition and based on items related to the history, symptoms and signs of all Euricterus patients. We have tested the diagnostic tool on 143 PBC Euricterus patients.
  
  
  RESULTS
  PBC was mentioned by the tool in 86% (B) and 91% (TA) of the 143 patients. These figures were higher for patients under 60 and (TA only) females. Females under 60 (n = 89) scored 92% B and 96% TA. A sole diagnosis of PBC was made in 31% (B) and 66% (TA). In the other patients with a PBC probability, 7 other (first) diagnoses were presented by the tool of which non-alcoholic active liver disease and pancreatic or biliary carcinoma were the leaders. These 7 diseases appeared evenly distributed along the percentual probabilities of PBC given by the tool (B) and also along Pugh and Mayo scores (B and TA). PBC was mentioned by the tool in all patients with a Pugh score 10 or higher (advanced disease, class C). In the patients in whom the tool did not mention PBC, the primary diagnoses came from 9 other disease categories.
  
  
  CONCLUSIONS
  This electronic tool has been able to identify PBC as one of the differential diagnostic modalities in the large majority of a present population of PBC patients.
authors.affiliation: International School of Hepatology and Tropical Medicine GISH-T, Faculty of Medical Sciences, State University Groningen, The Netherlands. Y.Reisman@med.rug.nl
authors.forename: Y
authors.initials: Y
authors.lastname: Reisman
authors.forename: C H
authors.initials: CH
authors.lastname: Gips
authors.forename: S M
authors.initials: SM
authors.lastname: Lavelle
mesh_terms: D000465:Algorithms; D016208:Databases, Factual; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D003937:Diagnosis, Differential; D005060:Europe; D005260:Female; D006801:Humans; D008105:Liver Cirrhosis, Biliary / Q000175:diagnosis* / Q000209:etiology; D008297:Male; D008875:Middle Aged; D011336:Probability; D011379:Prognosis; D012720:Severity of Illness Index