Physician's working diagnosis compared to the Euricterus real life data diagnostic tool Trial in three jaundice databases : Euricterus Dutch, independent prospective and independent retrospective.
In the European Union Euricterus Project on (sub) Icterus proforma, the history and physical examination items were to be used for the physician's working diagnosis (PWD) and, among others, for the development of the real life data electronic diagnostic tool, Trial, Trial delivers diagnosis probabilities based on Bayes'Theorem (B), completed by Trial Algorithm (TA).
We wanted to compare the diagnostic accuracies (PWD and Trial probabilities as a percentage of the final diagnosis (FD) in a patient population) in 3 Dutch databases.
The inclusion criteria for both Euricterus and Trial were age =16 and bilirubin =20 mmol/l. Euricterus data gathering took place at the bedside on a proforma with (among other questions) 79 questions on history and physical examination as well as the diagnosis levels for the PWD (1 alternative possible) and FD (17 disease categories, dc).
Trial was developed on the data of 7,104 Euricterus patients and its data-entry Demo has the same questions.
It calculates the probability of each diagnosis of the 17 dc as a percentage, as each significant finding is encountered (BO, Bayesian Overall).
It can simultaneously calculate the resemblance of the patient's signs and symptoms to each disease concomitantly (BV, Bayesian Vertical), and to any subset of a disease.
Any probability is further tested for compatibility using TA, a subset of BV, delivering TA-PWD, TA-BO and TA-BV. (...)
Mots-clés Pascal : Ictère, Diagnostic, Etiologie, Etude comparative, Efficacité sélection, Médecin, Système aide décision, Résultat, Homme, Appareil digestif pathologie, Foie pathologie, Voie biliaire pathologie, Métabolisme pathologie, Informatique biomédicale
Mots-clés Pascal anglais : Jaundice, Diagnosis, Etiology, Comparative study, Selection efficiency, Physician, Decision support system, Result, Human, Digestive diseases, Hepatic disease, Biliary tract disease, Metabolic diseases, Biomedical data processing
Notice produite par :
Inist-CNRS - Institut de l'Information Scientifique et Technique
Cote : 98-0007458
Code Inist : 002B28C. Création : 17/04/1998.