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Genders, Tessa S. S.; Steyerberg, Ewout W.; Hunink, M. G. Myriam; Nieman, Koen; Galema, Tjebbe W.; Mollet, Nico R.; de Feyter, Pim J.; Krestin, Gabriel P.; Alkadhi, Hatem; Leschka, Sebastian; Desbiolles, Lotus; Meijs, Matthijs F. L.; Cramer, Maarten J.; Knuuti, Juhani; Kajander, Sami; Bogaert, Jan; Goetschalckx, Kaatje; Cademartiri, Filippo; Maffei, Erica; Martini, Chiara; Seitun, Sara; Aldrovandi, Annachiara; Wildermuth, Simon; Stinn, Björn; Fornaro, Jürgen; Feuchtner, Gudrun; De Zordo, Tobias; Auer, Thomas; Plank, Fabian; Friedrich, Guy; Pugliese, Francesca; Petersen, Steffen E.; Davies, L. Ceri; Schoepf, U. Joseph; Rowe, Garrett W.; van Mieghem, Carlos A. G.; van Driessche, Luc; Sinitsyn, Valentin; Gopalan, Deepa; Nikolaou, Konstantin; Bamberg, Fabian; Cury, Ricardo C.; Battle, Juan; Maurovich-Horvat, Pál; Bartykowszki, Andrea; Merkely, Bela; Becker, Dávid; Hadamitzky, Martin; Hausleiter, Jörg; Dewey, Marc; Zimmermann, Elke; Laule, Michael (2012): Prediction model to estimate presence of coronary artery disease: retrospective pooled analysis of existing cohorts. In: BMJ (Clinical research ed.), Vol. 344, e3485: S. 1-13
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Abstract

To develop prediction models that better estimate the pretest probability of coronary artery disease in low prevalence populations.