Prediction model to estimate presence of coronary artery disease: retrospective pooled analysis of existing cohorts

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

Bibliographic Details
Main Authors:	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
Format:	Online
Language:	English
Published:	BMJ Publishing Group Ltd. 2012
Online Access:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3374026/

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