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

Tessa S.S. Genders , Ewout W. Steyerberg , M. G. Myriam Hunink , Tessa S.S. Genders , Ewout W. Steyerberg , M. G. Myriam Hunink , Koen Nieman , Tjebbe W. Galema , Nico R. Mollet , P. J. de Feyter , Gabriël P. Krestin , Hatem Alkadhi , Sebastian Leschka , L. Desbiolles , Matthijs F.L. Meijs , Maarten J. Cramer , Juhani Knuuti , Sami Kajander , Jan Bogaert , Kaatje Goetschalckx , Filippo Cademartiri , Erica Maffei , Chiara Martini , Sara Seitun , Annachiara Aldrovandi , Simon Wildermuth , Bjoern Stinn , Jürgen Fornaro , Gudrun Feuchtner , Tobias De Zordo , T. Auer , Fabian Plank , Guy Friedrich , Francesca Pugliese , Steffen E. Petersen , Ceri Davies , U. Joseph Schoepf , Garrett W. Rowe , Carlos A.G. van Mieghem , Luc Van Driessche , В. Е. Синицын , Deepa Gopalan , Konstantin Nikolaou , Fabian Bamberg , Roberto Caldeira Cury , Juan Battle , Pál Maurovich‐Horvat , Andrea Bartykowszki , B. Merkely , D. Becker , Martin Hadamitzky , Jörg Hausleiter , Marc Dewey , Elke Zimmermann , Michael Laule
2012 BMJ 303 citations

Abstract

Updated prediction models including age, sex, symptoms, and cardiovascular risk factors allow for accurate estimation of the pretest probability of coronary artery disease in low prevalence populations. Addition of coronary calcium scores to the prediction models improves the estimates.

Keywords

MedicineCoronary artery diseaseFractional flow reserveInternal medicineChest painCardiologyCoronary angiographyAngiographyRadiologyMyocardial infarction

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Publication Info

Year
2012
Type
article
Volume
344
Issue
jun12 1
Pages
e3485-e3485
Citations
303
Access
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Tessa S.S. Genders, Ewout W. Steyerberg, M. G. Myriam Hunink et al. (2012). Prediction model to estimate presence of coronary artery disease: retrospective pooled analysis of existing cohorts. BMJ , 344 (jun12 1) , e3485-e3485. https://doi.org/10.1136/bmj.e3485

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DOI
10.1136/bmj.e3485