Title |
Cost evaluation of cardiovascular magnetic resonance versus coronary angiography for the diagnostic work-up of coronary artery disease: Application of the European Cardiovascular Magnetic Resonance registry data to the German, United Kingdom, Swiss, and United States health care systems
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Published in |
Critical Reviews in Diagnostic Imaging, June 2012
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DOI | 10.1186/1532-429x-14-35 |
Pubmed ID | |
Authors |
Karine Moschetti, Stefano Muzzarelli, Christophe Pinget, Anja Wagner, Günther Pilz, Jean-Blaise Wasserfallen, Jeanette Schulz-Menger, Detle Nothnagel, Torsten Dill, Herbert Frank, Massimo Lombardi, Oliver Bruder, Heiko Mahrholdt, Jürg Schwitter |
Abstract |
Cardiovascular magnetic resonance (CMR) has favorable characteristics for diagnostic evaluation and risk stratification of patients with known or suspected CAD. CMR utilization in CAD detection is growing fast. However, data on its cost-effectiveness are scarce. The goal of this study is to compare the costs of two strategies for detection of significant coronary artery stenoses in patients with suspected coronary artery disease (CAD): 1) Performing CMR first to assess myocardial ischemia and/or infarct scar before referring positive patients (defined as presence of ischemia and/or infarct scar to coronary angiography (CXA) versus 2) a hypothetical CXA performed in all patients as a single test to detect CAD. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 1% |
Germany | 1 | 1% |
Switzerland | 1 | 1% |
Unknown | 76 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 18 | 23% |
Other | 11 | 14% |
Researcher | 9 | 11% |
Student > Bachelor | 7 | 9% |
Student > Master | 7 | 9% |
Other | 17 | 22% |
Unknown | 10 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 32 | 41% |
Engineering | 5 | 6% |
Psychology | 4 | 5% |
Nursing and Health Professions | 3 | 4% |
Agricultural and Biological Sciences | 3 | 4% |
Other | 14 | 18% |
Unknown | 18 | 23% |