Low diagnostic yield of elective coronary angiography.

By G. Diamond, S. Kaul. New England Journal of Medicine, 2010

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Machine learning for prediction of all-cause mortality in patients with suspected coronary artery disease: a 5-year multicentre prospective registry analysis (2016, methodology): “Prior large-scale studies have documented the inadequacies of current limited-variable methods for prediction of disease prevalence, severity, and prognosis; and highlight the need for more accurate methods to perform these important clinical tasks.(27) – 29 As observed in other fields that require ”
Diagnostic performance of noninvasive fractional flow reserve derived from coronary computed tomography angiography in suspected coronary artery disease: the NXT trial (Analysis of Coronary Blood Flow Using CT Angiography: Next Steps). (2014, background): “As a result of inadequate diagnostic discrimination with the use of noninvasive tests, up to 60% of subjects suspected of having CAD and referred for ICA do not have obstructive vessel narrowing (6), and the proportion without functionally significant myocardial ischemia would be expected to be even”
International standardization of diagnostic criteria for microvascular angina. (2018, background): “us, Department of Cardiology, (b50% stenosis) coronary artery disease (CAD) [1].”