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Invited Commentary
January 2017

Can We Improve Mortality Estimation in Women After Treadmill Testing by Using Sex-Specific Scores?

Author Affiliations
  • 1Division of Cardiology, Kaiser Permanente San Jose, San Jose, California
  • 2Department of Epidemiology and Biostatistics, University of California, San Francisco
  • 3Sports Cardiology Clinic, Stanford Health Care Organization, Stanford, California
  • 4Center for Inherited Cardiovascular Disease, Stanford University, Stanford, California
  • 5Department of Cardiovascular Medicine, Stanford University, Stanford, California
JAMA Cardiol. 2017;2(1):22-24. doi:10.1001/jamacardio.2016.3687

The use of predictive analytics in modern cardiology has had a significant impact in decreasing the subjectivity of forecasting cardiovascular events. The abundance of currently available clinical prediction models (CPMs) has been demonstrated by a recent systematic review.1 This review unearthed 796 scientific articles on the topic of CPMs and cardiovascular disease published from 1990 to 2012, with 90% being novel and the remainder recalibration or other adaptations of prior CPMs. Although utilization of CPMs is currently low, it promises to decrease use of the routine subjective eyeball test.2

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