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Editorials |

Gene Expression Algorithm for Prevalent Coronary Artery Disease: A First Step in a Long Journey

Donna K. Arnett, MSPH, PhD
[+] Article and Author Information

From University of Alabama at Birmingham, Birmingham, AL 35294.


Potential Conflicts of Interest: None disclosed. Forms can be viewed at www.acponline.org/authors/icmje/ConflictOfInterestForms.do?msNum=M10-2025.

Requests for Single Reprints: Donna K. Arnett, MSPH, PhD, Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, RPHB 220E, 1530 3rd Avenue South, Birmingham, AL 35294-0022; e-mail, arnett@uab.edu.


Ann Intern Med. 2010;153(7):473-474. doi:10.7326/0003-4819-153-7-201010050-00011
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In this issue, Rosenberg and colleagues report how they prospectively validated a gene expression–based algorithm for predicting prevalent CAD status in nondiabetic patients with suspected CAD in whom coronary angiography is clinically indicated. This editorial describes how there is too little information about the derivation of the algorithm for readers to determine whether the screening tool provides internally valid results and discusses why caution should be used in interpreting the report.

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