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Review
. 2011 Feb 8;123(5):551-65.
doi: 10.1161/CIRCULATIONAHA.109.912568.

Assessing the role of circulating, genetic, and imaging biomarkers in cardiovascular risk prediction

Thomas J Wang  1
Affiliations
Review

Assessing the role of circulating, genetic, and imaging biomarkers in cardiovascular risk prediction

Thomas J Wang. Circulation. .
No abstract available

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Figures

Figure 1
Figure 1
Progression from risk factors to overt cardiovascular disease, showing the stages at which circulating, genetic, and imaging biomarkers are most informative.
Figure 2
Figure 2
Increment in discrimination from adding hypothetical biomarkers, according to the degree of marker-marker correlation (r). The simulated hazards ratio for the outcome is 1.35 per SD increment in the biomarker. The y-axis shows the c-statistic from a model containing traditional risk factors plus a variable number of simulated biomarkers (x-axis), each with a fixed association with the outcome. The simulation was performed by Michael Pencina, Boston University.
Figure 3
Figure 3
Figure 3A and 3B: Study designs for evaluating biomarker-guided treatment strategies, indirect approach (testing interaction of biomarker level and treatment, Figure 3A) and direct approach (randomization to biomarker or no biomarker measurement, Figure 3B). Modified, with permission, from Sargent.
Figure 3
Figure 3
Figure 3A and 3B: Study designs for evaluating biomarker-guided treatment strategies, indirect approach (testing interaction of biomarker level and treatment, Figure 3A) and direct approach (randomization to biomarker or no biomarker measurement, Figure 3B). Modified, with permission, from Sargent.
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