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Fig. 4 | Cardiovascular Diabetology

Fig. 4

From: Incremental predictive value of liver fat fraction based on spectral detector CT for major adverse cardiovascular events in T2DM patients with suspected coronary artery disease

Fig. 4

Decision Curve Analysis of the Models. The y-axis measures the net benefit. The net benefit is determined by calculating the difference between the expected benefit and the expected harm associated with each proposed model Net benefit = true positive rate-(false positive rate x weighting factor), weighting factor = threshold probability/ (1-threshold probability). Model A：FRS；Model B：FRS + CACS；Model C：FRS + CACS + LFF；Model D：FRS + CACS + LFF + Obstructive stenosis + Early revascularization. Abbreviation: CACS, coronary artery calcium score; LFF, liver fat fraction. FRS, Framingham Risk Score

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Cardiovascular Diabetology

ISSN: 1475-2840