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. 2018 Aug 12;41(10):2178–2186. doi: 10.2337/dc18-0777

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© 2018 by the American Diabetes Association.

Readers may use this article as long as the work is properly cited, the use is educational and not for profit, and the work is not altered. More information is available at http://www.diabetesjournals.org/content/license.

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Diagnostic biomarker performance of a multivariate prediction model. A: Receiver operating characteristic curve of cross-validated linear models. Each sample was classified as combined control and seronegative (CO/SN) or new-onset (NO) using a generalized linear model developed without that sample. B: Probability of being classified as NO. Probabilities were determined using a linear model developed on all CO/SN subjects and NO patients. The 10 proteins selected for this model were MH0003_GL0005194, T2D.17A_GL0015017, V1.FI37_GL0010556, galectin-3, MH0133_GL0027226, fibrillin-1, CELA3A, neutral ceramidase, MH0012_GL0028086, and V1.UC30.0_GL0016764. NS, not significant. ***P < 0.001; ****P < 0.0001. SP, seropositive.