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10.1097/CAD.0b013e328330fd90 117 PojeroF.PomaP.SpanV.MontalbanoA.BarrajaP.NotarbartoloM

All other data generated or analyzed during this study are included in the published manuscript and the Supplementary information files

In tier 2, a non-invasive screening strategy is applied to distinguish PDAC-associated diabetes from T2D by evaluating emerging blood biomarkers such as increased miRNAs, galectin-3, S100A9, adiponectin and IL-1Ra, glucagon/insulin ratio, vanin-1 and MPP9, cysteamine, lower GSH, lower PPAR-, and lower pancreatic polypeptide paired with an appropriate modeling strategy using the available clinical parameters for risk-assessment such as the Boursi multivariable model, ENDPAC, or machine-learning approaches such as XGBoost, to refine risk assessment (102108)

(2023) 9:e21227

doi: 10.1155/2015/478041 9 AsaS