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The Munigala model discovered age, body mass index (BMI), smoking, chronic pancreatitis and gallstones as major predictors of PDAC in the NOD population up to 3 years before PDAC diagnosis in individuals 40 years of age and older ( Figure 4B ) ( Figure 4B ) ( The Enriching New-Onset Diabetes for Pancreatic Cancer (ENDPAC) model was introduced to enrich and stratify NOD individuals based on their risk of PDAC development by including age of onset, weight change, blood glucose categories established by the American Diabetes Association that records blood glucose change a year before and at the time of NOD diagnosis ( Figure 4B ) ( Figure 4B ) ( The Ali Model demonstrated that age and use of diabetes medication best discriminate PDAC-associated diabetes in a study conducted exclusively in women, with some predictive effects of beta-blockers, lipid-modifying agents, and acid disorder drugs ( Figure 4B ) ( Figure 4B ) ( Figure 4B ) ( Potential biomarkers and identifiers of new-onset diabetes to distinguish PDAC-associated diabetes and T2D Apart from clinical markers of T1D and clinical evidence of PDAC-associated diabetes that distinguish from T2D within NOD populations, there is a need to establish clinically relevant and reliable non-invasive blood biomarkers for the differentiation of diabetes and further knowledge in independent fields of T2D and PDAC
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