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The primary aim of the study is to identify clinical, laboratory, imaging, and pathohistological risk factors for the development of pancreatogenic diabetes after partial resection of the pancreas (PRP) and, based on these, to build a predictive model that would enable reliable and accurate identification of patients who will develop pancreatogenic diabetes. A review of the literature shows that there is currently no validated tool available in clinical practice for identifying patients at risk of this type of diabetes after PRP. Etiological differences between type 2 diabetes and pancreatogenic diabetes often lead to late diagnosis, limiting opportunities for timely intervention. The development of a comprehensive predictive model would contribute to a better understanding of the pathophysiology of pancreatogenic diabetes, enable the identification of patients at risk, facilitate tailor
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