“…Further, it also only focused on novel (non-routine) molecular markers, which effectively means that many routine markers (urea, creatinine, lactate dehydrogenase, C-reactive protein, hematocrit, blood gases, etc.) as well as several modern computer-based predictive tools in acute pancreatitis (artificial neural network, kernel-based modelling, linear discriminant analysis [4][5][6]) were not counted. Collectively, these indicate that the literature is replete with dozens, if not hundreds, of presumably effective ways to predict the severity of acute pancreatitis, but it appears that very few have entered clinical practice.…”