Current medical research and opinion
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In the study on triglyceride-induced pancreatitis (TG-IAP), a core clinical dataset using the Jandhyala method was developed to collect the minimum amount of information for each patient presenting with TG-IAP globally. This approach offered a unified framework for observing multiple populations of TG-IAP patients using the same set of indicators, resulting in a considerably larger and uniform real-world population. It was understood that when this core dataset is implemented in a patient registry it could address the issue of missing data in observational studies and produce higher-quality research. In this paper, the protocol used to design and implement a patient registry for this core dataset to generate real-world evidence from multiple sites is described. ⋯ Global epidemiological data on hypertriglyceridemia and its role in acute pancreatitis is limited. Using real-world evidence, this registry, along with others like it, may help healthcare providers understand the variability, progression, natural history, and burden of the disease, and improve the diagnosis and management of HTG and TG-IAP.