Search

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. The study is designed as an international, multicenter, non-interventional, observational registry that will enroll adult patients with hypertriglyceridemia to collect natural history data on the treatment, progression, and long-term outcomes of hypertriglyceridemia-induced acute pancreatitis. Patients with both hypertriglyceridemia and pancreatitis will be invited to participate in the registry at participating hospitals and centers worldwide. Data from this registry, and others like it, is intended for healthcare providers to optimize clinical decision-making through an enhanced understanding of the variability, progression, and natural history of hypertriglyceridemia as well as the burden of disease. 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. In a 2022 study, information was collected from literature, patients, and doctors who care for patients to create a record with the most important information needed to understand patients with a disease called triglyceride-induced acute pancreatitis (TG-IAP). This type of record may help people find patients with the disease and the type of care or treatment they require. The study was started and completed because the doctors used methods to guide and help them understand what needed to be done. This paper describes the method used for this study, including information on: Data collection: how the relevant information about TG-IAP patients was collected; Permissions: how permission was gained to do the study; Patient information: how the information collected about TG-IAP patients will be used; and Patient protection: how the patients who takes part in the study will be protected. [ABSTRACT FROM AUTHOR]

The objective of this study is to generate a core clinical dataset (CD) containing the minimum acceptable amount of information that should be collected for each patient presenting with triglyceride-induced acute pancreatitis within global treatment centres or sites. The Jandhyala Method, including systematic literature review and SMART interviews, was used to observe expert opinion from ten leaders in the treatment of triglyceride-induced acute pancreatitis (TG-IAP) across the US and EU. Using the PRISMA Literature Review Protocol, data were extracted from 123 of the 6718 identified studies. A total of 243 items were identified from the data extracted from these studies and, combined with the unique items coded from the Awareness Round (1) survey, formed the Consensus Round (2) survey. One hundred and ninety-five of the 243 items (80%) met the consensus threshold and were included for appraisal in the SMART interview phase. A total of 109 items were agreed to form part of the current clinical diagnostic and monitoring procedure by all experts once the weights across all the stakeholder disciplines were balanced to eliminate bias. These items were further condensed to form the core dataset, comprising a total of 87 items. Once validated and adopted, the TG-IAP CD will improve the overall management of patients with TG-IAP by speeding up diagnosis and detecting changes in disease severity and subsequent disease progression, informing personalized patient management plans, and improving patient outcomes. [ABSTRACT FROM AUTHOR]

Hereditary transthyretin (ATTRv) amyloidosis is a progressive multisystemic disease of adult-onset that arises from an inherited mutation in the transthyretin gene. Currently available disease severity and progression evaluation tools only cover one single organ or system, impacting data collection uniformity and its use in clinical settings. The Jandhyala Method, including a systematic literature review and SMART interviews, was used to observe expert opinion from eight leaders in the treatment of ATTRv across Europe. The aim was to propose a multidisciplinary core dataset (CD) and disease severity scoring (DSS) tools. The multidisciplinary team of experts identified 140 indicators that form part of the standard diagnostic and monitoring practice (SDMP) and should be collected as the ATTRv CD. Thirty-one (22%) of these indicators informed disease severity and comprised the ATTRv DSS, whilst 25 (18%) were deemed to monitor disease progression. The resulting CD and DSS have different purposes. The ATTRv CD supports the collection of high-quality data for clinical research, whereas the ATTRv DSS can be rapidly conducted in a clinical setting and aid patient management. [ABSTRACT FROM AUTHOR]