26 research outputs found

    Liver redistricting: what are the upcoming changes in liver allocation in the United States?

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    Geographic disparity in liver transplantation is substantial in the United States, and primarily a byproduct of artificially created zones of organ distribution. In 2016, the United Network for Organ Sharing (UNOS) put forward a formal redistricting proposal with the goal of reducing this variability by regrouping the country's 58 donation service areas into eight new districts. This review provides a summary of the redistricting proposal's methodologies, expected results, criticisms and next steps. Previous authors have extensively evaluated the limitations of the current organ allocation and distribution system and how inequities in access to liver transplantation occur. However, few have suggested or simulated new ways to solve or improve this process. The 2016 UNOS redistricting proposal constitutes the first formal evaluation of a novel distribution model. This proposal and its shortcomings have led to multiple discussions throughout the transplant community and encouraged further research in this field. This review provides an updated perspective on the key organ distribution issues facing the US transplant community at large, and how UNOS and other experts suggest the problem of geographic disparity in liver transplantation should be solved

    Best Practices in Large Database Clinical Epidemiology Research in Hepatology: Barriers and Opportunities

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    With advances in computing and information technology, large health care research databases are becoming increasingly accessible to investigators across the world. These rich, population‐level data sources can serve many purposes, such as to generate “real‐world evidence,” to enhance disease phenotyping, or to identify unmet clinical needs, among others. This is of particular relevance to the study of patients with end‐stage liver disease (ESLD), a socioeconomically and clinically heterogeneous population that is frequently under‐represented in clinical trials. This review describes the recommended “best practices” in the execution, reporting, and interpretation of large database clinical epidemiology research in hepatology. The advantages and limitations of selected data sources are reviewed, as well as important concepts on data linkages. The appropriate classification of exposures and outcomes is addressed, and the strategies needed to overcome limitations of the data and minimize bias are explained as they pertain to patients with ESLD and/or liver transplantation (LT) recipients. Lastly, selected statistical concepts are reviewed, from model building to analytic decision making and hypothesis testing. The purpose of this review is to provide the practical insights and knowledge needed to ensure successful and impactful research using large clinical databases in the modern era and advance the study of ESLD and LT
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