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Big Data for Small People: How Novel Data Collection Can Improve Pediatric Transplantation Outcomes

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Kanneganti et al merged UNOS and PHIS data to perform the first assessment of center-level variation in acute rejection and biliary tract complications in the first year following pediatric liver… Click to show full abstract

Kanneganti et al merged UNOS and PHIS data to perform the first assessment of center-level variation in acute rejection and biliary tract complications in the first year following pediatric liver transplantation (1). By combining these data sources, these authors have (1) created a novel, robust dataset for longitudinal study of pediatric liver transplant recipients and (2) have identified potentially new opportunities for quality improvement in post-pediatric liver transplantation morbidity. In their analysis, Kanneganti et al found significant center-level variation in acute rejection and, to a lesser degree, in biliary complications in the year following pediatric liver transplantation.

Keywords: big data; pediatric liver; small people; liver transplantation; transplantation; data small

Journal Title: Liver Transplantation
Year Published: 2021

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