Abstract
Many descriptive epidemiological and comparative studies using big data have been reported recently from outside Japan. Within Japan, diagnosis procedure combination (DPC) data and medical receipt data are being stored in electronic media, and real-world evidence in various fields has started to be reported. We reviewed clinical studies on disseminated intravascular coagulation (DIC) using DPC data obtained from an insurance database with large numbers of cases and a related commercially available dataset including DPC and laboratory data. After DPC was introduced in 2003, 19 studies on DIC using Japanese national DPC data and two studies using the Medical Data Vision database were reported. Epidemiological findings in seven studies showed that the proportion of drugs administered for each underlying disease differed, with antithrombin and recombinant thrombomodulin (rTM) being used more frequently in clinical settings. In 14 comparative studies on anti-DIC agents, antithrombin for severe pneumonia, postoperative intestinal perforation, and severe burn, and rTM for acute cholangitis were associated with improved survival rates. Large-scale observational studies using big data can show results similar to those of randomized control trials if the quality of individual research is high. Real-world data analysis will be increasingly necessary to complement the evidence gap unfilled by randomized control trials.