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What we must know about clinical research in the ICU. Ryohei YAMAMOTO 1 1Department of Healthcare Epidemiology Graduate School of Medicine Kyoto University pp.783-797
Published Date 2020/10/1
DOI https://doi.org/10.11477/mf.3102200816
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In recent decades, clinical (epidemiological) research in the ICU has not only focused on finding new interventions but also on re-evaluating interventions that have been performed without clearly defined effects. “Less is more” is now the main theme. Many clinical studies investigate interventions to avoid harm rather than to find novel treatment effects. The use of “big data” in clinical research has been attracting a lot of attention. However, perhaps we should not expect too much. There are many difficulties in making valid causal inferences in observational studies, and lower quality data results in a greater likelihood of introducing bias. For these reasons, observational studies using “big data” do not replace RCTs but might emulate and complement them. In the future, clinical studies might combine big data and RCTs. A new era with teams organized by epidemiologists, biostatisticians, and data scientists as well as intensivists might be on the horizon. ICU clinical research in Japan is on the verge of a crisis, and there is an urgent need for a system to support clinical research and train and gain experience in the conduct of RCTs.


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電子版ISSN 2186-7852 印刷版ISSN 1883-4833 メディカル・サイエンス・インターナショナル

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