Approaches to Assessing the Quality of Observational Studies of Clinical Practice Based on the Big Data Analysis

The article is devoted to the discussion of the problems of assessing the quality of observational studies in real clinical practice and determining their place in the hierarchy of evidence-based information. The concept of “big data” and the acceptability of using such a term to refer to large obse...

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Bibliographic Details
Main Author: S. R. Gilyarevsky
Format: Article
Language:English
Published: Столичная издательская компания 2021-09-01
Series:Рациональная фармакотерапия в кардиологии
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Online Access:https://www.rpcardio.online/jour/article/view/2541
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Summary:The article is devoted to the discussion of the problems of assessing the quality of observational studies in real clinical practice and determining their place in the hierarchy of evidence-based information. The concept of “big data” and the acceptability of using such a term to refer to large observational studies is being discussed. Data on the limitations of administrative and claims databases when performing observational studies to assess the effects of interventions are presented. The concept of confounding factors influencing the results of observational studies is discussed. Modern approaches to reducing the severity of bias in real-life clinical practice studies are presented. The criteria for assessing the quality of observational pharmacoepidemiological studies and the fundamental differences between such studies and randomized clinical trials are presented. The results of systematic reviews of real-life clinical trials to assess the effects of direct oral anticoagulants are discussed.
ISSN:1819-6446
2225-3653