Key result
Analysis of the National Health Insurance Research Database in Taiwan provides valuable insights into cardiovascular diseases, including pregnancy-related complications and post-marketing medication safety.
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Highlights the potential and limitations of big database studies in cardiology research, emphasizing the need for rigorous statistical methods and reliable interpretation processes.
As medical research techniques and quality have improved, it is apparent that cardiovascular problems could be better resolved by more strict experiment design. In fact, substantial time and resources should be expended to fulfill the requirements of high quality studies. Many worthy ideas and hypotheses were unable to be verified or proven due to ethical or economic limitations. In recent years, new and various applications and uses of databases have received increasing attention. Important information regarding certain issues such as rare cardiovascular diseases, women's heart health, post-marketing analysis of different medications, or a combination of clinical and regional cardiac features could be obtained by the use of rigorous statistical methods. However, there are limitations that exist among all databases. One of the key essentials to creating and correctly addressing this research is through reliable processes of analyzing and interpreting these cardiologic databases.
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Lee et al. (2017) conducted a review in Cardiovascular diseases. Big database analysis (NHIRD) was evaluated. Analysis of the National Health Insurance Research Database in Taiwan provides valuable insights into cardiovascular diseases, including pregnancy-related complications and post-marketing medication safety.
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