Application of Mendelian Randomization in Cardiovascular Disease: Bibliometric Analysis and Visualization from 2003 to 2024

As the scope of MR studies continues to expand, especially the number of measurable features continues to increase, the need for rigorous methods and critical interpretation of MR findings becomes increasingly apparent. However, this ease of use can compromise the reliability of study results due to methodological flaws and publication bias, thereby affecting the perceived significance of the results. Nonetheless, with the emergence of large genetic datasets supporting two-sample MR, resources such as MR-Base and PhenoScanner, MR remains a powerful method for identifying potential pathogenic features in cardiometabolic and other diseases. In addition, it plays a crucial role in prioritizing drug targets for entry into clinical trials.