Volume 23 Issue 3
Mar.  2025
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ZHU Xianshang, MAO Huabo, ZENG Hongyu, LYU Fengli, WANG Jiancheng. Evidence map of causal associations between hypertension and its influencing factors based on Mendelian randomization studies[J]. Chinese Journal of General Practice, 2025, 23(3): 506-510. doi: 10.16766/j.cnki.issn.1674-4152.003938
Citation: ZHU Xianshang, MAO Huabo, ZENG Hongyu, LYU Fengli, WANG Jiancheng. Evidence map of causal associations between hypertension and its influencing factors based on Mendelian randomization studies[J]. Chinese Journal of General Practice, 2025, 23(3): 506-510. doi: 10.16766/j.cnki.issn.1674-4152.003938

Evidence map of causal associations between hypertension and its influencing factors based on Mendelian randomization studies

doi: 10.16766/j.cnki.issn.1674-4152.003938
Funds:

 2022KTZ010

 22GSSYD-54

  • Received Date: 2024-05-22
    Available Online: 2025-05-14
  •   Objective  To systematically identify, describe, and evaluate research evidence on the causal association between hypertension and its influencing factors through an evidence mapping system.  Methods  A comprehensive search was conducted across CNKI, Wanfang Data, PubMed, and Web of Science databases up to October 18, 2023 to obtain Mendelian randomization studies exploring causal associations between hypertension and influencing factors. Excel was used to extract and organize data incorporated into research, and to conduct the properties of the studies based on the three major assumptions of MR research. An evidence map was constructed to summarize the number of studies, exposures or outcomes, and research results.  Results  A total of 108 documents were included in this study, encompassing 182 Mendelian randomization studies. The research focused on exploring the causal relationship between hypertension, either as an exposure or an outcome, and various influencing factors. Nine categories of exposures and seven categories of outcomes related hypertension were identified. The majority (97.80%) of the studies utilized the inverse variance weighting method, and 95.05% utilized a two-sample MR design, primarily involving European populations. Approximately 80.77% of the studies met the three major assumptions of MR research, with statistically significant findings reported in most cases.  Conclusion  This study systematically summarizes the causal relationships between hypertension and its influencing factors. Current Mendelian randomization research primarily examines the causal links between hypertension and anthropometric characteristics, common diseases, and cardiovascular or cerebrovascular diseases. Furthermore, exploration is needed to clarify the specific effects of exposure factors on blood pressure levels and to establish quality control standards for MR studies. Improving the reliability and generalizability of evidence will provide more precise reference for the prevention and treatment of hypertension.

     

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