科微学术

微生物学通报

Meta分析在细菌耐药性研究中的应用与展望
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上海市教育委员会科研创新计划(2017-01-07-00-10-E00056);国家博士后创新人才支持计划(BX20190194);国家自然科学基金(32001800)


Application and prospect of Meta-analysis in the study of bacterial resistance
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    摘要:

    随着抗生素的大量不规范使用,细菌耐药性不断增强,导致耐药及多重耐药细菌的出现,严重威胁着人类健康。运用统计学方法对耐药性相关研究进行汇总与多元分析,有助于更好地了解全球细菌耐药性的流行与分布,明晰细菌耐药性形成规律与机制的共性问题。Meta分析是一种将多个同类型研究进行综合分析的统计学方法,已广泛应用于细菌耐药性的研究。本文简要描述了Meta分析的起源及基本流程,并采用文献计量的方法对2000-2020年关于Meta分析在细菌耐药性研究中的应用进行系统综述;进一步总结并阐述了Meta分析在细菌耐药性领域应用的成功案例和结论,而且对Meta分析方法在细菌耐药性领域中的进一步研究进行了展望,以期推动该方法在细菌耐药性研究中的应用,为耐药性问题的系统阐释和有效控制提供可靠的工具。

    Abstract:

    With the massive and irregular use of antibiotics, the antibiotic resistance of bacteria continues to increase, leading to the emergence of drug-resistant and multi-drug resistant bacteria, which seriously threaten human health. Therefore, the application of statistical methods to summarize and multi-analyze the research on antibiotic resistance will help to better understand the prevalence and distribution of antibiotic resistance bacteria worldwide, clarify the common problems of the laws and mechanisms of the formation of drug resistance, and provide effective and scientific guidance for prevention and control the breeding and transmission of bacterial resistance. Meta-analysis is a statistical method that comprehensively analyzes multiple studies in the same research field. It has been widely used in the study of bacterial resistance. In this comprehensive review, briefly describes the origin and basic process of Meta-analysis. The bibliometrics was used to systematically and comprehensively analyze the application of Meta-analysis in the study of bacterial antibiotic resistance from 2000 to 2020. Then, we summarized and explained the successful cases and conclusions of Meta-analysis in the field of bacterial resistance. Furthermore, the future research about Meta-analysis in the field of bacterial antibiotic resistance was prospected, for the view of promote the application of this method in the study of bacterial resistance, and provide a reliable tool for the systematic interpretation and effective control of bacterial resistance.

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陶倩,张昭寰,刘静,吴倩,黄振华,潘迎捷,赵勇. Meta分析在细菌耐药性研究中的应用与展望[J]. 微生物学通报, 2021, 48(11): 4364-4376

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  • 收稿日期:2021-02-07
  • 最后修改日期:
  • 录用日期:2021-03-18
  • 在线发布日期: 2021-11-11
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