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The methodological quality of systematic reviews indexed in the MEDLINE database:A multivariate approach

机译:MEDLINE数据库中索引的系统评价的方法学质量:多元方法

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Purpose - The purpose of this paper is to describe and analyse the methodology quality of the literature search protocols of systematic reviews and to assess the relevance of the search filter that applies PubMed for retrieving this type of publication of the MEDLINE database. Design/methodology/approach - For the selection of the document type, a literature search about nutritional and metabolic diseases was carried out in MEDLINE and the PubMed filter was used for retrieving "Systematic Reviews", selecting "Nutritional and Metabolic Diseases" from the Medical Subject Headings (MeSH) database as Major Topic to determine the area of knowledge. Data analysis was carried out using "External Logistic Biplot", a novel multivariate statistical technique in the field of medical documentation. Findings - The results highlight the large variability of the methodology used in the literature search protocols of the systematic reviews analysed and confirm the low precision of the filter used by PubMed for the recovery of systematic reviews. Originality/value - The Logistic Biplot used in this research allows an optimal categorization of the different documentary typologies and classifies the documents by their methodological quality, demonstrating its usefulness for the future development of the bibliometric analysis.
机译:目的-本文的目的是描述和分析系统评价文献检索协议的方法学质量,并评估应用PubMed检索MEDLINE数据库此类出版物的检索过滤器的相关性。设计/方法/方法-为选择文献类型,在MEDLINE中进行了有关营养和代谢性疾病的文献检索,并使用PubMed过滤器检索“系统评价”,并从“医学”中选择“营养和代谢性疾病”以主题标题(MeSH)数据库为主要主题来确定知识领域。使用“ External Logistic Biplot”进行数据分析,这是医学文献领域中一种新颖的多元统计技术。发现-结果突出了所分析的系统评价的文献检索方案中使用的方法的巨大差异,并证实了PubMed用于恢复系统评价的过滤器的精度较低。原创性/价值-本研究中使用的Logistic Biplot可以对不同的文献类型进行最佳分类,并按其方法学质量对文件进行分类,从而证明其对文献计量分析的未来发展很有用。

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