SEARCH PROCEDURE AND DATA EXTRACTION FOR META-ANALYSIS IN BIOMEDICAL RESEARCH

J. Obradovic, V. Jurišić
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Abstract

The meta-analysis provides a unique scientific conclusion with precise statistical analysis of pooled data extracted from previously reported relevant studies. That gives a better insight into the current issue with more statistical certainty than any single study observation in biomedical research. Occasionally, meta-analyses don’t provide a precise time for each step of the search strategy. The complete meta-analysis procedure is usually time-consuming, with 6-18 months reported, but it depends on the numbers of collected articles manually reviewed by two or more researchers to prevent potential bias. The purpose of this paper was to present a part of meta-analysis research with a focus on a timeline manner for extraction procedure and suggestions for preparing the database of collected articles. PRISMA guidelines were followed, and Pub Med, Scopus, and ISI Web of Science for the search were used. EndNote reference manager v.7 and Microsoft Excel 2007 were used for base preparation. Results showed that the final reference number was 4918, and 99.88% of them were excluded. A month was necessary for the search of the electronic databases. For reading titles and abstracts and extracting the papers was needed the fourth month. A month was needed for an additional search of bibliographies of the eligible papers. Even with the dedication of the team of reviewers, it is hard to predict the exact time for conducting the meta-analysis, indeed. Our results could be applicable in planning the potential systematic reviews, with or without meta-analysis, and overcoming the obstacles in the single database preparation.
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生物医学研究中元分析的检索程序和数据提取
荟萃分析通过对先前报道的相关研究中提取的汇总数据进行精确的统计分析,提供了独特的科学结论。这比生物医学研究中的任何单一研究观察都更有统计确定性,能更好地洞察当前的问题。有时候,元分析并不能为搜索策略的每一步提供精确的时间。完整的荟萃分析过程通常是耗时的,需要6-18个月的报告,但它取决于收集的文章的数量,由两个或更多的研究人员手工审查,以防止潜在的偏倚。本文的目的是介绍部分荟萃分析研究,重点是提取程序的时间轴方式和准备收集文章数据库的建议。遵循PRISMA指南,使用Pub Med、Scopus和ISI Web of Science进行检索。使用EndNote参考管理器v.7和Microsoft Excel 2007进行基础准备。结果最终文献号为4918篇,99.88%的文献被排除。搜索电子数据库需要一个月的时间。第四个月需要阅读标题和摘要并提取论文。又花了一个月的时间来查找符合条件的论文的参考书目。即使有审稿人团队的奉献,也很难预测进行荟萃分析的确切时间。我们的结果可以应用于计划潜在的系统评价,无论是否进行荟萃分析,并克服单一数据库准备中的障碍。
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