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Specific strategies for research screening and data extraction in systematic reviews and method discussion

Published on Aug. 21, 2020Total Views: 8702 timesTotal Downloads: 3755 timesDownloadMobile

Author: Ling-Hui MENG 1, 2* Lang JI 1

Affiliation: 1. Center for Evidence-Based Medicine, Capital Institute of Pediatrics, Beijing 100020, China 2. The Department of Global Public Health, Karolinska Institutet 17177, Sweden

Keywords: Systematic review Study selection Data extraction

DOI: 10.12173/j.issn.1004-5511.2020.04.03

Reference: Meng LH, Ji L. Specific strategies for research screening and data extraction in systematic reviews and method discussion[J]. Yixue Xinzhi Zazhi, 2020, 30(4): 272-278. DOI: 10.12173/j.issn.1004-5511.2020.04.03.[Article in Chinese]

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Abstract

The quality of a systematic review / Meta-analysis depends to some extent on which original studies are included, and how the data in the original studies are extracted, analyzed, and presented. This article will introduce how to identify different publications of the same research during screening, how to determine whether a research is a target research from simple to complex levels, and how to review exclusion studies one by one. The data extraction process should be objective, require prior training, pre-extraction, multiple people extraction, and reasonable treatment of the differences that arise. The data extraction table is the core and soul of the data extraction process. Reasonably designing the data extraction table and appropriate data conversion when necessary is a sufficient condition for a qualified systematic review. This article will elaborate the specific strategies and methods for data extraction after the target research is determined from these aspects.

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References

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