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Sensitivity analysis

JJ Jia Jiang
RZ Ran Zhou
BL Bo Li
FX Fushan Xue
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In order to determine the robustness of our meta-analysis, sensitivity analyses by sequentially removing each high risk study was conducted and the remaining data set for the primary outcome was reanalyzed. Additionally, a previous study suggested that the probability of positive results reported in studies of certain languages, such as Chinese, were significantly higher than other languages [17]. Therefore, a “special” sensitivity analysis was planned by excluding Chinese studies to confirm if the Chinese articles affect the results of pooled analysis for the primary outcome.

Copyright and License information: The Author(s). ©2019
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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