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. 2018 Apr 10;16:76. doi: 10.1186/s12957-018-1378-6

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© The Author(s). 2018

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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Fig. 5 — Meta-analysis of PCR, TCGA database, and GEO microarrays. a Forest plot of miR-182-5p expression data from PCR, TCGA database, and GEO microarrays. The pooled SMD of miR-182-5p was 1.44 (95% CI 0.83 to 2.05) by the random effects model. The I-squared value was 81.8%, and the p value was less than 0.001. b Sensitivity analysis of PCR, TCGA database, and GEO microarrays. c The funnel plot shows the publication bias of PCR, TCGA database, and GEO microarrays (Begg’s method). d sROC curve (AUC) of miR-182-5p in the diagnosis of LUSC data from PCR, TCGA database, and GEO microarrays. The AUC was 0.95 (95% CI 0.93–0.97)