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. 2019 Apr 19;19(6):5063–5078. doi: 10.3892/mmr.2019.10171

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Copyright: © Li et al.

This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.

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Figure 6. — Forest plots of pooled miR-1 in the diagnosis of lung squamous cell carcinoma. (A) Sensitivity, (B) specificity, (C) positive LR, (D) negative LR, indicating the sensitivity and specificity of all included studies. miR, microRNA; SROC, summarized receiver operating characteristic; GSE, Genomic Spatial Event; PMID, PubMed ID; TCGA, The Cancer Genome Atlas; TCGA, The Cancer Genome Atlas; CI, confidence interval; AUC, area under the curve; LR, likelihood ratio; OR, odds ratio. Forest plots of pooled miR-1 in the diagnosis of lung squamous cell carcinoma. (E) Diagnostic OR and (F) SROC graphs indicating the sensitivity and specificity of all included studies.

Figure 6. — Forest plots of pooled miR-1 in the diagnosis of lung squamous cell carcinoma. (A) Sensitivity, (B) specificity, (C) positive LR, (D) negative LR, indicating the sensitivity and specificity of all included studies. miR, microRNA; SROC, summarized receiver operating characteristic; GSE, Genomic Spatial Event; PMID, PubMed ID; TCGA, The Cancer Genome Atlas; TCGA, The Cancer Genome Atlas; CI, confidence interval; AUC, area under the curve; LR, likelihood ratio; OR, odds ratio. Forest plots of pooled miR-1 in the diagnosis of lung squamous cell carcinoma. (E) Diagnostic OR and (F) SROC graphs indicating the sensitivity and specificity of all included studies.