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Fig. 3 | BMC Medical Informatics and Decision Making

Fig. 3

From: Gut microbiome-based machine learning for diagnostic prediction of liver fibrosis and cirrhosis: a systematic review and meta-analysis

Fig. 3

Forest plot of SEN and SPE for the diagnosis of liver fibrosis and cirrhosis using gut microbiome-based ML (a); Forest plot of likelihood ratios for the diagnosis of liver fibrosis and cirrhosis gut microbiome-based ML (b); Forest plot of DOR for the diagnosis of liver fibrosis and cirrhosis using gut microbiome-based ML (c); Forest plot of SROC for the diagnosis of liver fibrosis and cirrhosis using gut microbiome-based ML (d). In figure (d), the full line represents the SROC curve; numerical circles represent the included prediction trials; the red rhombus indicates the point estimate of sensitivity/specificity; and the dotted line indicates the 95% confidence intervals (95% CI: 0.83–0.89)

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