Fig. 5
From: Gut microbiome for predicting immune checkpoint blockade-associated adverse events
External validation cohorts and evaluation metrics for microbiome model. A Receiver operating characteristic (ROC) curves for the validation of microbiome model using SH amplicon cohort (n = 65). B Statistical analysis was conducted based on the predictive value and actual value of irAEs using the optimal thresholds of RF score defined in the training cohort from SH amplicon cohort (n = 65), chi-square test. C Performance measurements of RF14 classifier for SH cohort illustrated by sensitivity, specificity, accuracy, positive predictive value (PPV), and negative predictive value (NPV). D Receiver operating characteristic (ROC) curves for the validation of microbiome model using JS metagenome cohort (n = 50). E Statistical analysis was conducted based on the predictive value and actual value of irAEs using the cut-off value of RF score defined in the training cohort from JS metagenome cohort (n = 50), chi-square test. F Performance measurements of RF14 classifier for JS cohort illustrated by sensitivity, specificity, accuracy, positive predictive value (PPV), and negative predictive value (NPV)