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Table 6 Random forest model results for tissue and saliva samples using either mgmiRs and demographic variables or the mgmiRs alone

From: Methylated genomic loci encoding microRNA as a biomarker panel in tissue and saliva for head and neck squamous cell carcinoma

Model

AUC % (95% CI)

Sensitivity % [median (2.5–97.5%)]

Specificity % [median (2.5–97.5%)]

PPV

NPV

Tissue

 mgmiRs and demographics

98.9 (97.1–100)

96.3 (90.7-100)

96.7 (90.0-100)

98.2

93.8

 mgmiRs

99.4 (98.6–100)

93.7 (87.3–98.4)

100 (100–100)

100

88.2

Saliva

 mgmiRs and demographics

93.8 (87.3–100)

85.7 (71.4–96.4)

94.4 (86.1–100)

93.3

90.0

 mgmiRs

93.5 (87.2–99.7)

78.6 (60.7–92.9)

100 (100–100)

100

85.7

  1. Univariate and multivariable logistic regression with dichotomized variables