Table 2. Diagnostic accuracy parameters for Ov58GPCR peptides and peptide cocktails.
| Peptide | AUC | SE | 95% CI for ROC AUC | p value | Selected cutoff | Sensitivity for selected cutoff and 95% CI | Specificity for selected cutoff and 95% CI | LR+ and 95% CI for selected cutoff | LR- and 95% CI for selected cutoff | ||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Peptide 1 | 0.977 | 0.0135 | [0.918–0.997] | <0.0001 | 0.5599 | 96.67 | [82.8–99.9] | 92.59 | [82.1–97.9] | 13.05 | [5.1–33.6] | 0.036 | [0.005–0.2] |
| Peptide 2 | 0.858 | 0.0399 | [0.766–0.924] | <0.0001 | 0.5581 | 93.75 | [79.2–99.2] | 77.78 | [64.4–88.0] | 4.22 | [2.5–7.0] | 0.08 | [0.02–0.3] |
| Peptide 3 | 0.952 | 0.0222 | [0.880–0.988] | <0.0001 | 0.687 | 93.33 | [77.9–99.2] | 89.8 | [77.8–96.6] | 9.15 | [4.0–21.1] | 0.074 | [0.02–0.3] |
| Peptide 4 | 0.951 | 0.0241 | [0.876–0.987] | <0.0001 | 0.6535 | 100 | [85.2–100.0] | 90.74 | [79.7–96.9] | 10.8 | [4.7–24.9] | 0 | - |
| Peptide 1–2 | 0.939 | 0.0256 | [0.870–0.978] | <0.0001 | 0.946 | 100 | [89.1–100.0] | 90.32 | [80.1–96.4] | 10.33 | [4.8–22.1] | 0 | - |
| Peptide 1–3 | 0.967 | 0.0181 | [0.908–0.993] | <0.0001 | 1.3347 | 93.75 | [79.2–99.2] | 96.77 | [88.8–99.6] | 29.06 | [7.4–114.0] | 0.065 | [0.02–0.2] |
| Peptide 2–3 | 0.987 | 0.0074 | [0.939–0.999] | <0.0001 | 1.2686 | 93.75 | [79.2–99.2] | 90.32 | [80.1–96.4] | 9.69 | [4.5–20.8] | 0.069 | [0.02–0.3] |
| Peptide 2–4 | 0.951 | 0.0217 | [0.886–0.985] | <0.0001 | 1.095 | 96.87 | [83.8–99.9] | 88.71 | [78.1–95.3] | 8.58 | [4.3–17.3] | 0.035 | [0.005–0.2] |
| Peptide 3–4 | 0.95 | 0.0218 | [0.884–0.984] | <0.0001 | 0.7893 | 100 | [89.1–100.0] | 87.1 | [76.1–94.3] | 7.75 | [4.1–14.8] | 0 | - |
| Peptide 1-2-4 | 0.97 | 0.0166 | [0.912–0.994] | <0.0001 | 1.1941 | 100 | [89.1–100.0] | 91.94 | [82.2–97.3] | 12.4 | [5.4–28.7] | 0 | - |
| Peptide 1-3-4 | 0.972 | 0.0155 | [0.915–0.995] | <0.0001 | 1.2237 | 100 | [89.1–100.0] | 90.32 | [80.1–96.4] | 10.33 | [4.8–22.1] | 0 | - |
| Peptide 2-3-4 | 0.93 | 0.026 | [0.853–0.974] | <0.0001 | 1.1743 | 100 | [87.7–100.0] | 76.79 | [63.6–87.0] | 4.31 | [2.7–6.9] | 0 | - |
| Peptide 1-2-3-4 | 0.929 | 0.0246 | [0.858–0.972] | <0.0001 | 1.3012 | 84.37 | [67.2–94.7] | 87.5 | [76.8–94.4] | 6.75 | [3.5–13.1] | 0.18 | [0.08–0.4] |
Parameters were determined based on previous description [77]. Cut off values for the sensitivity/specificity pairs were obtained using a receiver operator characteristics (ROC) curve analysis of sensitivity (y-axis) against 1-specificity (x-axis) using the OVS group as patients and the ITS group as controls. Thirty-two samples each were used for the groups analyzed. ROC curves were drawn using MedCalc® Statistical Software version 18. Sensitivity refers to the probability of getting a positive test result in subjects with the disease; Specificity is the probability of a negative test result in a subject without the disease. Likelihood ratio for positive test results indicates how much more likely the positive test result is to occur in subjects with the disease compared to those without the disease; Likelihood ratio for negative test results represents the ratio of the probability that a negative test result will occur in subjects with the disease to the probability that the same result will occur in subjects without the disease. The area under the ROC curve (AUC) is a measure of diagnostic accuracy. Generally, an AUC of 0.9–1.0 indicates an excellent diagnostic accuracy. SE: Standard error, AUC: Area under the ROC curve, LR+: Positive likelihood ratio, LR-: Negative likelihood ratio.