Value | 95% confidence intervals | |
---|---|---|
India | ||
Sensitivity | 91.58% | 88.38–94.13% |
Specificity | 92.21% | 83.81–97.09% |
Positive likelihood ratio | 11.75 | 5.45–25.36 |
Negative likelihood ratio | 0.09 | 0.07–0.13 |
Positive predictive value | 93.49% | 86.94–96.87% |
Negative predictive value | 89.96% | 86.53–92.59% |
Accuracy | 91.86% | 89.01–94.17% |
Italy | ||
Sensitivity | 80.75% | 74.36–86.14% |
Specificity | 96.97% | 91.40–99.37% |
Positive likelihood ratio | 26.65 | 8.72–81.39 |
Negative likelihood ratio | 0.2 | 0.15–0.27 |
Positive predictive value | 93.21% | 81.80–97.67% |
Negative predictive value | 90.72% | 87.92–92.93% |
Accuracy | 91.45% | 87.59–94.42% |
Japan | ||
Sensitivity | 17.22% | 12.37–23.04% |
Specificity | 99.57% | 97.65–99.99% |
Positive likelihood ratio | 40.48 | 5.60–292.67 |
Negative likelihood ratio | 0.83 | 0.78–0.88 |
Positive predictive value | 96.43% | 78.87–99.49% |
Negative predictive value | 64.34% | 62.90–65.76% |
Accuracy | 66.63% | 62.04–71.01% |
Mexico | ||
Sensitivity | 92.50% | 86.24–96.51% |
Specificity | 93.53% | 88.06–97.00% |
Positive likelihood ratio | 14.29 | 7.58–26.93 |
Negative likelihood ratio | 0.08 | 0.04–0.15 |
Positive predictive value | 97.26% | 94.98–98.52% |
Negative predictive value | 93.26% | 89.49–95.99% |
Accuracy | 92.50% | 86.24–96.51% |
United States | ||
Sensitivity | 78.71% | 71.42–84.87% |
Specificity | 97.28% | 93.18–99.25% |
Positive likelihood ratio | 28.93 | 10.96–76.31 |
Negative likelihood ratio | 0.22 | 0.16–0.30 |
Positive predictive value | 92.85% | 83.13–97.17% |
Negative predictive value | 91.05% | 88.24–93.23% |
Accuracy | 91.52% | 87.79–94.41% |