Table 2.
Study no. | Author/year | AUROC | Sensitivity (%) | Specificity (%) | Cut-off value | True positive | False positive | False negative | True negative |
---|---|---|---|---|---|---|---|---|---|
1 | Monge García/2011 | 0.986 | 93.75 | 100 | 0.89 | 15 | 0 | 1 | 9 |
2 | Gong/2013 | 0.95 | 89.5 | 92.3 | 0.85 | 17 | 1 | 2 | 12 |
3 | Monge García/2014 | 0.94 | 90.9 | 91.5 | 0.73 | 30 | 4 | 3 | 43 |
4 | Seo/2015 | 0.81 | 70.6 | 86.4 | 0.74 | 12 | 3 | 5 | 19 |
5 | Lanchon/2017* | 0.54 | 58.8 | 52.9 | NR | 10 | 16 | 7 | 18 |
6 | de Courson/2019 | 0.71 | 76.2 | 60.0 | 0.65 | 16 | 14 | 5 | 21 |
7 | Guarracino/2019 | 0.954 | 100 | 95 | 0.76 | 35 | 1 | 0 | 19 |
8 | Luetrakool/2020* | 0.67 | 55.6 | 78.6 | NR | 5 | 3 | 4 | 11 |
No. number, MAP mean arterial pressure, AUROC area under the receive operator characteristic curve, NR no record
* The study failed to identify the predictive ability of dynamic arterial elastance. These two studies only reported the AUROC value. Thus, we returned to the original ROC curve in their article to identify the cut-off point and estimate its corresponding sensitivity and specificity