Year | Author | N | Country | Optimal surgical debulking rate | HE4 cutoff value (pmol/L) | Sensitivity | Specificity | PPV | NPV | AUC | statistical method | References |
---|---|---|---|---|---|---|---|---|---|---|---|---|
2016 | Karlsen | 150 | Danish | 27.00% | 262.00 | – | – | – | – | 0.79 | logistic | 1 [18] |
2012 | Angioli | 57 | Italy | 66.70% | 262.00 | 86.10% | 89.50% | 93.90% | 77.00% | 0.86 | ROC | 1 [19] |
2012 | Braicu | 275 | Germany | 68.40% | 235.00 | 76.60% | 47.30% | – | – | 0.63 | ROC | 1 [20] |
2013 | Braicu | 275 | Germany | 68.50% | 500.00 | 51.90% | 70.40% | – | – | 0.63 | ROC | 1 [20] |
2016 | Shen | 39 | China | – | 353.22 | 77.40% | 75.00% | 92.30% | 46.20% | 0.76 | ROC | 1 [21] |
2015 | Tang | 90 | China | 47.70% | 473.00 | 81.00% | 56.00% | 67.00% | 73.00% | 0.72 | ROC | 1 [22] |
2017 | Paunovic | 50 | Serbia | 44.00% | 413.00 | – | – | – | – | – | logistic | 1 [23] |
2014 | Glaz | 56 | Poland | 45.00% | 218.43 | 86.60%; | 91.30% | 92.90% | 84.00% | – | ROC | 1 [24] |