Analysis of diagnostic accuracy through the construction of ROC curves is recommended for the determination of the best
cutoff points that can discriminate health problems in tests alternative to the gold standard (51).
To determine the significant
cutoff point in CSF LDH level to diagnose SAH, we used receiver operating characteristic curve.
Our previous cross-sectional study proposed an HbA1c
cutoff point of 6.3% to diagnose diabetes and 5.9% to diagnose prediabetes in Chinese adults [10].
Secondly, the
cutoff points differed among the studies.
One of the purposes of this study was to determine the predictive power and establish the
cutoff points of anthropometric indicators for the prediction of hypertension.
Finally, we gave two groups of optimal
cutoff points (0.07 and 1.33) and (−0.04 and 1.30), and divided the risk score into three groups as low-, moderate-, and high-risk group.
ROC curves were drawn for the diagnostic sensitivity and specificity of endometrial cancer based on different
cutoff points of HE4 and CA125 (Fig.1).
(4) They propose a methodology for the identification of optimal
cutoff points which outperforms the Farrar method and the EMGO method.
The IDS for detecting somewhat DI and DI were represented by different
cutoff points. The area under the receiving operating characteristic (ROC) curve of the somewhat DI and DI was 1.0, as shown in Figures1and2.
To determine the optimal BUN
cutoff points for SAP and IHM, Youden Index, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated for the different BUN
cutoff points.
The suggested NC
cutoff points in children varies among studies and some differences might be related to ethnicity and lack of standardization of the anatomical site used for measurement.