<p>The figure shows an ROC curve for HbA<sub>1c</sub> (continuous) to discriminate subjects with pre-diabetes (impaired FPG ≥5.6 mmol/l). The area under the curve value was AUC: 0.668, (95% CI: 0.627–0.710).</p
The ROC curves show the same optimal cut-point of HbA1c of 5.75% (39.3 mmol/mol) for diagnosing dysg...
<p>Receiver operator curve and area under the curve (AUC) 95% CI. The area under the ROC for FBG-1 (...
<p>Blue Line—HbA1c <i>vs</i> WHO 1999 N = 262, Red line—HbA1c <i>vs</i> ADA/WHO 2013* N = 142. * Aft...
<p>The figure shows an ROC curve for HbA<sub>1c</sub> (continuous) to discriminate subjects with typ...
<p>Receiver operating characteristic (ROC) curve for identifying undiagnosed diabetes (A and B) and ...
<p>Receiver operating characteristics (ROC) curves for FPG, 2-h PG and HbA<sub>1</sub>c measures for...
<p>AUC, area under the receiver operating characteristic curve; CI, confidence interval; HDL, high-d...
<p>The area under the receiver operating characteristic curve (AUC) for clinical characteristics (ag...
<p>Figures show ROC curves for a model including BMI and a model including BMI and Rib/height ratio....
<p>ROC curves for detecting individually each metabolic syndrome criteria. The small circles indicat...
<p>Figure 1a area under curve = 0.85, sensitivity = 80%, and specificity = 77%. Figure 1b area under...
<p>Receiver operating characteristic (ROC) curve plots for TG-AUC predicting diabetes risk.</p
<p>Receiver-operating characteristic curve using clinical factors (age, sex, and body mass index) (b...
Performances of HbA1c corresponding with dysglycaemia, and screen-detected diabetes among the partic...
<p>The graphs only show glycaemic biomarkers (FPG and HbA1c), and the non-glycaemic biomarker, alani...
The ROC curves show the same optimal cut-point of HbA1c of 5.75% (39.3 mmol/mol) for diagnosing dysg...
<p>Receiver operator curve and area under the curve (AUC) 95% CI. The area under the ROC for FBG-1 (...
<p>Blue Line—HbA1c <i>vs</i> WHO 1999 N = 262, Red line—HbA1c <i>vs</i> ADA/WHO 2013* N = 142. * Aft...
<p>The figure shows an ROC curve for HbA<sub>1c</sub> (continuous) to discriminate subjects with typ...
<p>Receiver operating characteristic (ROC) curve for identifying undiagnosed diabetes (A and B) and ...
<p>Receiver operating characteristics (ROC) curves for FPG, 2-h PG and HbA<sub>1</sub>c measures for...
<p>AUC, area under the receiver operating characteristic curve; CI, confidence interval; HDL, high-d...
<p>The area under the receiver operating characteristic curve (AUC) for clinical characteristics (ag...
<p>Figures show ROC curves for a model including BMI and a model including BMI and Rib/height ratio....
<p>ROC curves for detecting individually each metabolic syndrome criteria. The small circles indicat...
<p>Figure 1a area under curve = 0.85, sensitivity = 80%, and specificity = 77%. Figure 1b area under...
<p>Receiver operating characteristic (ROC) curve plots for TG-AUC predicting diabetes risk.</p
<p>Receiver-operating characteristic curve using clinical factors (age, sex, and body mass index) (b...
Performances of HbA1c corresponding with dysglycaemia, and screen-detected diabetes among the partic...
<p>The graphs only show glycaemic biomarkers (FPG and HbA1c), and the non-glycaemic biomarker, alani...
The ROC curves show the same optimal cut-point of HbA1c of 5.75% (39.3 mmol/mol) for diagnosing dysg...
<p>Receiver operator curve and area under the curve (AUC) 95% CI. The area under the ROC for FBG-1 (...
<p>Blue Line—HbA1c <i>vs</i> WHO 1999 N = 262, Red line—HbA1c <i>vs</i> ADA/WHO 2013* N = 142. * Aft...
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