<p>ROC analyses were repeated using serial cut-off data for GA/A1c ratio and FCPR index, and the greatest AUC of 0.7665 for GA/A1c ratio (closed triangles) and of 0.8504 for FCPR index (closed squares) was obtained when the cut-off values were set at 2.8 and 3.0, respectively. ROC analysis simultaneously using a GA/A1c ratio of 2.8 and FCPR index of 3.0 to predict glycaemic fluctuations yielded an AUC of 0.9154 (open circles).</p
<p>The graphs only show glycaemic biomarkers (FPG and HbA1c), and the non-glycaemic biomarker, alani...
<p>ROC curves for detecting individually each metabolic syndrome criteria. The small circles indicat...
<p>Representative ROC curve analysis AUC plots performed for different CSF N-glycan structures (ANOV...
<p>Receiver operating characteristic (ROC) curve plots for TG-AUC predicting diabetes risk.</p
Areas under the curve (AUC) and 95% confidence intervals (CIs) from receiver-operator characteristic...
<div><p>(A) The ROC analysis for distinguishing between GC and control subjects using an N-glycan ma...
<p>ROC, receiver operating characteristic; FPG, fasting plasma glucose; HbA1c, glycated haemoglobin ...
<p>Abbreviation: FPG, fasting plasma glucose. In the delivation cohort, the area under the ROC (95% ...
<p>. Furthermore, the difference between each area under ROC (AUROC) was calculated with p value pro...
<p>Receiver operating characteristics (ROC) curves for FPG, 2-h PG and HbA<sub>1</sub>c measures for...
Blood glucose variability is known to be associated with increased risk of long-term complications. ...
<p>ROC curves showing the optimal <sub>p</sub>VO<sub>2peak</sub> cut-off point for metabolic syndrom...
(A) ROC curve for predicting insulin resistance in all subjects. (B) ROC curve for predicting insuli...
<p>For GRACE score alone, the area under the curve (AUC) was 0.749 (95% CI: 0.707–0.787). When RDW w...
AUC value (0.708) of prealbumin was larger than either 1/APR (0.664) or albumin (0.651). The optimal...
<p>The graphs only show glycaemic biomarkers (FPG and HbA1c), and the non-glycaemic biomarker, alani...
<p>ROC curves for detecting individually each metabolic syndrome criteria. The small circles indicat...
<p>Representative ROC curve analysis AUC plots performed for different CSF N-glycan structures (ANOV...
<p>Receiver operating characteristic (ROC) curve plots for TG-AUC predicting diabetes risk.</p
Areas under the curve (AUC) and 95% confidence intervals (CIs) from receiver-operator characteristic...
<div><p>(A) The ROC analysis for distinguishing between GC and control subjects using an N-glycan ma...
<p>ROC, receiver operating characteristic; FPG, fasting plasma glucose; HbA1c, glycated haemoglobin ...
<p>Abbreviation: FPG, fasting plasma glucose. In the delivation cohort, the area under the ROC (95% ...
<p>. Furthermore, the difference between each area under ROC (AUROC) was calculated with p value pro...
<p>Receiver operating characteristics (ROC) curves for FPG, 2-h PG and HbA<sub>1</sub>c measures for...
Blood glucose variability is known to be associated with increased risk of long-term complications. ...
<p>ROC curves showing the optimal <sub>p</sub>VO<sub>2peak</sub> cut-off point for metabolic syndrom...
(A) ROC curve for predicting insulin resistance in all subjects. (B) ROC curve for predicting insuli...
<p>For GRACE score alone, the area under the curve (AUC) was 0.749 (95% CI: 0.707–0.787). When RDW w...
AUC value (0.708) of prealbumin was larger than either 1/APR (0.664) or albumin (0.651). The optimal...
<p>The graphs only show glycaemic biomarkers (FPG and HbA1c), and the non-glycaemic biomarker, alani...
<p>ROC curves for detecting individually each metabolic syndrome criteria. The small circles indicat...
<p>Representative ROC curve analysis AUC plots performed for different CSF N-glycan structures (ANOV...