<p>Evaluation of serum samples from 50 MS patients (right column) and 56 healthy controls (left column) against MAP2694 recombinant protein by the AUC-ROC test. The horizontal blue line highlights the cut-off value(s) which gives a specificity of 25%. Data are presented as OD values observed in ELISA. Area under curve (AUC) = 0,686; P = 0,0003.</p
<p>Cut-point – minimum (maximum for prolactin) value (pg/ml) for diagnosis as case at 95% specificit...
<p>Fig 5 shows the combined ROC curves generated for the IgG index and the sCD163 ratio (5a), the CX...
<p>AUC denotes area under curve; SE, standard error; CI, confidence intervals.</p
<p>AUC values and 95% confidence intervals for F9 (green), CXCL13 (red), C9 (blue), FCN2 (purple) we...
<p>The sensitivity and specificity for each clinical outcome were plotted (A–F). Accuracy was measur...
<p><b>A.</b> The ROC curve showed high concordance between the ELISA and IP assay (area under the cu...
<p>The OD450 values of 377 confirmed sera obtained from peptide ELISA were compared with the CIEP re...
The ROC curve obtained from antigens rLci1 (A), rLci2 (B), rLci4 (C), rLci5 (D), rLci8 (E), rLci12 (...
<p>The areas under the ROC curve (AUCs) for the CIRP level, the APACHE II score, the SOFA score, the...
<p>The sensitivity and specificity were 78.8% and 73.8% at the cutoff level of 46.2 ng/mL. The area ...
The AUC (A) analyzing active MMP-2/Pro-MMP-2 ratio with a cutoff value of 0.11 illustrates perfect d...
<p>AUC, with 95% CI, is given for each parameter. The parameter results for patients with MS/CIS are...
Fig. 1. ROC curves constructed from initial results by RIA (---) and EUSA (-) for 109 blood donors w...
<p>The curves were used to determine the ELISA cut-off, sensitivity, specificity and AUC. <sup>*</su...
The AUC and cut-off OD values of ELISA methods performed with rK39 and rK28 recombinant antigens usi...
<p>Cut-point – minimum (maximum for prolactin) value (pg/ml) for diagnosis as case at 95% specificit...
<p>Fig 5 shows the combined ROC curves generated for the IgG index and the sCD163 ratio (5a), the CX...
<p>AUC denotes area under curve; SE, standard error; CI, confidence intervals.</p
<p>AUC values and 95% confidence intervals for F9 (green), CXCL13 (red), C9 (blue), FCN2 (purple) we...
<p>The sensitivity and specificity for each clinical outcome were plotted (A–F). Accuracy was measur...
<p><b>A.</b> The ROC curve showed high concordance between the ELISA and IP assay (area under the cu...
<p>The OD450 values of 377 confirmed sera obtained from peptide ELISA were compared with the CIEP re...
The ROC curve obtained from antigens rLci1 (A), rLci2 (B), rLci4 (C), rLci5 (D), rLci8 (E), rLci12 (...
<p>The areas under the ROC curve (AUCs) for the CIRP level, the APACHE II score, the SOFA score, the...
<p>The sensitivity and specificity were 78.8% and 73.8% at the cutoff level of 46.2 ng/mL. The area ...
The AUC (A) analyzing active MMP-2/Pro-MMP-2 ratio with a cutoff value of 0.11 illustrates perfect d...
<p>AUC, with 95% CI, is given for each parameter. The parameter results for patients with MS/CIS are...
Fig. 1. ROC curves constructed from initial results by RIA (---) and EUSA (-) for 109 blood donors w...
<p>The curves were used to determine the ELISA cut-off, sensitivity, specificity and AUC. <sup>*</su...
The AUC and cut-off OD values of ELISA methods performed with rK39 and rK28 recombinant antigens usi...
<p>Cut-point – minimum (maximum for prolactin) value (pg/ml) for diagnosis as case at 95% specificit...
<p>Fig 5 shows the combined ROC curves generated for the IgG index and the sCD163 ratio (5a), the CX...
<p>AUC denotes area under curve; SE, standard error; CI, confidence intervals.</p