<p>Proposed candidate biomarkers better predicted relapse-free survival (p = 0.01191) <b>(A)</b> as compared to AFP (P = 0.1987) <b>(B)</b>. With respect to the discriminating ability of proposed biomarkers, long rank equal curve showed statistically significant p-value (<0.05) for HCC p = 0.02361 while for cirrhotic liver p-value was 0.1985 (which not significant) (<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0138913#pone.0138913.g009" target="_blank">Fig 9A and 9B</a>).</p
<p>Results were shown for single proteins (A, C) and multi-marker models (B, D).</p
(A) MM Status, (B) Responders (C) change in (Δ) QMG score (>40% vs ≤ 0%) and (D) change in (Δ) MG-AD...
<p>The score performance was assessed by calculating the area under the ROC (AUROC) which was 0.861 ...
<p>With respect to HCC, the candidate biomarkers showed statistically significant relation (p = 0.02...
A. ROC curves of the 3-month mortality prediction among the three scores (n = 811). The AUC were 0.7...
<p>Values along the indicated diagonal line (<i>line of no-discrimination</i>) reflect a random gues...
<p>The areas under the curve (AUC), 95% Confidence Interval (95% CI) and p value for each analyte ar...
Ic (ROC) curve analysis. In figures 2A and 2B, corresponding to AFP and PIVKAII, the area under the ...
<p>(A) ROC curve based on the metabolomics scores evolution values (AUC 0.85; p<0.05, 95% CI 0.68–1)...
Ic (ROC) curve analysis. In figures 2A and 2B, corresponding to AFP and PIVKAII, the area under the ...
<p>The optimal cutoff values for each plasma biomarker level and the severity scores are presented. ...
<p>Performance of the biomarkers listed in <a href="http://www.plosone.org/article/info:doi/10.1371/...
<p>Fig 5a. ROC curves for different biomarkers and PSI. Fig 5b. ROC curves for the PSI & MR-proADM p...
<p>SurvExpress analysis showed the results from liver hepatocellular carcinoma dataset using TCGA RN...
<p>Receiver Operating Characteristic (ROC) curves show the relationship between true-positive (Sensi...
<p>Results were shown for single proteins (A, C) and multi-marker models (B, D).</p
(A) MM Status, (B) Responders (C) change in (Δ) QMG score (>40% vs ≤ 0%) and (D) change in (Δ) MG-AD...
<p>The score performance was assessed by calculating the area under the ROC (AUROC) which was 0.861 ...
<p>With respect to HCC, the candidate biomarkers showed statistically significant relation (p = 0.02...
A. ROC curves of the 3-month mortality prediction among the three scores (n = 811). The AUC were 0.7...
<p>Values along the indicated diagonal line (<i>line of no-discrimination</i>) reflect a random gues...
<p>The areas under the curve (AUC), 95% Confidence Interval (95% CI) and p value for each analyte ar...
Ic (ROC) curve analysis. In figures 2A and 2B, corresponding to AFP and PIVKAII, the area under the ...
<p>(A) ROC curve based on the metabolomics scores evolution values (AUC 0.85; p<0.05, 95% CI 0.68–1)...
Ic (ROC) curve analysis. In figures 2A and 2B, corresponding to AFP and PIVKAII, the area under the ...
<p>The optimal cutoff values for each plasma biomarker level and the severity scores are presented. ...
<p>Performance of the biomarkers listed in <a href="http://www.plosone.org/article/info:doi/10.1371/...
<p>Fig 5a. ROC curves for different biomarkers and PSI. Fig 5b. ROC curves for the PSI & MR-proADM p...
<p>SurvExpress analysis showed the results from liver hepatocellular carcinoma dataset using TCGA RN...
<p>Receiver Operating Characteristic (ROC) curves show the relationship between true-positive (Sensi...
<p>Results were shown for single proteins (A, C) and multi-marker models (B, D).</p
(A) MM Status, (B) Responders (C) change in (Δ) QMG score (>40% vs ≤ 0%) and (D) change in (Δ) MG-AD...
<p>The score performance was assessed by calculating the area under the ROC (AUROC) which was 0.861 ...