Disease relevance of ROC Curve

• Receiver operating characteristic (ROC) analysis suggests that CK-BB may be useful in distinguishing MC among patients suspected of having CNS metastases, and CK-BB appears superior to total CK, CSF protein, and CSF lactic dehydrogenase (LDH) [1].
• Adding CRP to a coronary disease risk function based on risk factors that are routinely assessed in clinical practice or to the Framingham risk function did not improve the area under the receiver operating characteristic curve of these risk functions [2].
• When diabetic retinopathy was used to define diabetes, ROC curve analyses found that fasting and 2-h glucose values were superior to HbA1c (P < 0.01) [3].
• The area under the receiver operating characteristic curve (AUC) for serum SMRP was 0.872 for differentiating mesothelioma and benign lesions, cut-off = 0.93 nM/L (sensitivity = 80%, specificity = 82.6%) [4].
• We used receiver operating characteristic (ROC) curve analysis to determine the relative performance of different CSF IgG parameters as diagnostic markers for multiple sclerosis [5].

Psychiatry related information on ROC Curve

• Receiver-operating characteristic (ROC) analysis showed that IEF-IB-LD better discriminated between PBC and alcohol abuse than CDTect did [6].
• Receiver operating characteristic analysis showed that Child Behavior Checklist-Nurcombe scores were able to discriminate between subjects with and without major depression with an accuracy comparable to that reported for the Dexamethasone Suppression Test (area under the receiver operating characteristic curve = 0.78) [7].
• The small difference between the ROC curves suggests that forearm BMD used alone can reproduce clinical decision-making with the NOS pDXA algorithm provided that a T-score threshold of T=-2.1 is used for the diagnosis of osteoporosis, instead of the conventional figure of T=-2 [8].
• The 35% CO2 challenge in panic disorder: optimization by receiver operating characteristic (ROC) analysis [9].
• As evaluated by ROC analysis, carbohydrate deficient transferrin was the best biological marker to find men with weekly alcohol consumption over 400 g [10].

High impact information on ROC Curve

• The added value of the APOE genotype was estimated with pretest and post-test probabilities from multivariate analyses to generate receiver-operating-characteristic curves plotting sensitivity against the false positive rate [11].
• MAIN OUTCOME MEASURES--The areas under receiver operating characteristic curves for blood lipids, lipid ratios, the screening guidelines proposed by the National National Cholesterol Education Program, those of the Canadian Consensus Conference on Cholesterol, and a coronary risk model that used Framingham data [12].
• The area under the receiver-operating characteristic curve for MS was 0.82 (compared with 0.52 for CT) indicating that MRI was a good but not definitively accurate test for MS [13].
• Combining the serum CA 125 level with the plasma DNA concentration increased the area under the ROC curve from 0.78 (CA 125 alone) to 0.84 [14].
• Receiver operating characteristic curves indicated that plasma citrulline concentration was the best biological variable to predict villous atrophy [15].

Chemical compound and disease context of ROC Curve

• RESULTS: A model (Hepascore) of bilirubin, gamma-glutamyltransferase, hyaluronic acid, alpha(2)-macroglobulin, age, and sex produced areas under the ROC curves (AUCs) of 0.85, 0.96, and 0.94 for significant fibrosis, advanced fibrosis, and cirrhosis, respectively [16].
• RESULTS: ROC curve analysis showed platelet serotonin to have the highest discriminating capacity, especially in foregut carcinoids [17].
• The initial values of indole markers from patients in whom a carcinoid tumor was confirmed during follow-up (n = 98) were used for ROC analysis [17].
• We used receiver operating characteristic curves to determine whether changes in conventional liver tests, antipyrine clearance, or platelet count were predictive of altered hepatic fibrosis score [18].
• The receiver operating characteristic curves demonstrated that both TNF-alpha and ceramide were prognostic of MODS, but ceramide concentrations were more efficient predictors [19].

Biological context of ROC Curve

• The first four most powerful variables (lactate level, maximal power output, exercise duration, and percentage of maximal predicted heart rate), which are directly representative of the global functional capacity, showed values of 0.777, 0.775, 0.760, and 0.740, respectively, by ROC curve analysis [20].
• Receiver operating characteristic (ROC) curve analysis demonstrated that the hK11:total PSA ratio [area under the curve (AUC), 0.83] and percentage of free PSA (AUC, 0.83) were much stronger predictors of CaP than total PSA (AUC, 0.69) [21].
• The area under the receiver-operating characteristic curve of the final model comprising platelet count, AST/ALT ratio, and INR in the training and validation sets was 0.78 and 0.81, respectively [22].
• OBJECTIVE: We used receiver operating characteristic analyses and standardized differences to compare the ability of these indicators to detect a response to postpartum vitamin A supplementation in lactating Bangladeshi women [23].
• We used the receiver operating characteristic (ROC) curve to characterize the sensitivity and specificity of hemoglobin and EP measurements in screening for iron deficiency, defined as having abnormal values for >or= 2 of the following 3 indexes: mean cell volume, transferrin saturation, and serum ferritin [24].

Anatomical context of ROC Curve

• The area under the ROC curve was 0.58 (P = 0.49) for the absolute neutrophil count, 0.84 (P = 0.007) for soluble Fcgamma receptor III levels, and 0.73 (P = 0.03) for G-CSF levels [25].
• Although the area under the ROC curve for sputum ECP was greater than those for blood eosinophils and serum ECP, the differences could have occurred by chance (p > or = 0.1) [26].
• Summary receiver operating characteristics (ROC) curves indicated a reasonable predictive performance toward IUI outcome, and, at cut-off levels between 0.8 to 5 million motile spermatozoa, the postwash TMC provided a substantial discriminative performance [27].
• RESULTS: Serial estimates of fetal weight resulted in a significantly larger area under the ROC curve compared with the final aortic-middle cerebral PI ratio in the prediction of an abnormal mid-arm circumference-HC ratio and compared with the final AC, EFW, and umbilical artery PI in the prediction of all neonatal morphometric indices [28].
• Using ROC analysis, fertilization in IVF (mature oocytes only) was compared to performance of the sperm in the sperm-zona pellucida binding test as expressed by hemizona index (HZI; [number of test sperm bound/number of control sperm bound] x 100) [29].

Associations of ROC Curve with chemical compounds

• Future studies should use receiver operating characteristic methods to select cortisol cutoffs and to assess the test's overall performance [30].
• Maximizing diagnostic information from the dexamethasone suppression test. An approach to criterion selection using receiver operating characteristic analysis [30].
• In neither the cross-sectional nor the prospective data did the area under the receiver operating characteristic curve for HbA1 differ significantly from that for fasting or 2-h plasma glucose (p > 0.05 for each).(ABSTRACT TRUNCATED AT 250 WORDS)[31]
• In Child-Pugh C patients, the ROC curve was significantly better for cystatin C than for creatinine [32].
• Creatine kinase MB, serial ECGs, and ExECG each made a contribution to improved sensitivity and accuracy, whereas clinical reassessments were less discriminating, as indicated by protocol's receiver operating characteristic curve [33].

Gene context of ROC Curve

• Patients with 23% or fewer HLA-G-positive cells (according to receiver operating characteristics [ROC] analysis; designated as HLA-G-negative group) had a significantly longer progression-free survival (PFS) time than patients with more than 23% positive cells (median PFS: 120 versus 23 months; P = .0001) [34].
• When the cut-off level was defined as 60 ng/mL from a receiver operating characteristic curve, plasma MMP-9 concentrations had a sensitivity of 53% and a specificity of 89% for the detection of HCC from CH and LC [35].
• Non-parametric correlation analysis and receiver operating characteristics curves show that MMP-2, MMP-7, and TIMP-1 provide the best discrimination between cirrhosis and pre-cirrhotic stages [36].
• Receiver-operating characteristic curve analysis demonstrated that acute rejection can be predicted with a sensitivity of 100% and a specificity of 78% using the (log-transformed) cutoff value of 9.11 copies of IP-10, and with a sensitivity of 63% and a specificity of 83% using the cutoff value of 11.59 copies of CXCR3 [37].
• Calculation of receiver-operator-characteristic (ROC) curves were performed for hK2, [hK2] x [tPSA/fPSA] and tPSA to compare diagnostic performance [38].

Analytical, diagnostic and therapeutic context of ROC Curve

• According to a receiver operating characteristic curve analysis, the prognostic index predicting death showed an improvement in area under the curve when compared with a prognostic index calculated excluding aminopyrine breath test, but the improvement did not reach statistical significance (p = 0.12) [39].
• Optimizing REM latency as a diagnostic test for depression using receiver operating characteristic analysis and information theory [40].
• Liver lesions: manganese-enhanced MR and dual-phase helical CT for preoperative detection and characterization comparison with receiver operating characteristic analysis [41].
• Test performances of all DMSA methods and SPECT versus planar DMSA were analyzed using summary receiver operating characteristic (sROC) curves [42].
• METHODS: Using existing data from 2 published clinical trials, we used a resampling method to statistically introduce 5%, 10%, and 20% imprecision to results for B-type natriuretic peptide (BNP) and cardiac troponin I (cTnI) and examined its impact on ROC curve analysis [43].

References