Correction to: Anthropometric and metabolic indices in assessment of type and severity of dyslipidemia

Abstract After the publication of this work [1] an error was noticed in one of the formulas

Additional file 1: Figure S1. of Anthropometric and metabolic indices in assessment of type and severity of dyslipidemia

Enrolment flowchart of the study population. Two hundred seventy-five participants visited the free health camps. Thirty-seven participants were excluded because of HCV diagnosis (n=5), Postprandial state (n=30) and diabetes (n=2). The final group sample consisted of 238 participants. Figure S2: Venn-Diagram displays overlaps between prevalence of TG, high-LDL, and low-HDL levels in the dyslipidemic population. Figure S3: Receiver operating characteristic (ROC) curve analysis to determine the predictive capability of different anthropometric/metabolic parameters for identification of (a) overall dyslipidemia (irregularity in the plasma levels of HDL, LDL, or triglycerides, (b) low-HDL levels, (c) high-LDL, and (d) high-TG. (PPT 370 kb

Additional file 2: Table S1. of Anthropometric and metabolic indices in assessment of type and severity of dyslipidemia

Clinical and metabolic characteristics of the study population. Table S2: Criteria for the determination of plasma lipoprotein/ lipid abnormality status. Table S3: Areas under ROC curves (AUC) and 95% confidence intervals (CI) for various anthropometric/metabolic parameters in predicting the incidence of overall dyslipidemia or different types of dyslipidemias. Results are represented as AUC (95% CI). (DOC 795 kb