Editorial
Pages: 1 - 2Andrew Dellinger and Herbert Pang
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DOI: 10.4172/2155-6180.S7-e001
Research Article
Pages: 1 - 6DOI:
Objective: To compare the accuracy measures of the random glucose test and the 50-g glucose challenge test as screening tests for gestational diabetes mellitus (GDM).
Research Design and Methods: In this prospective cohort study, pregnant women without preexisting diabetes in two perinatal centers in the Ebonyi State underwent a random glucose test and a 50-g glucose challenge test between 24 and 28 weeks of gestation. If one of the screening tests exceeded predefined threshold values, the 75-g oral glucose tolerance test (OGTT) was performed within 1 week. Furthermore, the OGTT was performed in a random sample of women in whom both screening tests were normal. GDM was considered present when the OGTT (reference test) exceeded predefined threshold values. Receiver operating characteristic (ROC) analysis was used to evaluate the performance of the two screening tests. The results were corrected for verification bias. Results: We included 1,301 women. The OGTT was performed in 322 women. After correction for verification bias, the random glucose test showed an area under the ROC curve of 0.69 (95% CI 0.61– 0.78), whereas the glucose challenge test had an area under the curve of 0.88 (0.83– 0.93). There was a significant difference in area under the curve of the two tests of 0.19 (0.11– 0.27) in favor of the 50-g glucose challenge test. Conclusions: In screening for GDM, the 50-g glucose challenge test is more useful than the random glucose test.Review Article
Pages: 1 - 8José Antonio Roldán Nofuentes, Juan de Dios Luna Del Castillo and Miguel Angel Montero Alonso
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Sensitivity and specificity are classic parameters to assess and to compare the precision of binary diagnostic tests in relation to a gold standard. Another parameter to assess and to compare the performance of binary diagnostic tests is the weighted kappa coefficient, which is a measure of the beyond-chance agreement between the binary diagnostic test and the gold standard, and it is a function of the sensitivity and the specificity of the diagnostic test, the disease prevalence and the relative loss between the false positives and the false negatives. In this study, we carry out a review of the weighted kappa coefficient, its estimation for a single diagnostic test and the hypothesis tests to compare the
weighted kappa coefficients of two or more diagnostic tests, both when the gold standard is applied to all of the subjects in a random sample and when the gold standard is only applied to a subset of subjects in a random sample. The results were applied to different examples.Research Article
Pages: 1 - 3Erika F. Werner, Sarahn Wheeler and Irina Burd
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Research Article
Pages: 1 - 7DOI:
Research Article
Pages: 1 - 8Zhuo Zhang, Chee Keong Kwoh, Jiang Liu, Carol Yim Lui Cheung, Tin Aung and Tien Yin Wong
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Research Article
Pages: 1 - 5Ricardo Bou, Conso Merino, Ignacio Rodriguez, Fany Hervás, Aurora Amorós and Belen Viñals
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Research Article
Pages: 1 - 5DOI:
Journal of Biometrics & Biostatistics received 3496 citations as per Google Scholar report