Showing 2 results for Gestational Diabetes
M Amini, A Kazemnejad, F Zayeri, A Amirian, N Kariman,
Volume 16, Issue 1 (6-2020)
Abstract
Background and Objectives: Gestational diabetes mellitus (GDM) is a medical problem in pregnancy, and its late diagnosis can cause adverse effects in the mother and fetus. The purpose of this research was to estimate the accuracy parameters of a biomarker for early prediction of gestational diabetes in the absence of a perfect reference standard test.
Methods: This study was conducted in 523 pregnant women who presented to Mahdieh Hospital and Taleghani Hospital affiliated with Shahid Beheshti University of Medical Sciences, Tehran, Iran 2017-2018. As a predictor for detecting GDM, beta- human chorionic gonadotropin (β-hCG) measurements were recorded during 14-17th weeks’ gestation in a checklist. The Bayesian latent variable model was used to estimate the sensitivity, specificity, and area under receiver operating characteristic curve (AUC). Bayesian parameter estimation was calculated using the R2OpenBUGS package in R version 3.5.3.
Results: The median gestational age was 33 years. In the absence of a perfect reference test, the applied model had a sensitivity, specificity, and AUC of 78% (95% credible interval (CrI): 0.66-0.83), 83% (95% CrI: 0.74-0.89), and 0.72 (95% CrI: 0.64-0.88) for β-hCG, respectively.
Conclusion: According to the results of this study, β-hCG may be an acceptable biomarker for early diagnosis of diabetes in pregnant women in the absence of a perfect reference test.
R Bayrami, R Latifnejad Roudsari ,
Volume 16, Issue 3 (11-2020)
Abstract
Background and Objectives: The results of cohort studies could be used in evidence-based medicine in case they have a good quality and robust methodology. Therefore, this study was conducted to assess the quality of cohort studies investigating preconception risk factors of gestational diabetes.
Methods: In this cross-sectional study, the cohort studies investigating the preconception risk factors of gestational diabetes during 2008-2018 indexed in PubMed, Scopus and Science Direct were searched. Keywords used for search included cohort study, pre pregnancy, preconception, risk factor and gestational diabetes. Out of 312 retrieved articles, 26 were critically appraised using the STROBE checklist. The maximum and minimum score that each article could obtain was 34 and 0, respectively. Data were analyzed using SPSS version 16.
Results: Of 26 articles that were reviewed, the overall agreement rate with STROBE was 78.8%. Of these, 18 articles (69/23%) were rated as moderate and eight articles (30.76%) were graded as good quality. The method and result sections were the weakest parts of the published articles.
Conclusion: The quality of the reported cohort studies investigating preconception risk factors of gestational diabetes is not optimal. It is recommended that chief editors, reviewers, and authors as well as obstetricians and midwives use the STROBE criteria to appraise articles critically, before using their findings in clinical practice.
