Aims/IntroductionTo explore the relationship between plasma iron levels and gestational diabetes mellitus, as well as its impact on macrosomia.Materials and MethodsWe retrospectively compared ferritin level and other characteristics between pregnant women with gestational diabetes mellitus (GDM) and pregnant women without GDM. The correlation between the levels of plasma ferritin, glucose and hemoglobin was explored. Meanwhile, we assessed the risk factors of macrosomia. Furthermore, we explored the relationship between ferritin level and the incidence of macrosomia.ResultsA total of 793 pregnant women were enrolled in the present study, of which 92 pregnant women had GDM and 701 pregnant women were healthy. Meanwhile, 51 pregnant women gave birth to infants with macrosomia and another 742 women had normal infants. Compared with non‐GDM women, pregnant women with GDM were older, with higher pre‐pregnancy body mass index, plasma ferritin, fasting plasma glucose, 1‐h postprandial glucose, 2‐h plasma glucose and hemoglobin. In addition, our results showed a significant positive correlation between the levels of ferritin and fasting plasma glucose when ferritin levels were >70 ng/mL. Our results also showed that pre‐pregnancy overweight or obesity, a high concentration of ferritin, as well as abnormal levels of fasting plasma glucose, 1‐h plasma glucose and 2 h plasma glucose were risk factors for macrosomia. Furthermore, as the level of ferritin increased, so did the incidence of macrosomia.ConclusionsThe current study provides evidence that pregnant women with high levels of ferritin might be prone to GDM. In addition, a high level of ferritin might be an independent risk factor for macrosomia. Therefore, the negative effect of iron supplementation in non‐anemic pregnant women might be noteworthy.

Aim: To investigate the clinical utility of shear wave elastography (SWE) imaging in the identification of malignant and benign lesions of the liver lesions by conducting a meta-analysis. Material and methods: The Cochrane library, Embase and Pubmed were searched for relevant studies with publication data through February 2016. Studies evaluating the diagnostic accuracy of SWE in the identification of malignant and benign lesions of the liver using SWE technology were selected. The cytology, histology or clinical imaging was used as the reference standard. The pooled sensitivity, specificity, diagnostic odds ratio, likelihood ratio, and the area under hierarchical summary receiver operating characteristic curve (HSROC) were used to examine the diagnostic accuracy. Results: A total of 9 cohort studies involving 1046 liver lesions (malignant 679) from 968 patients were identified. All of the 9 studies were prospective studies. The pooled sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, and diagnostic odds ratio of SWE in differentiating malignant and benign liver lesions were 82.2% (95% CI: 73.4–88.5), 80.2% (95% CI: 73.3–85.7), 4.159 (95% CI: 2.899–5.966), 0.222 (95% CI: 0.140–0.352), and 18.749 (95% CI: 8.746–40.195), respectively. The area under the HSROC curve was 87% (95% CI: 84–90). Conclusions: This meta-analysis indicates that SWE is useful in evaluating the stiffness of liver lesions and in differentiating between malignant and benign lesions. Due to the high sensitivity, specificity, and diagnostic odds ratio, SWE can be considered as a useful complement to conventional ultrasonography.

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