scholarly journals A Comparison of the Changes in Gestational Weight, Body Mass Index, and Serum Vitamin D Level in Gestational Diabetes Mellitus Patients Complemented with Vitamin D in Contrast to Those Who Did Not Receive the Supplement: A Protocol for Systematic Review and Meta-Analysis of Randomised Controlled Trials

2019 ◽  
Vol 25 (3-4) ◽  
pp. 74-79 ◽  
Author(s):  
Sumanta Saha ◽  
Sujata Saha
Keyword(s):  
Diabetes Mellitus ◽  
Systematic Review ◽  
Body Mass Index ◽  
Vitamin D ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Body Mass ◽  
Meta Analysis ◽  
Gestational Weight ◽  
Statistical Heterogeneity

<b><i>Aims:</i></b> To date, it is largely unknown how body mass index (BMI), gestational weight (GW), and stored vitamin D (25(OH)D) levels change in the vitamin D-supplemented gestational diabetes mellitus (GDM) patients, irrespective of their pre-pregnancy BMI. Therefore, to study this association, a prospective systematic review and meta-analysis protocol is proposed here. <b><i>Methods:</i></b> Primarily, different databases (PubMed, Embase and Scopus) will be searched (without any limitation to date or language) for randomised parallel-arm trials comparing GW, BMI and stored vitamin D level in the body among GDM patients who were supplemented and not supplemented with vitamin D, besides their conventional GDM care. The study selection process and the consecutive risk of bias assessment will adhere to the PRISMA 2009 flow chart and the Cochrane collaboration’s guideline, respectively. These interventions’ effect on the respective outcomes will be compared by meta-analysis (along with an assessment of the statistical heterogeneity) when comparable data will be available from at least 4 studies. Subgroup analysis and Egger’s meta-regression will follow if an adequate number of trials are available. Narrative reporting will be considered when a quantitative comparison is not feasible for any of the outcomes. <b><i>Conclusion:</i></b> The proposed review aims to compare the BMI, GW, and 25(OH)D levels in the blood between the vitamin D supplemented and not supplemented GDM patients.

The effect of prepregnancy body mass index on the risk of gestational diabetes mellitus: A systematic review and dose‐response meta‐analysis

2018 ◽  
Vol 20 (3) ◽  
pp. 472-486 ◽  
Author(s):  
Farid Najafi ◽  
Jalil Hasani ◽  
Neda Izadi ◽  
Seyed‐Saeed Hashemi‐Nazari ◽  
Zahra Namvar ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Systematic Review ◽  
Body Mass Index ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Body Mass ◽  
Dose Response ◽  
Meta Analysis ◽  
Prepregnancy Body Mass Index

scholarly journals Effects of Vitamin D Deficiency on Incidence Risk of Gestational Diabetes Mellitus: A Systematic Review and Meta-analysis

2018 ◽  
Vol 9 ◽  
Author(s):  
Mansour Amraei ◽  
Safoura Mohamadpour ◽  
Kourosh Sayehmiri ◽  
Seyedeh Fatemeh Mousavi ◽  
Ehsan Shirzadpour ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Systematic Review ◽  
Vitamin D ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Vitamin D Deficiency ◽  
Meta Analysis ◽  
Incidence Risk

scholarly journals Efficacy of vitamin D supplementation in gestational diabetes mellitus: Systematic review and meta-analysis of randomized trials

PLoS ONE ◽  
2019 ◽  
Vol 14 (3) ◽  
pp. e0213006 ◽  
Author(s):  
Meline Rossetto Kron Rodrigues ◽  
Silvana Andréa Molina Lima ◽  
Glaucia Maria Ferreira da Silvia Mazeto ◽  
Iracema Mattos Paranhos Calderon ◽  
Claudia Garcia Magalhães ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Systematic Review ◽  
Vitamin D ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Randomized Trials ◽  
Meta Analysis ◽  
Vitamin D Supplementation

scholarly journals The role of obesity and overweight as a factor of gestational diabetes mellitus: a systematic review

2015 ◽  
Vol 64 (5) ◽  
pp. 87-95 ◽  
Author(s):  
Roman Victorovich Kapustin ◽  
Ol’ga Nikolaevna Arzhanova ◽  
Olesya Nikolaevna Bespalova ◽  
Vladimir Stepanovich Pakin ◽  
Andrey Gennadievich Kiselev
Keyword(s):  
Diabetes Mellitus ◽  
Systematic Review ◽  
Body Mass Index ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Pregnant Women ◽  
Body Mass ◽  
Odds Ratio ◽  
Excess Weight

Objective: on the basis of a systematic review, clarify the role of overweight and obesity as a predictor of gestational diabetes mellitus (GDM). Materials and methods: an analysis of the literature data of the leading bibliographic sources - MEDLINE, Cochrane col., EMBASE. To evaluate the body mass index and standards of weight gain during pregnancy used the WHO guidelines and criteria of the Institute of Medicine (2009). The frequency and the odds ratio (OR) of developing GDM was estimated separately for each of the three groups in BMI. Results: A systematic review included 23 different design studies involving 740 510 women. It was found that the odds ratio of the risk of GDM in a group of pregnant women with excess weight is doubled - 2.22 (95 % CI 1.72 - 3.64), and almost four in obesity - 3.88 (95 % CI 2.97 - 5.32). The incidence of GDM in a group of pregnant women with normal body mass index - 3.77 % in the group with excess body weight - 6.59 %, in the group with obesity - 9.88 %. Conclusions: The obtained strong evidence of a direct connection between the linear increase in maternal BMI and the risk of developing gestational diabetes. Pregnant women with excess weight and obesity are at high risk for carbohydrate disorders during pregnancy.

scholarly journals Association between Gene Polymorphisms of Vitamin D Receptor and Gestational Diabetes Mellitus: A Systematic Review and Meta-Analysis

2020 ◽  
Vol 18 (1) ◽  
pp. 205
Author(s):  
Qian Zhou ◽  
Shiwu Wen ◽  
Miao Liu ◽  
Sulei Zhang ◽  
Xin Jin ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Systematic Review ◽  
Vitamin D ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Vitamin D Receptor ◽  
Odds Ratio ◽  
Meta Analysis ◽  
Receptor Gene ◽  
Vitamin D Receptor Gene

(1) Background: Studies on the association between Vitamin D receptor gene polymorphism and gestational diabetes mellitus have been inconsistent. The aim of this study was to summarize available evidence on the association between polymorphisms of Vitamin D receptor genes and susceptibility to gestational diabetes mellitus. (2) Methods: We searched databases of PubMed, Web of Science, Embase, China national knowledge infrastructure (CNKI), China science and technology journal database (VIP), and Wanfang Data for relevant articles. A systematic review and a meta-analysis were done to compare the distribution of Vitamin D receptor gene polymorphisms in gestational diabetes mellitus patients with those in controls using allelic, codominant, dominant, and recessive models. (3) Results: A total of eight eligible articles were included in the systematic review and of them, six articles were included in the meta-analysis. The vitamin D receptor gene rs7975232 polymorphism was associated with gestational diabetes mellitus under the allelic model (odds ratio = 1.28, 95% confidence interval 1.06–1.56), codominant model (CC vs. AA odds ratio = 1.97, 95% confidence interval 1.28–3.05), and recessive model (odds ratio = 1.83, 95% confidence interval 1.27–2.64) in the case of low heterogeneity. High heterogeneity existed in studies on the association of vitamin D receptor genes rs1544410, rs2228570, and rs731236 with gestational diabetes mellitus, and the most common sources of heterogeneity were the year of publication and matching. (4) Conclusion: Polymorphism of the vitamin D receptor gene rs7975232 may be associated with risk of developing gestational diabetes mellitus. Future studies should be designed to include standardized data collection and matching for important confounding factors such as body mass index, age, and race.

Sign in / Sign up

Export Citation Format

Share Document