Meta AnalysisID 7301
砷对妊娠期糖尿病风险的影响:系统评价与Meta分析
CRD42023461820
The purpose of this systematic review and meta-analysis is to comprehensively review the newly published relationship between arsenic and gestational diabetes.
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Record Fields
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- Meta Analysis Id
- 7301
- Evidence Id
- 15859
- Core Evidence Id
- 15859
- Source Meta Analysis Id
- 7289
- Herb2 Meta Analysis Id
- HBMA007289
- Crd Id
- CRD42023461820
- Title
- Effect of Arsenic on the Risk of Gestational Diabetes Mellitus: Systematic Review and Meta-Analysis
- Review Question
- The purpose of this systematic review and meta-analysis is to comprehensively review the newly published relationship between arsenic and gestational diabetes.
- Study Type Included
- Cross section, case control, cohort, etc.
- Condition Being Studied
- Gestational diabetes is associated with a variety of adverse consequences of the mother and fetus, including pre eclampsia, premature delivery, congenital malformations, fetal intrauterine death, macrosomia, polyhydramnios, and increased likelihood of neonatal hypoglycemia. In addition, GDM mothers and their offspring have a higher risk of type 2 diabetes (DM2) and cardiovascular disease. Recent evidence suggests that arsenic may be a risk factor for its development, but debate still exists.
- Participant
- Pregnant women of different gestational ages have been exposed to arsenic in tap water, food, environment, blood, and hair. Inclusion criteria: The study included the RR estimation of the relationship between arsenic exposure in pregnant women and diabetes in pregnancy (i.e. odds ratio [OR] or hazard ratio [HR] and 95% confidence interval [CI]); Research that reported appropriate information for calculating RR estimates is also included; The research design includes cross sectional, case control, cohort, etc. Exclusion: case report and case series, etc.
- Animal
- Human Disease Modelled
- Intervention
- A case-control study and a prospective cohort study were conducted to assess the impact of maternal arsenic exposure on the risk of diabetes during pregnancy. For each defined result log, the relative risk, size of merge effects (using fixed and random effects models), heterogeneity, and publication bias surveys will be evaluated. Due to the fact that traditional well-known risk factors for GDM, such as maternal age, obesity, lifestyle, and race, cannot clearly explain the prevalence of this disease during pregnancy, people are increasingly interested in the hypothesis that exposure to some environmental pollutants, such as arsenic, may play a role in the development of GDM. Arsenic is a widely present natural pollutant, with over 100 million people exposed to it for a long time, mainly through concentrations exceeding the World Health Organization guidelines limit of 10 μ G/L of contaminated drinking water. This metal seam to lead to pancreatic beta cell dysfunctional trough different mechanisms including oxidative stress, interferences in signal transduction, gene expression and disruption of the growth hormone/insulin like growth factor axis.
- Comparator Control
- Some of the included studies included a non-exposed pregnant population.
- Main Outcome
- Relationship between arsenic and gestational diabetes Measures of effect odds ratios
- Outcome Measure
- Additional Outcome
- Not applicable Measures of effect odds ratios
- Study Method
- Systematic review
- Keyword
- Arsenic; Diabetes, Gestational; Female; Humans; Pregnancy; Publications; Risk Factors
- Contact
- Rui Wu [email protected]
- Organisational Affiliation
- Shenyang Pharmaceutical University https://www.syphu.edu.cn/
- Funding Source
- Other Selection Criteria
- Final Publication
- Same Topic Review
- Published Protocol
- Review Type
- Language
- English
- Country
- China
- Review Stage
- Review Ongoing
- First Submission Date
- 2023-09-08
- Registration Date
- 2023-09-19
- Anticipated Start Date
- 2023-09-10
- Anticipated Completion Date
- 2023-10-31
- Title Cn
- 砷对妊娠期糖尿病风险的影响:系统评价与Meta分析
- Title En
- Effect of Arsenic on the Risk of Gestational Diabetes Mellitus: Systematic Review and Meta-Analysis
- Bilingual Status
- complete