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The efficacy of magnesium supplementation for gestational diabetes: A meta-analysis of randomized controlled trials

Liwei Luo, Yu Zhang, Hongman Wang, Danyan Chen, Li Li

European Journal of Obstetrics, Gynecology, and Reproductive Biology, 2023

266 participants · 4 citations

Abstract

BACKGROUND

The efficacy of magnesium supplementation is unclear for the treatment of gestational diabetes. This meta-analysis aimed to study the efficacy of magnesium supplementation for glycemic control and pregnant outcomes in women with gestational diabetes.

METHODS

Several databases including PubMed, EMbase, Web of science, EBSCO, and Cochrane library databases have been systematically searched up to July 2023, and we included randomized controlled trials (RCTs) assessing the efficacy of magnesium supplementation for gestational diabetes. The meta-analysis was performed using the random-effect model or fixed-effect model based on the heterogeneity.

RESULTS

Five RCTs and 266 patients were included in the meta-analysis. Overall, compared with control intervention for gestational diabetes, magnesium supplementation was able to significantly decrease FPG (MD = -7.33 mg/dL; 95 % CI = -7.64 to -7.02 mg/dL; P < 0.00001) and HOMA-IR (MD = -0.99; 95 % CI = -1.76 to -0.22; P = 0.01), but resulted in no obvious impact on serum insulin (MD = -4.17 μIU/mL; 95 % CI = -8.49 to 0.14 μIU/mL; P = 0.06), preterm delivery (OR = 0.42; 95 % CI = 0.06 to 2.95; P = 0.38), macrosomia (OR = 0.34; 95 % CI = 0.08 to 1.35; P = 0.13) or BMI change (MD = -0.01 kg/m2; 95 % CI = -0.06 to 0.04 kg/m2; P = 0.63).

CONCLUSIONS

Magnesium supplementation may be effective for the treatment of gestational diabetes without taking insulin treatment.

How strong is the evidence?

Evidence Hub reads this as a meta-analysis, done in people. Its evidence level is 1 of 5 (Highest · pooled evidence). Pooled evidence from several studies sits at the top of the evidence pyramid. Reported size: 266 participants or records.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

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