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Review
. 2023 Apr 19;15(1):76.
doi: 10.1186/s13098-023-01010-3.

Effect of vitamin D supplementation on type 2 diabetes biomarkers: an umbrella of interventional meta-analyses

Affiliations
Review

Effect of vitamin D supplementation on type 2 diabetes biomarkers: an umbrella of interventional meta-analyses

Vali Musazadeh et al. Diabetol Metab Syndr. .

Abstract

Background: Vitamin D supplementation exerts several supporting effects on improving glycemic status, however, results are inconclusive. Thus, in the present study, we aimed to conduct an umbrella of meta-analysis regarding the impact of vitamin D on type 2 diabetes (T2DM) biomarkers.

Methods: The Scopus, PubMed, Web of Science, Embase, and Google Scholar online databases were searched up to March 2022. All meta-analyses evaluating the impact of vitamin D supplementation on T2DM biomarkers were considered eligible. Overall, 37 meta-analyses were included in this umbrella meta-analysis.

Results: Our findings indicated that vitamin D supplementation significantly decreased fasting blood sugar (FBS) (WMD = - 3.08; 95% CI: - 3.97, - 2.19, p < 0.001, and SMD = - 0.26; 95% CI: - 0.38, - 0.14, p < 0.001), hemoglobin A1c (HbA1c) (WMD = - 0.05; 95% CI: - 0.10, - 0.01, p = 0.016, and SMD = - 0.16; 95% CI: - 0.27, - 0.05, p = 0.004), insulin concentrations (WMD = - 2.62; 95% CI: - 4.11, - 1.13; p < 0.001, and SMD = - 0.33; 95% CI: - 0.56, - 0.11, p = 0.004), and homeostatic model assessment for insulin resistance (HOMA-IR) (WMD = - 0.67; 95% CI: - 1.01, - 0.32, p < 0.001, and SMD = - 0.31; 95% CI: - 0.46, - 0.16, p < 0.001).

Conclusion: This umbrella meta-analysis proposed that vitamin D supplementation may improve T2DM biomarkers.

Keywords: Diabetes; Glycemic indices; Umbrella meta-analysis; Vitamin D.

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Conflict of interest statement

The authors declare that they have no competing interests.

Figures

Fig. 1
Fig. 1
Flow chart of study selection
Fig. 2
Fig. 2
Forest plot with mean difference and 95% confidence intervals (CIs), the effects of vitamin D supplementation on FBS levels according to WMD (A), and SMD (B) analysis
Fig. 3
Fig. 3
Forest plot with mean difference and 95% confidence intervals (CIs), the effects of vitamin D supplementation on HbA1c levels according to WMD (A), and SMD (B) analysis
Fig. 4
Fig. 4
Forest plot with mean difference and 95% confidence intervals (CIs), the effects of vitamin D supplementation on insulin levels according to WMD (A), and SMD (B) analysis
Fig. 5
Fig. 5
Forest plot with mean difference and 95% confidence intervals (CIs), the effects of vitamin D supplementation on HOMA-IR levels according to WMD (A), and SMD (B) analysis

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