Objective:Based on Meta-analysis,the efficacy of magnetic resonance fat quantification technique in the relationship between abdominal visceral fat content and type 2 diabetes mellitus(T2DM)was evaluated,and the feasibility of predicting the incidence of T2DM with abdominal visceral fat content was discussed.Methods:Chinese and English literatures on the relationship between abdominal visceral fat and T2DM were searched from PubMed,Embase,The Cochrane Library,CNKI and Wanfang Database from January 1,1995 to March 31,2023.The literatures were independently screened according to inclusion and exclusion criteria,and the data were extracted and evaluated for quality.Finally,STATA 12.0 software was used for statistical analysis and forest map drawing.Subgroup analysis was used to find the source of heterogeneity,and a funnel plot was drawn to assess the presence of publication bias.Results:A total of 16 literatures were included.A total of 1 814 subjects were enrolled,including 759 in T2DM group and 1 055 in healthy control group.The content of ectopic fat deposition in pancreas and liver of patients with T2DM was higher than that of healthy people,and the content of visceral fat in abdominal cavity was also higher than that of healthy people.In T2DM patients,pancreatic fat fraction(PFF)(WMD=2.71,95%CI 2.01-3.41),hepatic fat fraction(HFF)(WMD=6.03,95%CI 4.10-7.95),visceral fat area(VFA)(WMD=77.71,95%CI 39.98-115.43)and subcutaneous fat area(SFA)(WMD=27.72,95%CI 6.76-48.69)were higher than those in the healthy control group,and the difference between groups was statistically significant(P<0.01).Conclusion:The contents of visceral fat,subcutaneous fat,liver and pancreas fat in the patients with T2DM were significantly higher than those in the control group.Magnetic resonance fat quantification technology provides an effective non-invasive biological index for the quantitative measurement of visceral fat and ectopic fat deposition in the abdominal cavity,and has great prospects for the development of fat quantification research in the future.
type 2 diabetesfatnuclear magnetic resonanceMeta-analysis
维普
万方数据
