Fatty liver index and risk of diabetes incidence: A systematic review and dose-response meta-analysis of cohort studies
Abstract
AIMS: Fatty Liver Index (FLI) is a surrogate index for diagnosis of Fatty Liver Disease (FLD). We performed a dose-response meta-analysis to investigate the relationship between FLI and diabetes incidence in prospective cohort studies.
METHODS: We conducted a systematic search of articles up to November 2019 in PubMed, SCOPUS, Cochrane library, and Embase. Hazard Ratios (HRs) with corresponding 95% confidence intervals (CIs) of studies were pooled using meta-analysis with DerSimonian and Laird random-effects models to find combined HRs. Dose-response effect of this relationship was also assessed.
RESULTS: Twenty-seven studies providing 70,918 participants were included in the meta-analysis. Pooled results showed that the highest category of FLI was associated with an increased incidence of diabetes [HR: 2.88, 95% CI: 2.18-3.81; P for heterogeneity: 0.001]. Subgroup analysis based on sex, continent, and the quality of study could not explain the source of heterogeneity. The pooled HR from the random-effects dose-response model indicated a significant association between FLI level and risk of diabetes incidence (Coef=0.0239, p=0.001).
CONCLUSION: Our dose-response meta-analysis revealed a direct relationship between FLI and HR of diabetes incidence.
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: 70,918 participants or records.
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