High serum uric acid and increased risk of type 2 diabetes: a systemic review and meta-analysis of prospective cohort studies

PLoS One. 2013;8(2):e56864. doi: 10.1371/journal.pone.0056864. Epub 2013 Feb 20.

Abstract

Objective: Current evidence suggests high serum uric acid may increase the risk of type 2 diabetes, but the association is still uncertain. The aim of the study was to evaluate the association between serum uric acid and future risk of type 2 diabetes by conducting a meta-analysis of prospective cohort studies.

Design and methods: We conducted a systematic literature search of the PubMed database through April 2012. Prospective cohort studies were included in meta-analysis that reported the multivariate adjusted relative risks (RRs) and the corresponding 95% confidence intervals (CIs) for the association between serum uric acid and risk of type 2 diabetes. We used both fix-effects and random-effects models to calculate the overall effect estimate. The heterogeneity across studies was tested by both Q statistic and I(2) statistic. Begg's funnel plot and Egger's regression test were used to assess the potential publication bias.

Results: We retrieved 7 eligible articles derived from 8 prospective cohort studies, involving a total of 32016 participants and 2930 incident type 2 diabetes. The combined RR of developing type 2 diabetes for the highest category of serum uric acid level compared with the lowest was 1.56(95% CI, 1.39-1.76). Dose-response analysis showed the risk of type 2 diabetes was increased by 6% per 1 mg/dl increment in serum uric acid level (RR 1.06, 95% CI: 1.04-1.07). The result from each subgroup showed a significant association between serum uric acid and risk of type 2 diabetes. In sensitive analysis, the combined RR was consistent every time omitting any one study. Little evidence of heterogeneity and publication bias was observed.

Conclusions: Our meta-analysis of prospective cohort studies provided strong evidence that high level of serum uric acid is independent of other established risk factors, especially metabolic syndrome components, for developing type 2 diabetes in middle-aged and older people.

Publication types

  • Meta-Analysis
  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Diabetes Mellitus, Type 2 / blood*
  • Disease Susceptibility
  • Humans
  • Prospective Studies
  • Publication Bias
  • Risk
  • Uric Acid / blood*

Substances

  • Uric Acid

Grant support

This work was supported by grants from the National Natural Science Foundation of China (no. 81170662, no. 30871174 and no. 31200872), a grant from Natural Science Foundation of Hubei Province (2012FFA038), and a Medicine-Technology Interdisciplinary grant from Huazhong University of Science and Technology (no. 2012-14). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.