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      High Serum Uric Acid and Increased Risk of Type 2 Diabetes: A Systemic Review and Meta-Analysis of Prospective Cohort Studies

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          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.

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          Author and article information

          Contributors
          Role: Editor
          Journal
          PLoS One
          PLoS ONE
          plos
          plosone
          PLoS ONE
          Public Library of Science (San Francisco, USA )
          1932-6203
          2013
          20 February 2013
          : 8
          : 2
          : e56864
          Affiliations
          [1 ]Department of Nephrology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
          [2 ]Department of Neurobiology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
          [3 ]Department of Cardiovascular Diseases, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
          MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, China
          Author notes

          Competing Interests: The authors have declared that no competing interests exist.

          Conceived and designed the experiments: KH CZ. Performed the experiments: QL XFM. Analyzed the data: QL XFM FFH SC HS JX. Wrote the paper: QL XFM PG XJT JSL ZHZ CZ.

          Article
          PONE-D-12-32738
          10.1371/journal.pone.0056864
          3577701
          23437258
          75df150a-98bb-4eda-b753-e49a2ea19e21
          Copyright @ 2013

          This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

          History
          : 25 October 2012
          : 15 January 2013
          Page count
          Pages: 7
          Funding
          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.
          Categories
          Research Article
          Computer Science
          Information Technology
          Databases
          Medicine
          Clinical Research Design
          Meta-Analyses
          Systematic Reviews
          Endocrinology
          Diabetic Endocrinology
          Diabetes Mellitus Type 2
          Epidemiology
          Clinical Epidemiology
          Epidemiological Methods
          Global Health
          Metabolic Disorders

          Uncategorized
          Uncategorized

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