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

被引：288
作者：
Lv, Qin [1 ]
Meng, Xian-Fang [2 ]
He, Fang-Fang [1 ]
Chen, Shan [1 ]
Su, Hua [1 ]
Xiong, Jing [1 ]
Gao, Pan [1 ]
Tian, Xiu-Juan [1 ]
Liu, Jian-She [1 ]
Zhu, Zhong-Hua [1 ]
Huang, Kai [3 ]
Zhang, Chun [1 ]
机构：
[1] Huazhong Univ Sci & Technol, Tongji Med Coll, Union Hosp, Dept Nephrol, Wuhan 430074, Peoples R China
[2] Huazhong Univ Sci & Technol, Tongji Med Coll, Dept Neurobiol, Wuhan 430074, Peoples R China
[3] Huazhong Univ Sci & Technol, Tongji Med Coll, Union Hosp, Dept Cardiovasc Dis, Wuhan 430074, Peoples R China
来源：
PLOS ONE | 2013年 / 8卷 / 02期
基金：
中国国家自然科学基金;
关键词：
NUTRITION EXAMINATION SURVEY; IMPAIRED FASTING GLUCOSE; NATIONAL-HEALTH; HYPERTENSION; PREVALENCE; HYPERURICEMIA; ASSOCIATION; MORTALITY; WOMEN;
D O I：
10.1371/journal.pone.0056864
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
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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页数：7
相关论文
共 35 条
[1]   METAANALYSIS OF EPIDEMIOLOGIC DOSE-RESPONSE DATA [J].
BERLIN, JA ;
LONGNECKER, MP ;
GREENLAND, S .
EPIDEMIOLOGY, 1993, 4 (03) :218-228
[2]   Serum Uric Acid Levels and the Risk of Type 2 Diabetes: A Prospective Study [J].
Bhole, Vidula ;
Choi, Jee Woong J. ;
Kim, Sung Woo ;
de Vera, Mary ;
Choi, Hyon .
AMERICAN JOURNAL OF MEDICINE, 2010, 123 (10) :957-961
[3]   Allopurinol normalizes endothelial dysfunction in type 2 diabetics with mild hypertension [J].
Butler, R ;
Morris, AD ;
Belch, JJF ;
Hill, A ;
Struthers, AD .
HYPERTENSION, 2000, 35 (03) :746-751
[4]   Plasma uric acid and the risk of type 2 diabetes in a Chinese community [J].
Chien, Kuo-Liong ;
Chen, Ming-Fong ;
Hsu, Hsiu-Ching ;
Chang, Wei-Tien ;
Su, Ta-Chen ;
Lee, Yuan-Teh ;
Hu, Frank B. .
CLINICAL CHEMISTRY, 2008, 54 (02) :310-316
[5]   High Serum Uric Acid as a Novel Risk Factor for Type 2 Diabetes [J].
Dehghan, Abbas ;
van Hoek, Mandy ;
Sijbrands, Eric J. G. ;
Hofman, Albert ;
Witteman, Jacqueline C. M. .
DIABETES CARE, 2008, 31 (02) :361-362
[6]   Bias in meta-analysis detected by a simple, graphical test [J].
Egger, M ;
Smith, GD ;
Schneider, M ;
Minder, C .
BMJ-BRITISH MEDICAL JOURNAL, 1997, 315 (7109) :629-634
[7]   Sevum uric acid and cardiovascular mortality - The NHANES I epidemiologic follow-up study, 1971-1992 [J].
Fang, J ;
Alderman, MH .
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2000, 283 (18) :2404-2410
[8]   METHODS FOR TREND ESTIMATION FROM SUMMARIZED DOSE-RESPONSE DATA, WITH APPLICATIONS TO METAANALYSIS [J].
GREENLAND, S ;
LONGNECKER, MP .
AMERICAN JOURNAL OF EPIDEMIOLOGY, 1992, 135 (11) :1301-1309
[9]   Measuring inconsistency in meta-analyses [J].
Higgins, JPT ;
Thompson, SG ;
Deeks, JJ ;
Altman, DG .
BMJ-BRITISH MEDICAL JOURNAL, 2003, 327 (7414) :557-560
[10]   Uncertainty in heterogeneity estimates in meta-analyses [J].
Ioannidis, John P. A. ;
Patsopoulos, Nikolaos A. ;
Evangelou, Evangelos .
BMJ-BRITISH MEDICAL JOURNAL, 2007, 335 (7626) :914-916
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