PMID- 29063028
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20220318
IS  - 2095-882X (Print)
IS  - 2589-0514 (Electronic)
IS  - 2095-882X (Linking)
VI  - 2
IP  - 2
DP  - 2016 Jun
TI  - Elevation of serum uric acid and incidence of type 2 diabetes: A systematic 
      review and meta-analysis.
PG  - 81-91
LID - 10.1016/j.cdtm.2016.09.003 [doi]
AB  - OBJECTIVE: Recently, several cohort studies suggested a positive relationship 
      between serum uric acid (SUA) and type 2 diabetes mellitus (T2DM), which is 
      inconsistent with the results of functional research. Our aim was to further 
      evaluate this correlation by conducting a systematic review. METHODS: 
      Computerized literature searches of the Medline database, EMBASE database, and 
      PubMed were used to evaluate the relationship between SUA and T2DM in cohort 
      studies. Cochran's Q and I(2) statistics were used to evaluate heterogeneity 
      among studies, and pooled relative risk (RR) and odds ratio (OR) with 95% 
      confidence intervals (CIs) were calculated using random-effects and fixed-effects 
      models. The summary RR and OR of per 1 mg/ml-SUA increase were calculated 
      separately because of their different epidemiological implications and 
      calculation methods. Additionally, sensitivity analysis, stratified analysis, 
      meta-regression, and multiple meta-regression were applied to investigate the 
      heterogeneity among studies. RESULTS: A total of 970 articles were retrieved from 
      the searches. Sixteen publications of cohort studies containing 61,714 
      participants were included. The pooled RR was 1.131 (95% CI: 1.084-1.179) with 
      significant heterogeneity among studies (I(2)  = 51.9%, P = 0.018). Adjusted RR 
      to evaluate the stability of the relationship between SUA and T2DM in the 
      sensitivity analysis was similar (RR = 1.140, 95% CI: 1.087-1.197), with 
      statistically significant heterogeneity (I(2)  = 54.5%, P = 0.015). Stratified 
      analysis and meta-regression showed that the positive relationship remained 
      irrespective of age, sex, region, and adjustment for confounding factors 
      including body mass index, fasting blood glucose, systolic blood pressure, 
      diastolic blood pressure, alcohol consumption, smoking, blood cholesterol, waist 
      circumference, fatty liver, and drugs affecting SUA. CONCLUSION: Although SUA is 
      independently associated with development of T2DM, insulin resistance increased 
      as the baseline SUA concentration increased; thus, the correlation between SUA 
      and T2DM requires further evaluation and the baseline insulin resistance status 
      should also be considered.
FAU - Xu, Yi-Li
AU  - Xu YL
AD  - Department of Nephrology, The First Affiliated Hospital with Nanjing Medical 
      University, Nanjing, Jiangsu 210029, China.
FAU - Xu, Kuan-Feng
AU  - Xu KF
AD  - Department of Endocrinology, The First Affiliated Hospital with Nanjing Medical 
      University, Nanjing, Jiangsu 210029, China.
FAU - Bai, Jian-Ling
AU  - Bai JL
AD  - Department of Biostatistics, School of Public Health, Nanjing Medical University, 
      Nanjing, Jiangsu 211166, China.
FAU - Liu, Yun
AU  - Liu Y
AD  - Department of Geriatrics, The First Affiliated Hospital with Nanjing Medical 
      University, Nanjing, Jiangsu 210029, China.
FAU - Yu, Rong-Bin
AU  - Yu RB
AD  - Department of Biostatistics, School of Public Health, Nanjing Medical University, 
      Nanjing, Jiangsu 211166, China.
FAU - Liu, Chun-Lan
AU  - Liu CL
AD  - Department of Epidemiology, School of Public Health, Nanjing Medical University, 
      Nanjing, Jiangsu 211166, China.
FAU - Shen, Chong
AU  - Shen C
AD  - Department of Epidemiology, School of Public Health, Nanjing Medical University, 
      Nanjing, Jiangsu 211166, China.
FAU - Wu, Xiao-Hong
AU  - Wu XH
AD  - Department of Endocrinology, The First Affiliated Hospital with Nanjing Medical 
      University, Nanjing, Jiangsu 210029, China.
LA  - eng
PT  - Journal Article
DEP - 20161102
PL  - United States
TA  - Chronic Dis Transl Med
JT  - Chronic diseases and translational medicine
JID - 101679934
PMC - PMC5643744
OTO - NOTNLM
OT  - Diabetes
OT  - Meta-analysis
OT  - Uric acid
EDAT- 2017/10/25 06:00
MHDA- 2017/10/25 06:01
PMCR- 2016/11/02
CRDT- 2017/10/25 06:00
PHST- 2016/07/26 00:00 [received]
PHST- 2017/10/25 06:00 [entrez]
PHST- 2017/10/25 06:00 [pubmed]
PHST- 2017/10/25 06:01 [medline]
PHST- 2016/11/02 00:00 [pmc-release]
AID - S2095-882X(16)30045-7 [pii]
AID - 10.1016/j.cdtm.2016.09.003 [doi]
PST - epublish
SO  - Chronic Dis Transl Med. 2016 Nov 2;2(2):81-91. doi: 10.1016/j.cdtm.2016.09.003. 
      eCollection 2016 Jun.