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Elevation of serum uric acid and incidence of type 2 diabetes: A systematic review and meta-analysis

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:...

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Autores principales: Xu, Yi-Li, Xu, Kuan-Feng, Bai, Jian-Ling, Liu, Yun, Yu, Rong-Bin, Liu, Chun-Lan, Shen, Chong, Wu, Xiao-Hong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: KeAi Publishing 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5643744/
https://www.ncbi.nlm.nih.gov/pubmed/29063028
http://dx.doi.org/10.1016/j.cdtm.2016.09.003
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author Xu, Yi-Li
Xu, Kuan-Feng
Bai, Jian-Ling
Liu, Yun
Yu, Rong-Bin
Liu, Chun-Lan
Shen, Chong
Wu, Xiao-Hong
author_facet Xu, Yi-Li
Xu, Kuan-Feng
Bai, Jian-Ling
Liu, Yun
Yu, Rong-Bin
Liu, Chun-Lan
Shen, Chong
Wu, Xiao-Hong
author_sort Xu, Yi-Li
collection PubMed
description 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.
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spelling pubmed-56437442017-10-23 Elevation of serum uric acid and incidence of type 2 diabetes: A systematic review and meta-analysis Xu, Yi-Li Xu, Kuan-Feng Bai, Jian-Ling Liu, Yun Yu, Rong-Bin Liu, Chun-Lan Shen, Chong Wu, Xiao-Hong Chronic Dis Transl Med Meta Analysis 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. KeAi Publishing 2016-11-02 /pmc/articles/PMC5643744/ /pubmed/29063028 http://dx.doi.org/10.1016/j.cdtm.2016.09.003 Text en © 2016 Chinese Medical Association. Production and hosting by Elsevier B.V. on behalf of KeAi Communications Co., Ltd. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Meta Analysis
Xu, Yi-Li
Xu, Kuan-Feng
Bai, Jian-Ling
Liu, Yun
Yu, Rong-Bin
Liu, Chun-Lan
Shen, Chong
Wu, Xiao-Hong
Elevation of serum uric acid and incidence of type 2 diabetes: A systematic review and meta-analysis
title Elevation of serum uric acid and incidence of type 2 diabetes: A systematic review and meta-analysis
title_full Elevation of serum uric acid and incidence of type 2 diabetes: A systematic review and meta-analysis
title_fullStr Elevation of serum uric acid and incidence of type 2 diabetes: A systematic review and meta-analysis
title_full_unstemmed Elevation of serum uric acid and incidence of type 2 diabetes: A systematic review and meta-analysis
title_short Elevation of serum uric acid and incidence of type 2 diabetes: A systematic review and meta-analysis
title_sort elevation of serum uric acid and incidence of type 2 diabetes: a systematic review and meta-analysis
topic Meta Analysis
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5643744/
https://www.ncbi.nlm.nih.gov/pubmed/29063028
http://dx.doi.org/10.1016/j.cdtm.2016.09.003
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