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目的采用系统综述与Meta分析定量分析基于队列研究的男性人群中血尿酸水平(SUA)与代谢综合征(MS)发病关系之间的研究。方法检索PubMed、EMbase、CNKI、万方、维普等数据库对2016年5月以前的血尿酸与男性人群代谢综合征发病相关的队列研究,将完整记录尿酸最高剂量组与最低剂量组MS的发病率及相对危险度(RR)及95%可信区间(CI)的队列研究纳入研究,采用Meta分析进行定量合并,采用Q检验及I2检验进行异质性分析,采用漏斗图及Egger线性回归分析评估潜在发表偏倚。结果通过文献筛查,最终纳入7篇文献,共有男性受访者14 132人,MS发病人数2 220人,SUA最高水平组与最低水平组相比,二组MS发病率的合并RR值为2.27(95%CI,1.92~2.69);亚组分析按吸烟、饮酒、运动等因素分组后显示,SUA与MS的发病相关;敏感性分析结果表明,依次剔除一个研究的合并RR值为2.19(1.78~2.68)到2.37(1.99~2.83),研究结果比较稳定;Egger回归法分析结果表明,无发表偏倚的存在(P=0.855)。结论通过对7项队列研究的结果进行Meta分析,发现在中老年男性人群中,SUA水平与MS的发病密切相关,在中老年男性人群中,SUA可作为MS发生的重要预测因子。
Objective To quantitatively analyze the relationship between serum uric acid level (SUA) and metabolic syndrome (MS) in a cohort-based male population using systematic reviews and meta-analyzes. Methods A cohort study of the prevalence of serum uric acid and metabolic syndrome in males prior to May 2016 was performed using databases such as PubMed, EMbase, CNKI, Wanfang and Vipu. The incidences of MS in the highest and lowest uric acid groups were recorded. And relative risk (RR) and 95% confidence interval (CI) were included in the study. Meta-analysis was used for quantitative analysis. Q test and I2 test were used for heterogeneity analysis. Funnel charts and Egger’s linear regression analysis Potential publication bias. The results were screened through literatures and finally included 7 articles. A total of 14 132 male respondents and 2 220 MS patients were recruited. The highest RR of MS in the highest SUA and the lowest SUA was 2.27 (95% CI, 1.92-2.69). Subgroup analysis showed that the incidence of SUA was related to the incidence of MS. The results of sensitivity analysis showed that the merged RR of one study was 2.19 (1.78 ~ 2.68) to 2.37 (1.99 ~ 2.83). The results of the study are relatively stable. Egger regression analysis shows that there is no publication bias (P = 0.855). Conclusions Meta-analysis of the results of seven cohort studies found that SUA levels are closely related to the incidence of MS in the middle-aged and elderly male population. SUA may be an important predictor of MS in the middle-aged and elderly male population.