背景:糖尿病肾病(DN)是全球终末期肾病的主要原因,给医疗系统带来巨大压力,造成沉重的社会经济负担。全面研究糖尿病患者DN的流行病学特征,分析其发病的相关因素,以实施有效的预防控制措施已成为当务之急。
方法:计算机辅助搜索MEDLINE,EMBASE,WebofScience,PsycINFO,和CINAHL数据库将用于前瞻性队列研究,报告糖尿病人群中DN的患病率.研究将使用广义线性混合模型进行汇总,并将计算纳入研究的单个比例,以得出糖尿病人群中DN的总体发病率,并分析不同因素对DN发病率的影响。将使用漏斗图结合Begg测试来评估发布偏差。灵敏度分析将使用分离方法进行,排除低质量的研究,以及修剪和填充方法。
结果:主要结局将是糖尿病人群中DN的患病率;次要结局将是年龄等因素的影响,性别,区域,种族,糖尿病的持续时间,糖尿病的类型,基线体重指数,基线糖化血红蛋白水平,基线血压,纳入研究的质量,糖尿病患者DN患病率的随访时间。
结论:通过本系统综述和荟萃分析,这项研究将更全面地获得糖尿病人群中DN的患病率,并更深入地了解不同特征的糖尿病人群中DN患病率的差异,从而为糖尿病的管理和DN的预防提供依据。
BACKGROUND: Diabetic nephropathy (DN) is the leading cause of end-stage renal disease worldwide, placing enormous pressure on healthcare systems and creating a heavy socioeconomic burden. It is urgent to comprehensively study the epidemiological characteristics of DN in diabetic patients and to analyze the related factors to its incidence in order to implement effective prevention and control measures.
METHODS: Computer-aided searches of the MEDLINE, EMBASE, Web of Science, PsycINFO, and CINAHL databases will be performed for prospective cohort studies reporting the prevalence of DN in diabetic populations. Studies will be pooled using a generalized linear mixed model, and a single proportion of included studies will be calculated to derive the overall incidence of DN in the diabetic population, and to analyze the effect of different factors on the incidence of DN. Publication bias will be assessed using a funnel plot combined with Begg test. Sensitivity analyses will be performed using the separation method, the exclusion of low-quality studies, and the trim and fill method.
RESULTS: The primary outcome will be the prevalence of DN in the diabetic population; secondary outcomes will be the influence of factors such as age, gender, region, ethnicity, duration of diabetes, type of diabetes, baseline body mass index, baseline glycated hemoglobin level, baseline blood pressure, quality of included studies, and follow-up time on the prevalence of DN in diabetic patients.
CONCLUSIONS: Through this systematic review and meta-analysis, the study will more comprehensively obtain the prevalence of DN in diabetic populations worldwide, and gain a deeper understanding of the differences in the prevalence of DN in diabetic populations with different characteristics, so as to provide evidence for the management of diabetes and the prevention of DN.