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首页> 外文期刊>Neuroepidemiology >Population incidence of guillain-barre syndrome: a systematic review and meta-analysis.
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Population incidence of guillain-barre syndrome: a systematic review and meta-analysis.

机译:格林巴利综合征的人口发病率:系统评价和荟萃分析。

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Population incidence of Guillain-Barre syndrome (GBS) is required to assess changes in GBS epidemiology, but published estimates of GBS incidence vary greatly depending on case ascertainment, definitions, and sample size. We performed a meta-analysis of articles on GBS incidence by searching Medline (1966-2009), Embase (1988-2009), Cinahl (1981-2009) and CABI (1973-2009) as well as article bibliographies. We included studies from North America and Europe with at least 20 cases, and used population-based data, subject matter experts to confirm GBS diagnosis, and an accepted GBS case definition. With these data, we fitted a random-effects negative binomial regression model to estimate age-specific GBS incidence. Of 1,683 nonduplicate citations, 16 met the inclusion criteria, which produced 1,643 cases and 152.7 million person-years of follow-up. GBS incidence increased by 20% for every 10-year increase in age; the risk of GBS was higher for males than females. The regression equation for calculating the average GBS rate per 100,000 person-years as a function of age in years was exp[-12.0771 + 0.01813(age in years)] x 100,000. Our findings provide a robust estimate of background GBS incidence in Western countries. Our regression model may be used in comparable populations to estimate the background age-specific rate of GBS incidence for future studies.
机译:需要吉兰-巴雷综合症(GBS)的人群发生率来评估GBS流行病学的变化,但是已公布的GBS发生率的估计值因病例确定,定义和样本量而异。我们通过检索Medline(1966-2009),Embase(1988-2009),Cinahl(1981-2009)和CABI(1973-2009)以及文献书目对GBS发生率的文章进行了荟萃分析。我们纳入了至少20例来自北美和欧洲的研究,并使用了基于人群的数据,主题专家来确认GBS诊断和公认的GBS病例定义。利用这些数据,我们拟合了随机效应负二项式回归模型来估计特定年龄的GBS发生率。在1,683次重复引用中,有16项符合纳入标准,产生了1,643例案例,并进行了1.527亿人年的随访。每增加10岁,GBS发生率就会增加20%;男性的GBS风险高于女性。用于计算每100,000人年的平均GBS率作为年龄的函数的回归方程为exp [-12.0771 + 0.01813(年龄)] x 100,000。我们的发现为西方国家背景性GBS发病率提供了可靠的估计。我们的回归模型可用于可比较的人群中,以估计特定年龄的GBS发生率,以供将来研究。

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