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首页> 外文期刊>International Journal of Statistics and Applications >Risk of Mortality in Patients with HIV and Depression: A Systematic Review and Meta-Analysis of a Non-Common Outcome
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Risk of Mortality in Patients with HIV and Depression: A Systematic Review and Meta-Analysis of a Non-Common Outcome

机译:HIV和抑郁症患者的死亡率风险:非常见结果的系统评价和荟萃分析

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Meta-analysis (MA) is increasingly being utilized to combine results of several studies to derive refined estimates. However, great difficulty is commonly encountered when non-common outcomes (NCO) are involved. This study is concerned with the MA of mortality risk attributed to depression in HIV patients to identify the challenges and solutions regarding statistical methods in MA of NCO. DerSimonian-Laird (DL) and Inverse variance (IV) techniques were used in the MA to pool estimates of mortality risk through Random Effect Models (REM) and Fixed Effect Models (FEM) depending on presence or absence of heterogeneity respectively. Series of sensitivity analyses, multi-level subgroup analyses and I-squared (I2)statistics tests were done to identify sources of bias, methodological and statistical heterogeneity respectively. From 17 studies that met the inclusion criteria, the mortality Hazard Ratio (HR) and 95% confidence interval (CI) among depressed HIV patients was 1.80 and (1.23 - 2.61) respectively, with significant statistical heterogeneity (I2 = 92.8%). Multiple population characteristics were found in subgroup analyses as sources of methodological heterogeneity (Table 3). Publication bias was present, as detected by both Egger's and Begg's tests, some studies were excluded in succession as sensitivity analysis was carried out sequentially. The final estimate was 1.56 (HR) and CI (1.33 - 1.83) without statistical heterogeneity (I2 = 0.0%). As the studies were being excluded there was a 64% reduction in the width of the CI. From the results of this paper, MA of NCO is associated with publication bias, significant statistical and methodological heterogeneity.
机译:越来越多地使用荟萃分析(MA)来结合多项研究的结果以得出精确的估计值。然而,当涉及非共同结果(NCO)时,通常会遇到很大的困难。这项研究与艾滋病毒患者抑郁引起的死亡风险管理硕士有关,以查明有关NCO的统计学方法的挑战和解决方案。在MA中,使用DerSimonian-Laird(DL)和逆方差(IV)技术通过随机效应模型(REM)和固定效应模型(FEM)分别根据异质性的存在或不存在来汇总对死亡风险的估计。进行了一系列敏感性分析,多级亚组分析和I平方(I 2 统计检验,以分别识别偏倚,方法和统计异质性的来源。在符合入选标准的17项研究中,抑郁的艾滋病毒患者的死亡率危险比(HR)和95%置信区间(CI)分别为1.80和(1.23-2.61),具有显着的统计异质性(I 2 = 92.8%)。在亚组分析中发现多种人群特征是方法学异质性的来源(表3)。正如Egger和Begg的检验所发现的那样,存在出版偏倚,因为先后进行了敏感性分析,因此连续排除了一些研究。最终估计值为1.56(HR)和CI(1.33-1.83),无统计学差异(I 2 = 0.0%)。由于研究被排除在外,CI的宽度减少了64%。从本文的结果来看,NCO的MA与出版偏倚,显着的统计和方法异质性相关。

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