Evidence of synergistic relationships between HIV and Human Papillomavirus (HPV): systematic reviews and meta-analyses of longitudinal studies of HPV acquisition and clearance by HIV status, and of HIV acquisition by HPV status.

Evidence of synergistic relationships between HIV and Human Papillomavirus (HPV): systematic reviews and meta-analyses of longitudinal studies of HPV acquisition and clearance by HIV status, and of HIV acquisition by HPV status.
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DOI:
10.1002/jia2.25110
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发表时间:
2018-06
影响因子:
6
通讯作者:
Boily MC
Boily MC
中科院分区:
医学1区
文献类型:
--
作者:
Looker KJ;Rönn MM;Brock PM;Brisson M;Drolet M;Mayaud P;Boily MC

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观察性研究表明,艾滋病毒和人乳头瘤病毒(HPV)感染可能有多种相互作用。我们回顾了HIV对HPV获得和清除的影响以及HPV对HIV获得的影响的证据强度。我们对HIV状态下HPV发病率和清除率的纵向研究(综述1)和HPV状态下HIV发病率的纵向研究(综述2)进行了meta分析系统综述。我们使用随机效应模型汇总了所有研究的相对风险(RR)估计值。I 2统计和亚组分析用于量化估计的异质性,并探讨参与者和研究特征(包括研究质量)的影响。发表偏倚采用漏斗图和亚组分析进行定量检验,并进行定性检验。在综述1中,37篇出版物(25项独立研究)被纳入meta分析。HPV发病率(汇集RR = 1.55, 95%置信区间CI: 1.29 - 1.88;异性恋男性:汇集RR = 1.95, 95% CI: 1.62, 2.34;女性:汇集RR = 1.63, 95%置信区间CI: 1.26 - 2.11;与男性发生性关系的男人:汇集RR = 1.36, 95%置信区间CI: 1.01 - 1.82)和高危险HPV发病率(汇集RR = 2.20, 95%置信区间CI: 1.90 - 2.54)在艾滋病毒感染者中大约翻了一番(感染者)而HPV清除率(汇集RR = 0.53, 95%置信区间CI: 0.42 - 0.67)大约是减半。在综述2中,14篇出版物(11项独立研究)被纳入meta分析。在HPV感染流行的情况下,HIV发病率几乎翻了一番(合并RR = 1.91, 95% CI 1.38至2.65)。在综述2中有更多发表偏倚的证据,在综述1中纳入的研究中有更大的混淆风险。有一些证据表明,调整关键混杂因素加强了评价2的相关性。HIV/HPV暴露状况的错误分类偏差也可能使估计偏向于零。这些结果为临床和公共卫生相关性的协同HIV和HPV相互作用提供了证据。HPV疫苗接种可能直接有利于PLHIV,并有助于在高流行环境中在人群水平上控制HPV和HIV。我们对关联的估计对数学建模是有用的。尽管观察性研究永远无法完全控制残留的混杂因素,但本文提出的证据进一步支持HIV和HPV之间存在生物相互作用,这种相互作用具有很强的合理性。
Observational studies suggest HIV and human papillomavirus (HPV) infections may have multiple interactions. We reviewed the strength of the evidence for the influence of HIV on HPV acquisition and clearance, and the influence of HPV on HIV acquisition. We performed meta‐analytic systematic reviews of longitudinal studies of HPV incidence and clearance rate by HIV status (review 1) and of HIV incidence by HPV status (review 2). We pooled relative risk (RR) estimates across studies using random‐effect models. I 2 statistics and subgroup analyses were used to quantify heterogeneity across estimates and explore the influence of participant and study characteristics including study quality. Publication bias was examined quantitatively with funnel plots and subgroup analysis, as well as qualitatively. In review 1, 37 publications (25 independent studies) were included in the meta‐analysis. HPV incidence (pooled RR = 1.55, 95% CI: 1.29 to 1.88; heterosexual males: pooled RR = 1.95, 95% CI: 1.62, 2.34; females: pooled RR = 1.63, 95% CI: 1.26 to 2.11; men who have sex with men: pooled RR = 1.36, 95% CI: 1.01 to 1.82) and high‐risk HPV incidence (pooled RR = 2.20, 95% CI: 1.90 to 2.54) was approximately doubled among people living with HIV (PLHIV) whereas HPV clearance rate (pooled RR = 0.53, 95% CI: 0.42 to 0.67) was approximately halved. In review 2, 14 publications (11 independent studies) were included in the meta‐analysis. HIV incidence was almost doubled (pooled RR = 1.91, 95% CI 1.38 to 2.65) in the presence of prevalent HPV infection. There was more evidence of publication bias in review 2, and somewhat greater risk of confounding in studies included in review 1. There was some evidence that adjustment for key confounders strengthened the associations for review 2. Misclassification bias by HIV/HPV exposure status could also have biased estimates toward the null. These results provide evidence for synergistic HIV and HPV interactions of clinical and public health relevance. HPV vaccination may directly benefit PLHIV, and help control both HPV and HIV at the population level in high prevalence settings. Our estimates of association are useful for mathematical modelling. Although observational studies can never perfectly control for residual confounding, the evidence presented here lends further support for the presence of biological interactions between HIV and HPV that have a strong plausibility.
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