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[新型冠状病毒肺炎的潜伏期:一项系统评价与Meta分析]

[Incubation period of COVID-19: A systematic review and meta-analysis].

作者信息

Quesada J A, López-Pineda A, Gil-Guillén V F, Arriero-Marín J M, Gutiérrez F, Carratala-Munuera C

机构信息

Departamento de Medicina Clínica, Universidad Miguel Hernández de Elche, San Juan de Alicante, España.

Departamento de Neumología, Universidad Hospital de San Juan de Alicante, San Juan de Alicante, España.

出版信息

Rev Clin Esp (Barc). 2021 Feb;221(2):109-117. doi: 10.1016/j.rce.2020.08.005. Epub 2020 Oct 1.

Abstract

BACKGROUND AND OBJECTIVE

The incubation period of COVID-19 helps to determine the optimal duration of the quarantine and inform predictive models of incidence curves. Several emerging studies have produced varying results; this systematic review aims to provide a more accurate estimate of the incubation period of COVID-19.

METHODS

For this systematic review, a literature search was conducted using Pubmed, Scopus/EMBASE, and the Cochrane Library databases, covering all observational and experimental studies reporting the incubation period and published from 1 January 2020 to 21 March 2020.We estimated the mean and 95th percentile of the incubation period using meta-analysis, taking into account between-study heterogeneity, and the analysis with moderator variables.

RESULTS

We included seven studies (n = 792) in the meta-analysis. The heterogeneity (I 83.0%, < 0.001) was significantly decreased when we included the study quality and the statistical model used as moderator variables (I 15%). The mean incubation period ranged from 5.6 (95% CI: 5.2 to 6.0) to 6.7 days (95% CI: 6.0 to 7.4) according to the statistical model. The 95 percentile was 12.5 days when the mean age of patients was 60 years, increasing 1 day for every 10 years.

CONCLUSION

Based on the published data reporting the incubation period of COVID-19, the mean time between exposure and onset of clinical symptoms depended on the statistical model used, and the 95th percentile depended on the mean age of the patients. It is advisable to record sex and age when collecting data in order to analyze possible differential patterns.

摘要

背景与目的

新型冠状病毒肺炎(COVID-19)的潜伏期有助于确定隔离的最佳时长,并为发病率曲线的预测模型提供依据。多项新出现的研究得出了不同结果;本系统评价旨在更准确地估计COVID-19的潜伏期。

方法

对于本系统评价,我们使用PubMed、Scopus/EMBASE和Cochrane图书馆数据库进行文献检索,涵盖2020年1月1日至2020年3月21日发表的所有报告潜伏期的观察性和实验性研究。我们采用荟萃分析估计潜伏期的均值和第95百分位数,同时考虑研究间的异质性以及含调节变量的分析。

结果

我们在荟萃分析中纳入了7项研究(n = 792)。当我们将研究质量和所用统计模型作为调节变量纳入时,异质性(I² = 83.0%,P < 0.001)显著降低(I² = 15%)。根据统计模型,潜伏期均值在5.6天(95%CI:5.2至6.0)至6.7天(95%CI:6.0至7.4)之间。当患者平均年龄为60岁时,第95百分位数为12.5天,每增加10岁增加1天。

结论

基于已发表的报告COVID-19潜伏期的数据,暴露与临床症状出现之间的平均时间取决于所用的统计模型,第95百分位数取决于患者的平均年龄。在收集数据时记录性别和年龄以便分析可能的差异模式是可取的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b7ac/7528969/1358a2649ea1/gr1_lrg.jpg

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