Sex difference in coronavirus disease (COVID-19): a systematic review and meta-analysis.
Sex difference in coronavirus disease (COVID-19): a systematic review and meta-analysis.
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冠状病毒病的性别差异（Covid-19）：系统评价和荟萃分析。
DOI：
10.1136/bmjopen-2020-040129
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发表时间：
2020-10-06
期刊：
影响因子：
2.9
通讯作者：
Masresha SA
中科院分区：
文献类型：
--
作者：
Abate BB;Kassie AM;Kassaw MW;Aragie TG;Masresha SA
评估COVID-19确诊病例患病率的性别差异。系统回顾和荟萃分析.检索PubMed、科克伦图书馆和谷歌学术搜索相关信息。作者在Excel工作表上开发了数据提取表，并从合格研究中提取了以下数据：作者、国家、样本量、女性患者数量和男性患者数量。使用STATA V.14进行分析，作者使用随机效应荟萃分析模型汇总了男性和/或女性的总体患病率。作者使用Q统计量和I2统计量检验了效应量的异质性。进行亚组和敏感性分析。还检查了发表偏倚。纳入了对COVID-19确诊病例的研究。考虑了COVID-19确诊病例的性别（男/女）。主要结果是男性和女性的COVID-19患病率。共有57项研究，221195名参与者被用于分析。男性COVID-19合并患病率为55.00（51.43-56.58，I2= 99.5%，p<0.001）。敏感性分析表明，这些发现并不依赖于单一的研究。此外，漏斗图显示对称分布。Egger回归检验p值不显著，表明两种结果均不存在发表偏倚。有症状的COVID-19的患病率在男性中高于女性。吸烟和饮酒的高流行率导致COVID-19在男性中的高流行率。建议就COVID-19在男性和女性之间的严重程度和死亡率差异以及相关因素进行额外研究。
To assess the sex difference in the prevalence of COVID-19 confirmed cases. Systematic review and meta-analysis. PubMed, Cochrane Library and Google Scholar were searched for related information. The authors developed a data extraction form on an Excel sheet and the following data from eligible studies were extracted: author, country, sample size, number of female patients and number of male patients. Using STATA V.14 for analysis, the authors pooled the overall prevalence of men and/or women using a random-effect meta-analysis model. The authors examined the heterogeneity in effect size using Q statistics and I2 statistics. Subgroup and sensitivity analyses were performed. Publication bias was also checked. Studies on COVID-19 confirmed cases were included. Sex (male/female) of COVID-19 confirmed cases was considered. The primary outcome was prevalence of COVID-19 among men and women. A total of 57 studies with 221 195 participants were used in the analysis. The pooled prevalence of COVID-19 among men was found to be 55.00 (51.43–56.58, I2=99.5%, p<0.001). Sensitivity analysis showed the findings were not dependent on a single study. Moreover, a funnel plot showed symmetrical distribution. Egger’s regression test p value was not significant, which indicates absence of publication bias in both outcomes. The prevalence of symptomatic COVID-19 was found to be higher in men than in women. The high prevalence of smoking and alcohol consumption contributed to the high prevalence of COVID-19 among men. Additional studies on the discrepancies in severity and mortality rate due to COVID-19 among men and women and the associated factors are recommended.
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影响因子：
10.5
作者：
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通讯作者：
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DOI：
10.1073/pnas.2004911117
发表时间：
2020-05-05
影响因子：
11.1
作者：
Dowd, Jennifer Beam;Andriano, Liliana;Mills, Melinda C.
通讯作者：
Mills, Melinda C.