Determine the most common clinical symptoms in COVID-19 patients: a systematic review and meta-analysis.
Determine the most common clinical symptoms in COVID-19 patients: a systematic review and meta-analysis.
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DOI：
10.15167/2421-4248/jpmh2020.61.3.1530
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发表时间：
2020-09
影响因子：
--
通讯作者：
Hosamirudsari H
中科院分区：
文献类型：
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作者：
Alimohamadi Y;Sepandi M;Taghdir M;Hosamirudsari H
新冠肺炎是一种新发传染病。对该病感染特点的研究将有助于更好地了解该病。目前的系统综述和荟萃分析的目的是在系统综述和荟萃分析中估计新冠肺炎临床症状的患病率。使用Medline/PubMed、Scope us和谷歌学者进行了系统的评估。在当前的系统综述和荟萃分析中，对2020年1月1日至2020年4月2日发表的报道新冠肺炎临床症状的英文文章进行综述。为了评估异质性的存在，使用了Cochran‘s Q统计量、I2指数和tau平方检验。由于研究之间的显着异质性，采用95%可信区间的随机效应模型来计算每个症状患病率的合并估计。新冠肺炎患者最常见的症状包括：发热81.2%(95%CI：77.9~84.4)；咳嗽：58.5%(95%CI：54.2~62.8)；乏力38.5%(95%CI：30.6~45.3)；呼吸困难：26.1%(95%CI：20.4~31.8)；痰：25.8%(95%CI：21.1~30.4)。根据Meta回归结果，不同研究中使用的样本量对最终估计值没有显著影响(P>；0.05)。考虑到新冠肺炎的主要症状，如发烧、咳嗽、乏力和呼吸困难，可以在早期发现这种疾病并防止疾病传播给其他人方面发挥关键作用。
COVID-19 is an emerging infectious disease. The study about features of this infection could be very helpful in better knowledge about this infectious disease. The current systematic review and meta-analysis were aimed to estimate the prevalence of clinical symptoms of COVID-19 in a systematic review and meta-analysis. A systematic review using Medline/PubMed, Scopus, and Google scholar has been conducted. In the current systematic review and meta-analysis, the articles published in the period January 1, 2020, to April 2, 2020, written in English and reporting clinical symptoms of COVID-19 was reviewed. To assess, the presence of heterogeneity, the Cochran’s Q statistic, the I2 index, and the tau-squared test were used. Because of significant heterogeneity between the studies the random-effects model with 95% CI was used to calculate the pooled estimation of each symptom prevalence. The most common symptoms in COVID-19 patients include: Fever 81.2% (95% CI: 77.9-84.4); Cough: 58.5% (95% CI: 54.2-62.8); Fatigue 38.5% (95% CI: 30.6-45.3); Dyspnea: 26.1% (95% CI: 20.4-31.8); and the Sputum: 25.8% (95% CI: 21.1-30.4). Based on the meta-regression results, the sample size used in different studies did not have a significant effect on the final estimate value (P > 0.05). Considering the main symptoms of COVID-19 such as Fever, Cough, Fatigue, and Dyspnea can have a key role in early detection of this disease and prevent the transmission of the disease to other people.