Amanollahi Alireza, Sotoodeh Ghorbani Sahar, Basir Ghafouri Hamed, Afrashteh Sima, Hashemi Nazari Seyed Saeed
Department of Epidemiology, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Trauma and Injury Research Center, Iran University of Medical Sciences, Tehran, Iran.
Med J Islam Repub Iran. 2021 Sep 2;35:112. doi: 10.47176/mjiri.35.112. eCollection 2021.
The unknowingness of COVID-19 compared to other respiratory diseases and gaining an overview of its diagnostic criteria led to this study, which was designed to summarize the signs and symptoms along with the clinical tests that described these patients. PubMed\MEDLINE, Web of Science, Core Collection, Scopus, and Google Scholar were systematically searched on September 27, 2020. After screening, we selected 56 articles based on clinical characteristics and laboratory and imaging findings in confirmed COVID-19 patients as eligibility criteria. To evaluate risk of bias, the Newcastle Ottawa scale, for publication bias, Egger's test, and for heterogeneity, I2 and tau test were used; and finally, random-effects models were used for pooled estimation. Pooled estimates for frequently clinical symptoms were as follows: fever (78% [95% CI, 74-82]), cough (60% [95% CI, 57-63]), and fatigue (31% [95% CI, 26-36]); and they were as follows for laboratory findings in lymphocyte (1.02 [95% CI, 0.92-1.12]), CRP (19.64 [95% CI, 13.96- 25.32]), and platelet count (175.2 [95% CI, 165.2-185.2]); they were as follows for imaging findings in bilateral pneumonia (64% [95% CI, 56-72]), and ground glass opacity (60% [95% CI, 48-7]). Also, in the subgroup analysis, bilateral pneumonia with 18% and fatigue with 15%, had the highest difference in values between the groups. According to Forest plots, the CI and dispersion among studies were smaller in laboratory findings than in symptom and imaging findings, which might indicate a high alignment in the laboratory findings among studies.
与其他呼吸道疾病相比，新型冠状病毒肺炎（COVID-19）的未知性以及对其诊断标准的概述促成了本研究，该研究旨在总结确诊COVID-19患者的体征和症状以及描述这些患者的临床检查。于2020年9月27日对PubMed\MEDLINE、科学网核心合集、Scopus和谷歌学术进行了系统检索。筛选后，我们根据确诊COVID-19患者的临床特征、实验室及影像学检查结果作为纳入标准，选取了56篇文章。为评估偏倚风险，使用了纽卡斯尔渥太华量表评估发表偏倚，使用Egger检验评估异质性，使用I²和tau检验评估异质性；最后，采用随机效应模型进行合并估计。常见临床症状的合并估计如下：发热（78%[95%CI，74 - 82]）、咳嗽（60%[95%CI，57 - 63]）和疲劳（31%[95%CI，26 - 36]）；实验室检查结果如下：淋巴细胞（1.02[95%CI，0.92 - 1.12]）、C反应蛋白（19.64[95%CI，13.96 - 25.32]）和血小板计数（175.2[95%CI，165.2 - 185.2]）；影像学检查结果如下：双侧肺炎（64%[95%CI，56 - 72]）和磨玻璃影（60%[95%CI，48 - 7]）。此外，在亚组分析中，双侧肺炎（18%）和疲劳（15%）在组间的值差异最大。根据森林图，实验室检查结果的研究间CI和离散度比症状和影像学检查结果小，这可能表明研究间实验室检查结果的一致性较高。
