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Clinical manifestations of COVID-19: An overview of 102 systematic reviews with evidence mapping.
Luo, Xufei; Lv, Meng; Zhang, Xianzhuo; Estill, Janne; Yang, Bo; Lei, Ruobing; Ren, Mengjuan; Liu, Yunlan; Wang, Ling; Liu, Xiao; Wang, Qi; Meng, Min; Chen, Yaolong.
  • Luo X; School of Public Health, Lanzhou University, Lanzhou, China.
  • Lv M; Chevidence Lab of Child & Adolescent Health, Department of Pediatric Research Institute, Children's Hospital of Chongqing Medical University, Chongqing, China.
  • Zhang X; National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Children's Hospital of Chongqing Medical University, Cho
  • Estill J; Chongqing Key Laboratory of Pediatrics, Chongqing, China.
  • Yang B; The First School of Clinical Medicine, Lanzhou University, Lanzhou, China.
  • Lei R; Institute of Global Health, University of Geneva, Geneva, Switzerland.
  • Ren M; Institute of Mathematical Statistics and Actuarial Science, University of Bern, Bern, Switzerland.
  • Liu Y; Department of Immune Programming and Management, Shapingba District Center for Disease Control and Prevention of Chongqing, Chongqing, China.
  • Wang L; Chevidence Lab of Child & Adolescent Health, Department of Pediatric Research Institute, Children's Hospital of Chongqing Medical University, Chongqing, China.
  • Liu X; National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Children's Hospital of Chongqing Medical University, Cho
  • Wang Q; Chongqing Key Laboratory of Pediatrics, Chongqing, China.
  • Meng M; School of Public Health, Lanzhou University, Lanzhou, China.
  • Chen Y; School of Public Health, Lanzhou University, Lanzhou, China.
J Evid Based Med ; 15(3): 201-215, 2022 Sep.
Article in English | MEDLINE | ID: covidwho-1968149
ABSTRACT

OBJECTIVE:

Coronavirus disease 2019 (COVID-19) has rapidly spread worldwide, but there is so far no comprehensive analysis of all known symptoms of the disease. Our study aimed to present a comprehensive picture of the clinical symptoms of COVID-19 using an evidence map.

METHODS:

We systematically searched MEDLINE via PubMed, Web of Science, Embase, and Cochrane library from their inception to March 16, 2021. We included systematic reviews reporting the clinical manifestations of COVID-19 patients. We followed the PRISMA guidelines, and the study selection, data extraction, and quality assessment were done by two individuals independently. We assessed the methodological quality of the studies using AMSTAR. We visually presented the clinical symptoms of COVID-19 and their prevalence.

RESULTS:

A total of 102 systematic reviews were included, of which, 68 studies (66.7%) were of high quality, 19 studies (18.6%) of medium quality, and 15 studies (14.7%) of low quality. We identified a total of 74 symptoms including 17 symptoms of the respiratory system, 21 symptoms of the neurological system, 10 symptoms of the gastrointestinal system, 16 cutaneous symptoms, and 10 ocular symptoms. The most common symptoms were fever (67 studies, ranging 16.3%-91.0%, pooled prevalence 64.6%, 95%CI, 61.3%-67.9%), cough (68 studies, ranging 30.0%-72.2%, pooled prevalence 53.6%, 95%CI, 52.1%-55.1%), muscle soreness (56 studies, ranging 3.0%-44.0%, pooled prevalence 18.7%, 95%CI, 16.3%-21.3%), and fatigue (52 studies, ranging 3.3%-58.5%, pooled prevalence 29.4%, 95%CI, 27.5%-31.3%). The prevalence estimates for COVID-19 symptoms were generally lower in neonates, children and adolescents, and pregnant women than in the general populations.

CONCLUSION:

At least 74 different clinical manifestations are associated with COVID-19. Fever, cough, muscle soreness, and fatigue are the most common, but attention should also be paid to the rare symptoms that can help in the early diagnosis of the disease.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study / Prognostic study / Reviews / Systematic review/Meta Analysis Limits: Adolescent / Child / Female / Humans / Infant, Newborn / Pregnancy Language: English Journal: J Evid Based Med Year: 2022 Document Type: Article Affiliation country: Jebm.12483

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study / Prognostic study / Reviews / Systematic review/Meta Analysis Limits: Adolescent / Child / Female / Humans / Infant, Newborn / Pregnancy Language: English Journal: J Evid Based Med Year: 2022 Document Type: Article Affiliation country: Jebm.12483