Literature DB >> 35909298

Clinical manifestations of COVID-19: An overview of 102 systematic reviews with evidence mapping.

Xufei Luo1, Meng Lv2,3,4, Xianzhuo Zhang5, Janne Estill6,7, Bo Yang8, Ruobing Lei2,3,4, Mengjuan Ren1, Yunlan Liu1, Ling Wang1, Xiao Liu1, Qi Wang9,10, Min Meng2,3,4,11, Yaolong Chen1,2,12,13,14,15,16,17,18,19.   

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.
© 2022 Chinese Cochrane Center, West China Hospital of Sichuan University and John Wiley & Sons Australia, Ltd.

Entities:  

Keywords:  COVID-19; SARS-CoV-2; clinical manifestations; evidence map; systematic review

Mesh:

Year:  2022        PMID: 35909298      PMCID: PMC9353366          DOI: 10.1111/jebm.12483

Source DB:  PubMed          Journal:  J Evid Based Med        ISSN: 1756-5391


INTRODUCTION

Human coronaviruses have in the past caused widespread outbreaks of serious diseases, such as severe acute respiratory syndrome (SARS) and Middle East respiratory syndrome (MERS). At the end of 2019, a novel coronavirus was identified as the etiology of a group of cases of pneumonia. The virus spread rapidly, resulting in an epidemic throughout China, followed by an increasing number of cases in other countries throughout the world. In February 2020, the World Health Organization (WHO) named the coronavirus disease 2019 (COVID‐19). The virus that causes COVID‐19 has been given the name severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2). On January 30, 2020, the WHO declared the outbreak a Public Health Emergency of International Concern (PHEIC) and on 11 March 2020, a pandemic. As of August 10, 2021, the reported cumulative COVID‐19 death toll surpassed four million lives, and the pace of deaths is accelerating. COVID‐19 pandemic is becoming regular in our lives. Clinical symptoms are the external manifestations of the disease and are important for the diagnosis, treatment, and evaluation of the disease. Pneumonia is the most common manifestation in patients with COVID‐19, characterized primarily by fever, fatigue, dry cough, dyspnea, and other similar symptoms. Some patients also exhibit gastrointestinal symptoms, such as anorexia, nausea, vomiting, and diarrhea. Ocular manifestations have also been reported in some COVID‐19 patients. Since the end of March 2020, skin manifestations and loss of sense of smell and taste have also been reported in patients with COVID‐19. , As of April 20, 2021, several systematic reviews of the symptoms of COVID‐19 have been published. , , , , However, none of these have attempted to describe the full range of clinical manifestations of COVID‐19. Evidence mapping is a method to summarize the evidence. It consists of a comprehensive search of the relevant research, systematical summarization of the basic characteristics and results of various types of studies, and an accurate visual representation of the evidence, progress, and problems in the field, to provide a comprehensive picture of research in the field and improve the effectiveness and usefulness of research in the field. This study aimed to summarize the existing knowledge on clinical manifestations of COVID‐19 using evidence mapping to present a full picture of the clinical manifestations of COVID‐19 patients to provide a basis for clinical practice.

METHODS

Registration and reporting guideline

This study has been prospectively registered in the PROSPERO, and the registration number is CRD42021251418. We conducted this overview with an evidence mapping study following the guideline of Campbell Collaboration. We used the Preferred Reporting Items for Systematic Reviews and Meta‐analyses (PRISMA) guidelines for reporting of methods and findings of this study (Supplementary Material 1).

Eligibility criteria and literature search

Systematic reviews were included if they met one of the following criteria: (1) systematic reviews with meta‐analyses that pooled the incidence of different clinical manifestations of COVID‐19; (2) systematic review with the proportions of different clinical manifestations of COVID‐19. If the format of Population, Intervention, Comparison, Outcomes, and Study design (PICOS) is used to present our research questions, P is for COVID‐19 patients, I and C are not applicable, and O is different clinical manifestations of COVID‐19 patients, and S is systematic review. We excluded studies on traditional Chinese medicine; studies focusing on other diseases in patients with COVID‐19. We also excluded the systematic reviews that were not able to extract the incidence of COVID‐19 symptoms and systematic reviews that were not able to access the full text after contacting the corresponding authors by email. The definition of the systematic review was determined according to the criteria of the Cochrane Handbook. We searched MEDLINE via PubMed, Web of Science, Embase, and Cochrane library on March 16, 2021, with the terms [“2019‐nCoV” OR “novel coronavirus” OR “COVID‐19” OR “SARS‐CoV‐2” OR “2019 novel coronavirus”] AND [“systematic review” OR “meta‐analysis” OR “literature review”] AND [“characteristics” OR “features” OR “manifestations” OR “presentation” OR “symptoms”] published between January 1, 2020 and March 16, 2021 without any language restriction (see Supplementary Material 2 for details of search strategies). We also searched Google Scholar, the WHO database of publications on COVID‐19 (https://www.who.int/emergencies/diseases/novel‐coronavirus‐2019/global‐research‐on‐novel‐coronavirus‐2019‐ncov), and the reference lists of the included studies to find reports of additional studies. All searches were conducted independently by two separate reviewers (XL and XZ), and if the number of searches was inconsistent, the two reviewers searched together and determined the results.

Study selection

Two reviewers (XL and ML) independently screened the titles, abstracts and full texts based on the inclusion and exclusion criteria. Before the screening, the two reviewers (XL and ML) performed a pretest extraction of 100 papers until an agreement on the screening process was reached. Disagreements were resolved by discussion with a third reviewer (YC). If the full text was not available, we contacted the authors to request the full text or further details. All screening was done using EndNote 20 software (Bld16742, Copyright © 1988–2021 Clarivate Analytics) except for full text.

Data extraction and quality appraisal

Two groups of two reviewers (YL and ML, MR and LW) independently extracted the data. We extracted the following basic information: (1) title, (2) first author and his/her country, (3) journal, (4) the number of included studies, (5) study design of included studies, and (6) sample size; and the following information on the results: manifestations outcomes and related statistical indicators (prevalence, effect size, 95% confidence interval (CI), I 2, P). If essential information was missing, we contacted the author to get the data, or used data conversion to the largest possible extent. Data that could not be obtained were discarded. We assessed the methodological quality of the included systematic reviews using the “A MeaSurement Tool to Assess systematic Reviews” (AMSTAR) instrument. The AMSTAR score has a total of 11 points, with studies scoring between 9 and 11 being of high quality, studies scoring between 6 and 8 of medium quality, and studies scoring between 0 and 5 of low quality. Quality assessments were done by two independent reviewers (XL and RL) and were determined by consulting a third reviewer (YC) in case of inconsistency.

Data analysis

We presented the general characteristics of the included studies descriptively. We calculated the ranges for the proportion of COVID‐19 patients having different symptoms. We presented the outcomes visually using a human anatomy diagram and a heat map. The heat map was prepared using Microsoft Excel 2016 software, and the human anatomy diagram was done using the Edraw Software (https://www.edrawsoft.com/). The clinical characteristics of COVID‐19 patients were divided into five parts according to the different systems of the body: (1) respiratory symptoms; (2) neurological symptoms; (3) gastrointestinal symptoms; (4) cutaneous symptoms, and (5) ocular symptoms. We also divided the population into three categories, namely the general population, neonates, children and adolescents, and pregnant women. The pooled prevalence estimate (PPE) will be performed for each symptom using the Comprehensive Meta‐analysis software, and if possible, we will examine the differences in prevalence by country, age, and gender.

RESULTS

Results of study selection

Our initial search revealed 2811 records, 759 of which were excluded as duplicates. After screening the titles and abstracts, 1897 of the remaining studies were excluded because of not related to COVID‐19. We reviewed the full texts of the remaining 155 articles and excluded 53 irrelevant articles, 38 articles that did not pool clinical symptoms, and five articles that only reported on complications. Finally, we identified 102 systematic reviews related to the clinical symptoms of COVID‐19. Figure 1 shows the flow of search and selection. Supplementary Material 3 presents a list of the inclusion and exclusion of systematic reviews.
FIGURE 1

Flow chart of the literature search and selection

Flow chart of the literature search and selection

Characteristics of the included studies

Ninety‐three (91.2%) of the 102 studies were systematic reviews with meta‐analyses, the others have calculated percentages of different kinds of symptoms but no meta‐analysis. They were published between March 11, 2020 and March 4, 2021, with 89 (87.3%) of them in 2020. One hundred and two studies were conducted mainly in 26 countries or regions, 28 (27.5%) of the studies were conducted in China; 16 (15.7%) in Iran; 8 (7.8%) in India; 7 (6.9%) in the United States; five (4.9%) in the United Kingdom; four (3.9%) each in Italy and Brazil; three (2.9%) each in Malaysia, Nigeria, and Republic of Korea; two (2.0%) each in Colombia, Nepal, Canada, Egypt, and France; and one (1.0%) each in Singapore, Indonesia, Philippines, Switzerland, Ethiopia, Turkey, Australia, Bangladesh, Peru, Kuwait, and the United Arab Emirates. Most included systematic reviews (n = 74, 72.5%) focused on the general populations of COVID‐19, 15 (14.7%) systematic reviews focused on neonates, children, and adolescents, and 13 (12.8%) were pregnant women. The number of studies included in the systematic reviews varied from 5 to 349, and the sample size included varied from 33 to 280,000 COVID‐19 patients, and the types of studies included were mainly case reports, case series, and other observational studies. Table 1 describes the characteristics of the included studies.
TABLE 1

Characteristics of the included systematic reviews and meta‐analyses

Research IDPublished/online dateCountry/region of First AuthorPatientsJournal title abbreviationsNumber of included primary studiesNumber of participantsAge of participants (in years; range or mean)Female
Hashan et al.2021/3/1AustraliaGeneral populationsEClinicalMedicine4925,567Mean: 81.5 yearsNA
Shehab et al.2021/3/4KuwaitGeneral populationsBMJ Open Gastroenterol15878,798Mean: 66.6 years45.20%
Soltani et al.2021/1/12IranGeneral populationsRev Neurosci143148Ranged from 19 to 95 yearsNA
Kouhsari et al.2020/11/4IranGeneral populationsIndian J Med Microbiol508815Mean: 46 years46%
Soheili et al.2021/2/18IranPregnant womenJ Matern Fetal Neonatal Med11177NA100%
Irfan et al.2021/2/16CanadaNeonates, children and adolescentsArch Dis Child12910,251Mean: 7 years44.50%
Zhong et al.2021/2/5ChinaGeneral populationsMedicine402459NA37.70%
Hassanipour et al.2020/12/21IranPregnant womenInt J Reprod Biomed10135Ranged from 22 to 42 years100%
Xie et al.2020/12/4ChinaGeneral populationsAnn Palliat Med9016,526Ranged from 37 to 68 years46.90%
Olumade et al.2021/2/5NigeriaGeneral populationsJ Med Virol74499NA31.20%
Nasiri et al.2021/1/20IranGeneral populationsJ Ophthalmic Vis Res388219NA55.30%
Israfil et al.2021/1/11BangladeshGeneral populationsFront Public Health3410,889Mean 50.6 years39.70%
Goel et al.2021/1/27IndiaGeneral populationsObstet Gynecol Sci73231Ranged from 47 to 62 years44.85%
Lee et al.2020/12/15USAGeneral populationsDermatol Online J71144Mean: 45.9 years46.50%
Nazari et al.2021/1/9IranGeneral populationsBrain Behav6411,687Mean 48.6 years47.60%
Jafari et al.2020/12/1IranPregnant womenRev Med Virol349138,176Mean age 51.2 (nonpregnant) Mean age 33 (pregnant)100%
Khamis et al.2020/12/3United Arab EmiratesGeneral populationsJ Formos Med Assoc3510,972NANA
Islam et al.2020/11/27MalaysiaGeneral populationsFront Neurol8614,275Ranged from 35.0 ± 8.0 to 70.7 ± 13.5 years49.40%
Merola et al.2020/10/12ItalyGeneral populationsActa Gastroenterol Belg334434NANA
Saniasiaya et al.2020/12/15MalaysiaGeneral populationsOtolaryngol Head Neck Surg5929,349Ranged 28.0 ± 16.4 to 66.4 ± 14.9 years64.40%
Ciaffi et al.2020/10/28ItalyGeneral populationsBMC Rheumatol88 (51 in meta)NANANA
Silva et al.2020/11/25BrasilGeneral populationsRev Soc Bras Med Trop4318,246NANA
Wang et al.2020/11/25ChinaGeneral populationsMedicine254881NANA
Li et al.2020/11/2ChinaNeonates, children and adolescentsFront Pediatr96(54 in meta)7004NANA
Novoa et al.2021/2/2PeruPregnant womenTravel Med Infect Dis37(4 in meta)322range 20−45100%
Saniasiaya et al.2020/12/5MalaysiaGeneral populationsLaryngoscope8327,492NANA
Karabay et al.2020/11/19TurkeyNeonates, children and adolescentsJ Matern Fetal Neonatal Med35NANANA
Aggarwal et al.2020/11/5IndiaGeneral populationsPLoS One162347NANA
Alimohamadiÿ et al.2020/10/6IranGeneral populationsJ Prev Med Hyg54NANANA
Cagnazzo et al.2020/10/30FranceGeneral populationsJ Neurol3968,361Mean age 64.449%
Yee et al.2020/10/22Republic of KoreaGeneral populationsSci Rep119370NANA
Favas et al.2020/12/1IndiaGeneral populationsNeurol Sci212(74 in meta)NANANA
Collantes et al.2020/7/15PhilippinesGeneral populationsCan J Neurol Sci496335NANA
Ibekwe et al.2020/9/11NigeriaGeneral populationsOTO Open3220,451NANA
Amorim et al.Feb‐21BrazilGeneral populationsJ Dent Res4010,228NANA
Panda et al.2020/9/10IndiaNeonates, children and adolescentsJ Trop Pediatr263707Range: 0–18 yearsNA
Allotey et al.2020/9/1UKPregnant womenBMJ7796,604NA100%
Ochoa et al.2021/1/4ColombiaGeneral populationsAm J Epidemiol97230,39840 (11) years69.98%
Hasani et al.2020/8/14IranGeneral populationsBiomed Res Int303420NANA
Khalil et al.2020/8/25UKpregnant womenEClinicalMedicine86NANA100%
Kaur et al.2020/7/9IndiaGeneral populationsSN Compr Clin Med506635NANA
Jutzeler et al.2020/7/27SwitzerlandGeneral populationsTravel Med Infect Dis14812,149Median age: 47 years47.20%
Kumar et al.Jun‐20IndiaGeneral populationsIndian J Gastroenterol62830148.7(16.5)46%
Gao et al.2020/8/3ChinaPregnant womenBMC Infect Dis14236NANA
Chen et al.Feb‐21ChinaGeneral populationsJ Neurol100NANANA
Pormohammad et al.Oct‐20CanadaGeneral populationsMicrob Pathog8061,742NANA
Zarifian et al.Jan‐21IranGeneral populationsJ Med Virol6713,251NA53.30%
Abdullahi et al.2020/6/26NigeriaGeneral populationsFront Neurol6011,069NANA
Koh et al.2020/6/11SingaporeGeneral populationsFront Med29578NANA
Meena et al.2020/9/15IndiaNeonates, children and adolescentsIndian Pediatrics2748576.4 (3.4) years43%
Tahvildari et al.2020/5/15IranGeneral populationsFront Med80417Mean: 49 yearsNA
Grant et al.2020/6/23UKGeneral populationsPlos One14824,41049 (11) years45.50%
Wang et al.2020/5/1ChinaNeonates, children and adolescentsAnn Transl Med491667NA42.70%
Ma et al.2021/1/1ChinaNeonates, children and adolescentsJ Med Virol15486NA40.70%
Parasa et al.2020/6/1USAGeneral populationsJAMA Netw Open294805Mean 52.2 years33.20%
Wan et al.2020/7/1ChinaGeneral populationsAcad Radiol141115NANA
Park et al.2020/5/1Republic of KoreaGeneral populationsClin Exp Otorhinolaryngol9627NA45.00%
Sultan et al.2020/7/1USAGeneral populationsGastroenterology57NANANA
Mao et al.2020/7/1ChinaGeneral populationsLancet Gastroenterol Hepatol356686NANA
Hu et al.2020/6/1ChinaGeneral populationsJ Clin Virol2147,344NA48.40%
Chang et al.2020/5/1Taiwan, ChinaNeonates, children and adolescentsJ Formos Med Assoc993NA48.40%
Zhu et al.2020/10/1ChinaGeneral populationsJ Med Virol383062NA43.10%
Fu et al.2020/6/1ChinaGeneral populationsJ Infect433600Median: 41 years43.50%
Cheung et al.2020/7/1HongKong, ChinaGeneral populationsGastroenterology694875Median: 45.1 years42.70%
Cao et al.2020/9/1ChinaGeneral populationsJ Med Virol3146,959Median: 46.62 years44.40%
Morales et al.2020/3/11ColombiaGeneral populationsTravel Med Infect Dis58NANANA
Li et al.2020/6/1ChinaGeneral populationsJ Med Virol101994NA42.40%
Sun et al.2020/6/1ChinaGeneral populationsJ Med Virol1050,466NA48.00%
Daha et al.2020/6/1NepalGeneral populationsTrop Biomed402735NA45.20%
Elshazli et al.2021/2/2EgyptGeneral populationsJ Med Virol12525,252Mean 52.1 years47.80%
Mansourian et al.2021/1/9IranNeonates, children and adolescentsArch Pediatr32759NA47.40%
Badal et al.2020/12/8USANeonates, children and adolescentsJ Clin Virol201810Median age 842.74%
Chi et al.2021/2/1ChinaGeneral populationsArch Gynecol Obstet20386NANA
Sameni et al.2020/10/29IranGeneral populationsFront Med432621NANA
Wong et al.2020/11/13Hong Kong, ChinaGeneral populationsSci Rep7611,028NANA
Han et al.2020/11/26ChinaPregnant womenJ Perinat Med361103NA100%
Sheleme et al.2020/9/10EthiopiaGeneral populationsInfect Dis (Auckl)304829Range: 0.25–94 years47.40%
Bennett et al.2020/9/23UKGeneral populationsInt J Clin Pract4514,358Average age 51 years49%
Nasiri et al.2020/7/21IranGeneral populationsFront Med345057NANA
Li et al.Mar‐21ChinaGeneral populationsJ Med Virol212281,461NANA
Yasuhara et al.Oct‐20USANeonates, children and adolescentsPediatr Pulmonol46114Range: 0–16 yearsNA
Ding et al.2020/7/3ChinaNeonates, children and adolescentsFront Pediatr33396Range: 0–17 years56.30%
Nepal et al.2020/7/13NepalGeneral populationsCrit Care37NANANA
Matar et al.2021/2/1USAPregnant womenClin Infect Dis24136Range: 25–34100%
Pinzon et al.2020/5/29IndonesiaGeneral populationsFront Neurol337559NANA
Mantovani et al.2020/6/17ItalyNeonates, children and adolescentsPediatr Res192855Mean age 6.9 ± 7.0 years49.70%
Wang et al.2020/10/1ChinaGeneral populationsJ Neurol41NANANA
Kim et al.2020/11/1Republic of KoreaGeneral populationsEur Rev Med Pharmacol Sci1633Median age 6645.50%
Makvandiet al.2020IranPregnant womenGastroenterol Hepatol Bed Bench43374NA100%
Mesquita et al.2020/11/26BrasilGeneral populationsWien Klin Wochenschr15241,409NANA
Jindal et al.2020/9/30IndiaGeneral populationsJ Family Med Prim Care44458NANA
Mirza et al.2020/11/3USANeonates, children and adolescentsInt J Dermatol862560NANA
Ibrahim et al.2020/10/21EgyptGeneral populationsCNS spectr20NANANA
Turan et al.Oct‐20UKPregnant womenInt J Gynaecol Obstet63637NA100%
Zhao et al.Nov‐20ChinaGeneral populationsJ Eur Acad Dermatol Venereol44507NANA
Matar et al.Nov‐20FranceGeneral populationsJ Eur Acad Dermatol Venereol561020NANA
Tsai et al.2020/5/19Taiwan, ChinaGeneral populationsFront Neurol92NANANA
Souza et al.2020/8/1BrazilNeonates, children and adolescentsPediatr Pulmonol381124NA42.60%
Passarelli et al.2020/6/1ItalyGeneral populationsAm J Dent510,818NANA
Kasraeian et al.2020/5/19IranPregnant womenJ Matern Fetal Neonatal Med987Median age: 30 years100%
Yang et al.2020/4/30ChinaPregnant womenJ Matern Fetal Neonatal Med18114NA100%
Yang et al.2020/5/1ChinaGeneral populationsInt J Infect Dis71576Median: 49.6 years43.50%

References of Table 1 are listed in Supplementary Material 3.

NA, not available.

Characteristics of the included systematic reviews and meta‐analyses References of Table 1 are listed in Supplementary Material 3. NA, not available. According to the AMSTAR scores, among the one hundred and two reviews included, 68 studies (66.7%) were of high quality, 19 studies (18.6%) of medium‐quality, and 15 studies (14.7%) of low quality (Supplementary Material 4). The main reasons for low quality include lack of prospective registration, failure to report on conflict of interests, and nonrepeatable data extraction and screening processes, etc.

Respiratory symptoms

Seventeen different respiratory symptoms were reported in 71 systematic reviews and meta‐analyses. Cough was reported in 40 systematic reviews in the general populations, 13 in neonates, children, and adolescents, and 15 in pregnant women; sore throat was reported in 29 systematic reviews in the general populations, 8 in neonates, children, and adolescents, and 10 in pregnant women; dyspnea was reported in 49 systematic reviews, of which, 9 related to neonates, children, and adolescents, 11 related to pregnant women, and the others were in the general populations. The remaining 14 symptoms are detailed in Figure 2A and Supplementary Material 5.
FIGURE 2

Human anatomy diagram of COVID‐19 manifestations. (A) Respiratory symptoms; (B) neurological symptoms; and (C) gastrointestinal symptoms

Human anatomy diagram of COVID‐19 manifestations. (A) Respiratory symptoms; (B) neurological symptoms; and (C) gastrointestinal symptoms The most common symptoms of the respiratory system were cough (PPE = 53.6%, 95%CI, 52.1%−55.1%), sore throat (PPE = 12.4%, 95%CI, 9.8%−15.7%), dyspnea (PPE = 19.8%, 95%CI, 18.2%−21.6%), and expectoration (PPE = 23.4%, 95%CI, 21.6%−25.3%) (Figure 2A). Prevalence of cough was inconsistent across systematic reviews, ranging between 30.0% and 72.2%. The corresponding prevalence estimate for sore throat was 0.8%−32.0%, for dyspnea 1.0%−74.0% and for expectoration 1.5%−41.8%. The prevalence estimates for cough, sore throat, dyspnea and expectoration were lower in neonates, children and adolescents and pregnant women than in the general populations (Table 2, Supplementary Material 5 and 6).
TABLE 2

Meta‐analyses of symptoms of COVID‐19

No.SymptomsNumber of SRsPooled prevalenceLCIUCI p Value
1Cough6853.60%52.10%55.10%0.000
2Fever6864.60%61.30%67.90%0.000
3Diarrhea638.10%7.30%9.10%0.000
4Headache5811.10%9.00%13.80%0.000
5Muscle soreness5618.70%16.30%21.30%0.000
6Fatigue5229.40%27.50%31.30%0.000
7Dyspnea5019.80%18.20%21.60%0.000
8Sore throat4712.40%9.80%15.70%0.000
9Vomiting425.50%4.70%6.30%0.000
10Nausea376.70%6.00%7.40%0.000
11Expectoration3223.40%21.60%25.30%0.000
12Dizziness287.20%5.30%9.70%0.000
13Tachypnea2621.20%19.80%22.60%0.000
14Abdominal pain263.70%2.80%4.80%0.000
15Rhinorrhea247.00%6.10%8.00%0.000
16Ageusia2317.40%12.50%23.80%0.000
17Anorexia2112.90%10.00%16.60%0.000
18Anosmia2018.70%12.20%27.40%0.000
19Nasal congestion195.10%3.90%6.80%0.000
20Hemoptysis181.80%1.20%2.80%0.000
21Chest pain175.80%4.60%7.40%0.000
22Chest distress1412.70%8.90%17.90%0.000
23Chillness1410.60%8.00%13.90%0.000
24Malaise1012.10%7.00%19.90%0.000
25Confusion106.40%4.10%9.90%0.000
26Arthralgia87.50%5.20%10.80%0.000
27Rash814.00%6.80%26.60%0.000
28Tachycardia62.10%1.70%2.70%0.000
29Chilblains‐like524.60%12.20%43.30%0.010
30Livedo54.60%3.30%6.50%0.000
31Conjunctivitis55.50%2.90%10.20%0.000
32Pharyngeal erythema412.10%8.00%17.80%0.000
33Hypoxia44.00%0.40%29.50%0.007
34Urticaria416.80%14.30%19.70%0.000
35Sneeze34.40%0.50%29.60%0.006
36Rigor32.00%0.10%37.80%0.025
37Hypothermia324.80%8.70%53.20%0.079
38Delirium317.50%15.20%20.10%0.000
39Constipation35.50%5.20%5.80%0.000
40Papulosquamous35.80%1.70%18.20%0.000
41Erythematous333.90%21.20%49.40%0.043
42Pruritic341.30%17.20%70.30%0.569
43Cyanosis32.00%0.30%11.30%0.000
44Conjunctival congestion33.80%0.90%13.90%0.000
45Eye pain36.90%1.90%22.60%0.000
46Blurred vision31.20%0.00%26.50%0.011
47Wheezing216.90%15.40%18.60%0.000
48Chickenpox‐like Vesicles216.20%13.50%19.40%0.000
49Petechia23.50%0.90%12.50%0.000
50Edematous26.90%3.70%12.30%0.000
51Vesicular211.80%7.80%17.40%0.000
52Dry eyes214.50%12.20%17.20%0.000
53Eye itching29.20%4.80%16.80%0.000
54Photophobia24.80%2.00%11.00%0.000
55Chemosis24.50%3.90%5.30%0.000
56Lid edema21.60%0.60%4.20%0.000
57Dysphonia112.40%8.30%18.10%0.000
58Belching10.20%0.10%0.40%0.000
59Dysacousis11.60%0.00%97.60%0.301
60Drowsiness142.60%32.70%53.20%0.169
61Numbness15.80%0.20%65.40%0.110
62Insomnia11.80%0.20%12.00%0.000
63Syncope15.60%4.30%7.20%0.000
64Back pain110.00%9.50%10.60%0.000
65Otalgia14.00%1.20%12.30%0.000
66Heartburn13.60%3.40%3.80%0.000
67Hematemesis19.10%8.80%9.50%0.000
68Melena15.30%5.00%5.60%0.000
69Hematochezia10.60%0.50%0.70%0.000
70Goosebumps113.50%11.70%15.50%0.000
71Pustule11.80%0.20%12.00%0.000
72Scales17.40%2.80%18.10%0.000
73Ulcer11.80%0.20%12.00%0.000
74Tearing112.80%10.80%15.10%0.000

SR, systematic review; LCI, lower 95% confidence intervals; UCI, upper 95% confidence intervals.

Meta‐analyses of symptoms of COVID‐19 SR, systematic review; LCI, lower 95% confidence intervals; UCI, upper 95% confidence intervals.

Neurological symptoms

Eighty‐eight systematic reviews and meta‐analyses covered a total of 21 different neurological symptoms: fever (67 studies), headache (58 studies), muscle soreness (56 studies), fatigue (52 studies), dizziness (28 studies), ageusia (23 studies), anosmia (20 studies), chillness (14 studies), confusion (10 studies), malaise (10 studies), arthralgia (8 studies), delirium (3 studies), rigor (3 studies), hypothermia (3 studies), dysacousis (1 study), back pain (1 study), drowsiness (1 study), numbness (1 study), otalgia (1 study), insomnia (1 study), and syncope (1 study) (Supplementary Material 5). Fever (PPE = 64.6%, 95%CI, 9.8%−15.7%), fatigue (PPE = 29.4%, 95%CI, 27.5%−31.3%), headache (PPE = 11.1%, 95%CI, 9.0%−13.8%), and muscle soreness (PPE = 18.7%, 95%CI, 16.3%−21.3%) were the most common (Figure 2B). Prevalence of fever was above 80% in most studies, reaching up to 91.3%; the lowest reported value, 27.6%, was in a study on pregnant women. The prevalence of fatigue ranged between 3.3% and 58.5%, headache ranged between 0.1% and 67.0%, and the prevalence of muscle soreness between 3.0% and 44.0%; the lowest reported prevalence for both conditions was among pregnant women and neonates, children and adolescents. The prevalence of the remaining symptoms is detailed in Table 2 and Supplementary Material 5 and 6.

Gastrointestinal symptoms

A total of 10 gastrointestinal symptoms were reported in 67 systematic reviews and meta‐analyses. Diarrhea was reported in 63 systematic reviews and meta‐analyses (PPE = 8.1%, 95%CI, 7.3%−9.1%), vomiting in 42, nausea in 37, anorexia in 21, abdominal pain in 26, constipation in 3 studies, and 1 each in heartburn, hematemesis, melena, and hematochezia. The prevalence of diarrhea ranged between 0.1% and 19.6% (Figure 2C). Nausea (1.2%−27.0%) and vomiting (1.2%−20.0%) occurred often together. The prevalence of gastrointestinal symptoms is generally less than 20% and does not differ from the general population in neonates, children and adolescents, or pregnant women (Table 2 and Supplementary Material 5 and 6).

Cutaneous and ocular symptoms

Thirteen systematic reviews and meta‐analyses reported 16 cutaneous symptoms (Supplementary Material 5). Rash was the most common symptom reported in nine studies, and the prevalence of cutaneous symptoms according to those reviews was generally less than 20% (Figure 3B). The symptoms of the eyes were as low in incidence as those of the cutaneous. A total of 10 ocular symptoms were reported in 8 systematic reviews and meta‐analyses (Figure 3A). The ocular symptoms were relatively rare in neonates, children and adolescents, and pregnant women, and the overall prevalence was low, between 5% and 20% (Table 2 and Supplementary Material 5).
FIGURE 3

Human anatomy diagram of COVID‐19 manifestations. (A) Ocular symptoms and (B) cutaneous symptoms

Human anatomy diagram of COVID‐19 manifestations. (A) Ocular symptoms and (B) cutaneous symptoms

DISCUSSION

Principal findings

Our study identified 74 different clinical manifestations of COVID‐19 in 102 systematic reviews and meta‐analyses. The most common respiratory symptoms were cough, sore throat, dyspnea, and expectoration, and the most common symptoms of neurological symptoms were fever, fatigue, headache, and muscle soreness. The gastrointestinal system included diarrhea, nausea, and vomiting, and we also identified some other symptoms such as manifestations of the eyes or skin. The prevalence of the same condition tended to vary broadly across the different systematic reviews and population groups, and lower prevalence of symptoms in pregnant women and neonates, children and adolescents than in the general population. Clinical symptoms are important for the diagnosis of a disease. There is no doubt that fever, cough, and fatigue are the three most prevalent symptoms of COVID‐19 patients. Many studies have estimated the prevalence of different symptoms of SARS‐CoV‐2 infection. Like in the case of SARS‐CoV and MERS‐CoV, cough and fever are the most common symptoms, which can be caused also by many other causes, such as common flu. , An accurate diagnosis of COVID‐19 therefore often requires a combination of clinical symptoms, laboratory tests and CT findings. Attention in the diagnosis should also be paid to the differentiation of clinical manifestations associated with comorbidities, such as hypertension, diabetes, and coronary heart disease. The clinical symptoms of COVID‐19 vary across population groups. One systematic review suggested that children appear to have a less severe course and better prognosis than adults, and deaths in children are extremely rare. In addition, the multisystem inflammatory syndrome in children (MIS‐C) should be given more attention when diagnosing children with COVID‐19, in addition to symptoms similar to those of adults. Studies have shown that pregnant women's symptoms are essentially the same as in the general population, but the prevalence was lower. , At the same time, gastrointestinal symptoms, eye symptoms and skin symptoms are relatively less common in pregnant women. The diagnosis of SARS‐CoV‐2 infection in asymptomatic patients requires special attention. Many asymptomatic patients have been reported worldwide. Nishiura et al. estimated the proportion of asymptomatic patients was 30.8% (95% CI, 7.7%−53.8%). Hu et al. found that the course of illness was milder in asymptomatic cases than in other cases. However, the asymptomatic carriers may be a challenge to containment for COVID‐19 transmission. Asymptomatic people can transmit SARS‐CoV‐2 to others for a long time, perhaps more than 14 days. Therefore, it is important to screen asymptomatic SARS‐CoV‐2 carrier populations, when resources are available, to minimize the chance of infection, although it may raise the treatment cost31. Our study identified some unusual symptoms, such as skin (livedo, cyanosis, edematous, etc.) and eye manifestations (conjunctivitis, blurred vision, eye pain, etc.). However, because such symptoms were rarely reported during the pre‐epidemic period, they can be easily overlooked. Patients with unusual symptoms are not easily screened and diagnosed; therefore, understanding and knowing these unusual symptoms, has important implications for the current improvement in the identification of SARS‐CoV‐2 infections. Besides, as the epidemic grows and some COVID‐19 variant strains emerge, some specific symptoms may appear. However, there is no relevant systematic review yet, and further updating of associated symptoms regarding COVID‐19 variant strains is needed in the future.

Implications for future research and practice

As the second wave of the outbreak rages on, countries need again to pay attention to finding as many infected patients as early as possible to cut the transmission chains and avoid a new wave of the epidemic. This means that even rare symptoms can be important in the screen and diagnosis. Our study found that many systematic reviews and meta‐analyses of different quality are being conducted for the same symptom, which may result in wasting research on COVID‐19, and before conducting systematic reviews of symptoms for researchers, we recommend retrieval to determine if a systematic review is already available on the PROSPERO website, and if not, it should be registered. For patients with COVID‐19 in the second wave of the epidemic, our study can provide a full picture of the symptoms map of COVID‐19 to inform the screening and diagnosis of patients. Furthermore, in the context of a global COVID‐19 epidemic, our study could help clinicians or stakeholders to identify COVID‐19 through some rare symptoms.

Strengths and limitations

To the best of our knowledge, this is the first evidence map to comprehensively review and summarize the clinical symptoms of COVID‐19. We systematically searched the main databases and performed a detailed analysis of the included literature. However, this study also has some limitations. First, because of the substantial overlap between the studies included in the systematic reviews, we have limited confidence in the pooled results of the meta‐analyses. Second, although we systematically searched the literature, there is a possibility that some studies were missed due to the constantly increasing number of COVID‐19 studies. Third, given that the frequency of COVID‐19 symptoms may be varied in different countries or territories due to different sources or genotypes of COVID‐19, we did not perform a subgroup analysis of symptoms in different geographical locations. However, this can provide information for tracing the origin of the SARS‐CoV‐2 virus. To address the above limitations, we believe it is meaningful and necessary to conduct a living systematic review of the symptoms of COVID‐19 patients.

Conclusion

In conclusion, COVID‐19 is associated with at least 74 different clinical manifestations, the most common of which are fever, cough, muscle soreness, and fatigue. In addition, some symptoms, despite being rare, may be useful in the early diagnosis of COVID‐19 in patients who otherwise have no or only mild symptoms. Future research should pay particular attention to these rare symptoms to help treat the infected patients and control the epidemic.

CONFLICT OF INTEREST

There are no relevant financial or nonfinancial competing interests to report. Supplementary Material 1 PRISMA checklist Click here for additional data file. Supplementary Material 2 Search Strategy Click here for additional data file. Supplementary Material 3 Systematic Reviews and Meta‐analyses included and excluded references of this study Click here for additional data file. Supplementary Material 4 AMSTAR scores and main conclusions of systematic reviews Click here for additional data file. Supplementary Material 5 Heat map for different symptoms of COVID‐19 Click here for additional data file. Supplementary Material 6 Subgroup analyses Click here for additional data file.
  27 in total

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