Evidence map›Paper›PMID 32283155›Full record

SynthesisThe Journal of infection2020

Clinical characteristics of coronavirus disease 2019 (COVID-19) in China: A systematic review and meta-analysis.

Leiwen Fu, Bingyi Wang, Tanwei Yuan, Xiaoting Chen, Yunlong Ao, Thomas Fitzpatrick, Peiyang Li, Yiguo Zhou, Yi-Fan Lin, Qibin Duan and 12 more

5 registry-linked trialsAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in The Journal of infection, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 5 registered trials, which are not on this map. Cited by 555 papers, 11 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
555citing papers in PubMed, 11 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT04432350 withdrawnnot on this map

Assessment of Mortality Rates in SARS-CoV-2 Infected Populations Treated With Repurposed Medications

TypeobservationalSponsorTabula Rasa HealthCareRan2020 to 2022Enrolled0ConditionsCOVID, Drug Effect, Drug Interaction, Risk Reduction
NCT04466670 phase2unknown statusnot on this map

Dynamics of Hemostatic Parameters in COVID-19 and Comparison of Intervention Strategies Through Adaptive Clinical Trial

TypeinterventionalSponsorUniversity of Sao Paulo General HospitalRan2020 to 2022Enrolled379ConditionsCOVID-19Armsacetylsalicylic acid, Unfractionated heparin nebulized
NCT04603742 phase2withdrawnnot on this mapstarted 2021, after this paper: background citation

Anakinra in Adults With Severe COVID-19 and Features of Cytokine Storm Syndrome: A Randomized, Double-blind, Placebo-controlled Trial

TypeinterventionalSponsorWeill Medical College of Cornell UniversityRan2021 to 2022Enrolled0ConditionsCovid19, Cytokine Storm, Mechanical Ventilation ComplicationArmsAnakinra, 0.9% Saline
NCT04663776 completednot on this map

Wide Scale Monitoring for Acute Respiratory Infection Using a Mobile-Based Study Platform

TypeobservationalSponsorBoston Children's HospitalRan2020 to 2021Enrolled16,000ConditionsCovid19, Influenza, Respiratory Tract Infections, Acute Respiratory Tract Infection
NCT04742946 naunknown statusnot on this mapstarted 2021, after this paper: background citation

Digital Physiotherapy Practice in Long Covid-19 Patients to Improve Functional Capacity and Quality of Life.

TypeinterventionalSponsorUniversidad de GranadaRan2021 to 2022Enrolled27ConditionsLong COVID-19 SyndromeArmsDigital Physiotherapy Practice (Telerehabilitation)
3 · Its place in the literature

Who cites it

555 citing papers in PubMed, 11 syntheses or guidelines pooled it.

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  15. COVID-19 Prophylactic Effect of Bromhexine Hydrochloride.Immunity, inflammation and disease · 2026
    Article
  16. Review
  17. Article
  18. Potential relationships between circulating gene expression ofJournal of Zhejiang University. Science. B · 2025
    Article
  19. Article
  20. Article

495 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

22 authors.

Leiwen FuSchool of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen 510080, China.
Bingyi WangSchool of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen 510080, China; State Key Laboratory of Food Nutrition and Safety, Tianjin University of Science & Technology, Tianjin, China; College of Food Science and Engineering, Tianjin University of Science & Technology, Tianjin, China.
Tanwei YuanSchool of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen 510080, China.
Xiaoting ChenGuangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China.
Yunlong AoGuangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China.
Thomas FitzpatrickDepartment of Internal Medicine, University of Washington, Seattle, Washington, USA.
Peiyang LiSchool of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen 510080, China.
Yiguo ZhouSchool of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen 510080, China.
Yi-Fan LinSchool of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen 510080, China; School of Mathematical and Physical Sciences/Statistics, The University of Newcastle, Callaghan, Australia.
Qibin DuanSchool of Mathematical Sciences, Queensland University of Technology, Brisbane, Australia; Kirby Institute, University of New South Wales, Sydney, Australia.
Ganfeng LuoSchool of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen 510080, China.
Song FanSchool of Public Health, Sun Yat-sen University, Guangzhou, China.
Yong LuSchool of Public Health, Sun Yat-sen University, Guangzhou, China.
Anping FengSchool of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen 510080, China.
Yuewei ZhanSchool of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen 510080, China.
Bowen LiangSchool of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen 510080, China.
Weiping CaiGuangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China.
Lin ZhangDepartment of Anesthesia and Intensive Care and Peter Hung Pain Research Institute, The Chinese University of Hong Kong, Hong Kong, China; Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China.
Xiangjun DuSchool of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen 510080, China.
Linghua LiGuangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China. Electronic address: llheliza@126.com.
Yuelong ShuSchool of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen 510080, China. Electronic address: shuylong@mail.sysu.edu.cn.
Huachun ZouSchool of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen 510080, China; Kirby Institute, University of New South Wales, Sydney, Australia; Shenzhen Center for Disease Control and Prevention, Shenzhen, China; School of Public Health, Shanghai Jiao Tong University,Shanghai, China. Electronic address: zouhuachun@mail.sysu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo better inform efforts to treat and control the current outbreak with a comprehensive characterization of COVID-19.

methodsWe searched PubMed, EMBASE, Web of Science, and CNKI (Chinese Database) for studies published as of March 2, 2020, and we searched references of identified articles. Studies were reviewed for methodological quality. A random-effects model was used to pool results. Heterogeneity was assessed using I

results43 studies involving 3600 patients were included. Among COVID-19 patients, fever (83.3% [95% CI 78.4-87.7]), cough (60.3% [54.2-66.3]), and fatigue (38.0% [29.8-46.5]) were the most common clinical symptoms. The most common laboratory abnormalities were elevated C-reactive protein (68.6% [58.2-78.2]), decreased lymphocyte count (57.4% [44.8-69.5]) and increased lactate dehydrogenase (51.6% [31.4-71.6]). Ground-glass opacities (80.0% [67.3-90.4]) and bilateral pneumonia (73.2% [63.4-82.1]) were the most frequently reported findings on computed tomography. The overall estimated proportion of severe cases and case-fatality rate (CFR) was 25.6% (17.4-34.9) and 3.6% (1.1-7.2), respectively. CFR and laboratory abnormalities were higher in severe cases, patients from Wuhan, and older patients, but CFR did not differ by gender.

conclusionsThe majority of COVID-19 cases are symptomatic with a moderate CFR. Patients living in Wuhan, older patients, and those with medical comorbidities tend to have more severe clinical symptoms and higher CFR.

Indexed as

ChinaCoronavirus InfectionsCOVID-19HumansPandemicsPneumonia, ViralRisk FactorsClinical characteristicsCOVID-19Meta-analysisSystematic review

Identifiers

PMID32283155
PMCPMC7151416

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.