Evidence map›Paper›PMID 32162702›Full record

SynthesisJournal of medical virology2020

COVID-19 patients' clinical characteristics, discharge rate, and fatality rate of meta-analysis.

Long-Quan Li, Tian Huang, Yong-Qing Wang, Zheng-Ping Wang, Yuan Liang, Tao-Bi Huang, Hui-Yun Zhang, Weiming Sun, Yuping Wang

2 registry-linked trialsOpen access · bronzeAbstract readMeta-AnalysisReview
In one paragraph

Synthesis in Journal of medical virology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 736 papers, 15 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
736citing papers in PubMed, 15 pooled it
120.8field-weighted citation impact, top 1% of its field
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.

NCT04441814 unknown statusnot on this map

Frequency and OUtcome of Sub-solid Pulmonary Nodules in Asymptomatic Subjects Tested by Chest CT Screening Versus COVID-19 Patients (FOUND) - Ancillary Study to Smile Protocol NCT03654105

TypeobservationalSponsorFondazione IRCCS Istituto Nazionale dei Tumori, MilanoRan2019 to 2024Enrolled960ConditionsCOVID 19, Inflammatory Status
NCT04594460 naunknown statusnot on this map

A Clinical Trial to Evaluate the Efficacy and Safety of Hydrogen-oxygen Mixed Gas Inhalation in Convalescent Severe/Critically Ill Patients With Novel Coronavirus Pneumonia (COVID-19)

TypeinterventionalSponsorGuangzhou Institute of Respiratory DiseaseRan2020 to 2021Enrolled198ConditionsCovid19, Hydrogen-oxygen Gas, AMS-H-03ArmsHydrogen-Oxygen Generator with Nebulizer, AMS-H-03, OLO-1 Medical Molecular Sieve Oxygen Generator
3 · Its place in the literature

Who cites it

736 citing papers in PubMed, 15 syntheses or guidelines pooled it, 1,550 citations in OpenAlex.

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  9. Opioid usage and COVID-19 prognosis: A systematic review and meta-analysis.The American journal of emergency medicine · 2022
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  20. Bioactive Compounds ofInternational journal of molecular sciences · 2026
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676 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 1 country.

Long-Quan LiThe First Clinical Medical School, Lanzhou University, Lanzhou, China.
Tian HuangThe First Clinical Medical School, Lanzhou University, Lanzhou, China.ORCID 0000-0002-6373-2263
Yong-Qing WangDay Diagnostic Center, Gansu Provincial Hospital, Lanzhou, China.
Zheng-Ping WangClinical College of Chinese Medicine, Gansu University of Chinese Medicine, Lanzhou, China.
Yuan LiangThe First Clinical Medical School, Lanzhou University, Lanzhou, China.
Tao-Bi HuangThe First Clinical Medical School, Lanzhou University, Lanzhou, China.
Hui-Yun ZhangThe First Clinical Medical School, Lanzhou University, Lanzhou, China.
Weiming SunDepartment of Endocrinology, The First Hospital of Lanzhou University, Lanzhou, China.
Yuping WangDepartment of Gastroenterology, The First Hospital of Lanzhou University, Lanzhou, China.
First Hospital of Lanzhou University · CNGansu Provincial Hospital · CNGansu University of Traditional Chinese Medicine · CN

Funding

Natural Science Foundation of Gansu Province 18JR3RA366
6 · The paper itself

Abstract

The aim of this study was to analyze the clinical data, discharge rate, and fatality rate of COVID-19 patients for clinical help. The clinical data of COVID-19 patients from December 2019 to February 2020 were retrieved from four databases. We statistically analyzed the clinical symptoms and laboratory results of COVID-19 patients and explained the discharge rate and fatality rate with a single-arm meta-analysis. The available data of 1994 patients in 10 literatures were included in our study. The main clinical symptoms of COVID-19 patients were fever (88.5%), cough (68.6%), myalgia or fatigue (35.8%), expectoration (28.2%), and dyspnea (21.9%). Minor symptoms include headache or dizziness (12.1%), diarrhea (4.8%), nausea and vomiting (3.9%). The results of the laboratory showed that the lymphocytopenia (64.5%), increase of C-reactive protein (44.3%), increase of lactic dehydrogenase (28.3%), and leukocytopenia (29.4%) were more common. The results of single-arm meta-analysis showed that the male took a larger percentage in the gender distribution of COVID-19 patients 60% (95% CI [0.54, 0.65]), the discharge rate of COVID-19 patients was 52% (95% CI [0.34,0.70]), and the fatality rate was 5% (95% CI [0.01,0.11]).

Indexed as

PandemicsBetacoronavirusBiomarkersChinaCoronavirus InfectionsCoughCOVID-19C-Reactive ProteinDyspneaFemaleFeverHumansIncidenceLymphopeniaMalePatient DischargeBiomarkersC-Reactive Protein2019-nCoVclinical characteristicsCOVID-19discharge ratefatality ratemeta-analysis

Identifiers

PMID32162702
PMCPMC7228329
OpenAlexW3011201358

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.