About: Incidence, clinical characteristics and prognostic factor of patients with COVID-19: a systematic review and meta-analysis

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: Incidence, clinical characteristics and prognostic factor of patients with COVID-19: a systematic review and meta-analysis Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Incidence, clinical characteristics and prognostic factor of patients with COVID-19: a systematic review and meta-analysis
Creator	Wu, Hong Li, Pan Gu, Jiawei Guo, Zhifu Liang Zhang, † Ma, Chaoqun Pan Hou, † Yuan Bai, ; Zhang, Bili Zhao, Xianxian
source	MedRxiv
abstract	Background: Recently, Coronavirus Disease 2019 (COVID-19) outbreak started in Wuhan, China. Although the clinical features of COVID-19 have been reported previously, data regarding the risk factors associated with the clinical outcomes are lacking. Objectives: To summary and analyze the clinical characteristics and identify the predictors of disease severity and mortality. Methods: The PubMed, Web of Science Core Collection, Embase, Cochrane and MedRxiv databases were searched through February 25, 2020. Meta-analysis of Observational Studies in Epidemiology (MOOSE) recommendations were followed. We extracted and pooled data using random-effects meta-analysis to summary the clinical feature of the confirmed COVID-19 patients, and further identify risk factors for disease severity and death. Heterogeneity was evaluated using the I2 method and explained with subgroup analysis and meta-regression. Results: A total of 30 studies including 53000 patients with COVID-19 were included in this study, the mean age was 49.8 years (95% CI, 47.5-52.2 yrs) and 55.5% were male. The pooled incidence of severity and mortality were 20.2% (95% CI, 15.1-25.2%) and 3.1% (95% CI, 1.9-4.2%), respectively. The predictor for disease severity included old age (≥ 50 yrs, odds ratio [OR] = 2.61; 95% CI, 2.29-2.98), male (OR =1.348, 95% CI, 1.195-1.521), smoking (OR =1.734, 95% CI, 1.146-2.626) and any comorbidity (OR = 2.635, 95% CI, 2.098-3.309), especially chronic kidney disease (CKD, OR = 6.017; 95% CI, 2.192-16.514), chronic obstructive pulmonary disease (COPD, OR = 5.323; 95% CI, 2.613-10.847) and cerebrovascular disease (OR = 3.219; 95% CI, 1.486-6.972). In terms of laboratory results, increased lactate dehydrogenase (LDH), C-reactive protein (CRP) and D-dimer and decreased blood platelet and lymphocytes count were highly associated with severe COVID-19 (all for P < 0.001). Meanwhile, old age (≥ 60 yrs, RR = 9.45; 95% CI, 8.09-11.04), followed by cardiovascular disease (RR = 6.75; 95% CI, 5.40-8.43) hypertension (RR = 4.48; 95% CI, 3.69-5.45) and diabetes (RR = 4.43; 95% CI, 3.49-5.61) were found to be independent prognostic factors for the COVID-19 related death. Conclusions: To our knowledge, this is the first evidence-based medicine research to explore the risk factors of prognosis in patients with COVID-19, which is helpful to identify early-stage patients with poor prognosis and adapt effective treatment.
has issue date	2020-03-20(xsd:dateTime)
bibo:doi	10.1101/2020.03.17.20037572
has license	medrxiv
sha1sum (hex)	96227f572ef897844b59b1c8bb6c853b6162c547
schema:url	https://doi.org/10.1101/2020.03.17.20037572
resource representing a document's title	Incidence, clinical characteristics and prognostic factor of patients with COVID-19: a systematic review and meta-analysis
resource representing a document's body	covid:96227f572ef897844b59b1c8bb6c853b6162c547#body_text
is schema:about of	named entity 'BACKGROUND' named entity 'CLINICAL FEATURES' named entity 'CHINA' covid:arg/96227f572ef897844b59b1c8bb6c853b6162c547 named entity 'Disease' named entity 'COVID' named entity 'China' named entity 'clinical features' named entity 'prognostic factor' named entity 'meta-analysis' named entity 'COVID-19' named entity 'Wuhan' named entity 'medRxiv' named entity 'hypertension' named entity 'COVID-19' named entity 'lymphopenia' named entity 'D-dimer' named entity 'COVID-19' named entity 'risk factors' named entity '3.5' named entity 'disease incidence' named entity 'Wuhan' named entity 'Wuhan' named entity 'comorbidities' named entity 'risk factors' named entity 'non-specific' named entity 'Australia' named entity 'peer review' named entity 'peer review' named entity 'high-risk' named entity '0.01' named entity 'prospective studies' named entity 'COVID-19' named entity 'COVID-19' named entity 'random effects' named entity 'meta-analysis' named entity 'COVID-19' named entity '95%' named entity 'incidence rate' named entity 'Wuhan' named entity 'diabetes' named entity '95% CI' named entity 'Wuhan' named entity 'meta-regression' named entity 'significant difference' named entity '95% CI' named entity 'CFR' named entity 'comorbidity' named entity 'COVID-19' named entity '95% CI' named entity 'Australia' named entity 'peer review' named entity 'CFR' named entity 'nausea' named entity 'risk factor' named entity 'medRxiv' named entity 'COVID-19' named entity 'COVID-19' named entity 'COVID-19' named entity 'tachypnea' named entity '3.03' named entity 'Wuhan' named entity '95% CI' named entity '95% CI' named entity 'immune function' named entity 'correlation' named entity 'chronic conditions' named entity 'hypertension' named entity 'medRxiv' named entity 'subgroup analysis' named entity 'SARS-CoV-2' named entity '95% CI' named entity 'comorbidity' named entity 'thrombocytopenia' named entity 'meta-regression' named entity 'clinical outcome'

Faceted Search & Find service v1.13.91 as of Mar 24 2020

Alternative Linked Data Documents: Sponger | ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3229 as of Jul 10 2020, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (94 GB total memory)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2025 OpenLink Software