Facets (new session)
Description
Metadata
Settings
owl:sameAs
Inference Rule:
b3s
b3sifp
dbprdf-label
facets
http://dbpedia.org/resource/inference/rules/dbpedia#
http://dbpedia.org/resource/inference/rules/opencyc#
http://dbpedia.org/resource/inference/rules/umbel#
http://dbpedia.org/resource/inference/rules/yago#
http://dbpedia.org/schema/property_rules#
http://www.ontologyportal.org/inference/rules/SUMO#
http://www.ontologyportal.org/inference/rules/WordNet#
http://www.w3.org/2002/07/owl#
ldp
oplweb
skos-trans
virtrdf-label
None
About:
Hydroxychloroquine Versus COVID-19: A Rapid 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)
Type:
Academic Article
research paper
schema:ScholarlyArticle
New Facet based on Instances of this Class
Attributes
Values
type
Academic Article
research paper
schema:ScholarlyArticle
isDefinedBy
Covid-on-the-Web dataset
title
Hydroxychloroquine Versus COVID-19: A Rapid Systematic Review and Meta-Analysis
Creator
Alizadeh-Navaei, Reza
Heydari, Keyvan
Shamshirian, Amir
Shamshirian, Danial
Ghasemian, Roya
Hessami, Amirhossein
Aboufazeli, Elham
Baradaran, Hananeh
Ebrahimzadeh, Mohammad
Eftekhari, Aida
Karimifar, Keyvan
source
MedRxiv
abstract
Background: Coronavirus Disease 2019 (COVID-19) has become a major global issue with rising the number of infected individuals and mortality in recent months. Among all therapeutic approaches, arguments have raised about hydroxychloroquine efficacy in treatment of COVID-19. We aimed to overcome the controversies regarding effectiveness of hydroxychloroquine in treatment of COVID-19, using a systematic review and meta-analysis. Methods: A systematic search was performed in PubMed, Scopus, Embase, Cochrane Library, Web of Science, Google Scholar and medRxiv pre-print database using all available MeSH terms for COVID-19 and hydroxychloroquine. Two authors selected and assessed the quality of studies independently using related checklists. Data have been extracted from included studies and analyzed using CMA v. 2.2.064. heterogeneity was also assessed using I-squared test. Results: Seven studies including four clinical trials and three observational studies have entered into the study. The results of meta-analysis of clinical trials showed that there were no significant differences between patients who received the standard treatment with HCQ regimen and the patients that received the standard treatment without HCQ (RR: 1.44, 95% CI, 0.80-2.59). CT-Scan findings improved in 59% (95% CI 0.15-0.92) and nasopharyngeal culture following RT-PCR resulted negative in 76% (95% CI 0.56-0.89) of patients received hydroxychloroquine. Meta-analysis of observational studies showed 75% (95% CI, 0.54-0.88) of patients were discharged from the hospital, 34% (95% CI, 0.07-0.14) admitted to intensive care unit and 1.5% (95% CI, 0.03-0.83) have expired. Conclusion: This study indicated no clinical benefits regarding HCQ for treatment of COVID-19 patients. However, further large clinical trials should be taken into account in order to achieve more reliable findings.
has issue date
2020-04-20
(
xsd:dateTime
)
bibo:doi
10.1101/2020.04.14.20065276
has license
medrxiv
sha1sum (hex)
d831dbf38025a44e0436fd11c52af4db9eb7c5b0
schema:url
https://doi.org/10.1101/2020.04.14.20065276
resource representing a document's title
Hydroxychloroquine Versus COVID-19: A Rapid Systematic Review and Meta-Analysis
resource representing a document's body
covid:d831dbf38025a44e0436fd11c52af4db9eb7c5b0#body_text
is
schema:about
of
named entity 'raised'
named entity 'arguments'
named entity 'COVID-19'
named entity 'therapeutic approaches'
named entity 'Coronavirus Disease 2019'
named entity 'COVID'
named entity 'COVID'
named entity 'COVID'
named entity 'Hydroxychloroquine'
named entity 'COVID'
named entity 'PubMed'
named entity 'COVID'
named entity 'systematic review'
named entity 'COVID-19'
named entity 'case reports'
named entity 'HCQ'
named entity 'SARS-CoV-2'
named entity 'meta-analysis'
named entity 'preprint'
named entity 'MeSH'
named entity 'preprint'
named entity 'WHO'
named entity 'Detroit'
named entity 'adverse effects'
named entity 'control group'
named entity 'preprint'
named entity 'HCQ'
named entity '95% CI'
named entity 'meta-analysis'
named entity 'peer-reviewed'
named entity 'Clinical Trials'
named entity 'preprint'
named entity 'HCQ'
named entity 'Coronavirus Disease 2019'
named entity 'clinical trials'
named entity 'HCQ'
named entity 'contaminated environments'
named entity 'RT-PCR'
named entity '95% CI'
named entity 'Scopus'
named entity 'COVID'
named entity 'gray literature'
named entity '95% CI'
named entity 'HCQ'
named entity 'Randomised Controlled Trial'
named entity 'chloroquine'
named entity '0.80'
named entity 'quarantine'
named entity 'Hydroxychloroquine'
named entity 'infection'
named entity 'clinical trials registry'
named entity 'significant difference'
named entity 'medRxiv'
named entity 'publication bias'
named entity '95% CI'
named entity 'anti-inflammatory agent'
named entity 'azithromycin'
named entity 'HCQ'
named entity 'HCQ'
named entity 'Cochrane Library'
named entity 'Chikungunya Virus'
named entity 'randomized clinical trials'
named entity 'HCQ'
named entity 'HCQ'
named entity 'preprint'
named entity 'coronavirus'
named entity 'effect size'
named entity 'Michigan'
named entity 'CID'
named entity 'COVID'
named entity 'peer-reviewed'
named entity 'Data extraction'
named entity 'Statistical analysis'
named entity 'COVID-19'
named entity 'letter to the editor'
◂◂ First
◂ Prev
Next ▸
Last ▸▸
Page 1 of 4
Go
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