A meta-analysis to evaluate the effectiveness of real-time PCR for diagnosing novel coronavirus infections.
Identifieur interne : 000D33 ( PubMed/Corpus ); précédent : 000D32; suivant : 000D34A meta-analysis to evaluate the effectiveness of real-time PCR for diagnosing novel coronavirus infections.
Auteurs : C. Lin ; R. Ye ; Y L XiaSource :
- Genetics and molecular research : GMR [ 1676-5680 ] ; 2015.
English descriptors
- KwdEn :
- MESH :
- classification : Coronavirus.
- diagnosis : Coronavirus Infections.
- genetics : Coronavirus.
- methods : Real-Time Polymerase Chain Reaction.
- virology : Coronavirus Infections.
- Case-Control Studies, Humans, Odds Ratio, Publication Bias, Sensitivity and Specificity.
Abstract
Novel coronavirus (nCoV) belongs to the Coronaviridae family, which includes the virus that causes SARS, or severe acute respiratory syndrome. However, infection source, transmission route, and host of nCoV have not yet been thoroughly characterized. In some cases, nCoV presented a limited person-to-person transmission. Therefore, early diagnosis of nCoV may be of importance for reducing the spread of disease in public. Methods for nCoV diagnosis involve smear dyeing inspection, culture identification, and real-time PCR detection, all of which are proved highly effective. Here, we performed a meta-analysis to evaluate the effectiveness of real-time PCR for diagnosing nCoV infection. Fifteen articles conformed to the inclusion and exclusion criteria for further meta-analysis on the basis of a wide range of publications searched from databases involving PubMed, EMBASE, Web of Science, Medline, ISI. We analyzed the stability and publication bias as well as examined the heterogeneity inspection of real-time PCR detection in contrast to smear staining and culture identification. The fixed-effect model was adopted in our meta-analysis. Our result demonstrated that the combination of real-time PCR and smear diagnostics yielded an odds ratio (OR) = 1.91, 95% confidence interval (CI) = 1.51-2.41, Z = 5.43, P < 0.05, while the combination of real-time PCR and culture identification yielded OR = 2.44, 95%CI = 1.77-3.37, Z = 5.41, P < 0.05. Therefore, we propose real-time PCR as an efficient method that offers an auxiliary support for future nCoV diagnosis.
DOI: 10.4238/2015.December.1.15
PubMed: 26634531
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pubmed:26634531Le document en format XML
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Ye</name><affiliation><nlm:affiliation>School of Basic Medical Sciences, Fudan University, Shanghai, China.</nlm:affiliation></affiliation></author><author><name sortKey="Xia, Y L" sort="Xia, Y L" uniqKey="Xia Y" first="Y L" last="Xia">Y L Xia</name><affiliation><nlm:affiliation>Department of Pediatrics, First Hospital of Jiaxing, Jiaxing, China.</nlm:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2015">2015</date><idno type="RBID">pubmed:26634531</idno><idno type="pmid">26634531</idno><idno type="doi">10.4238/2015.December.1.15</idno><idno type="wicri:Area/PubMed/Corpus">000D33</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">000D33</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">A meta-analysis to evaluate the effectiveness of real-time PCR for diagnosing novel coronavirus infections.</title><author><name sortKey="Lin, C" sort="Lin, C" uniqKey="Lin C" first="C" last="Lin">C. Lin</name><affiliation><nlm:affiliation>School of Basic Medical Sciences, Fudan University, Shanghai, China.</nlm:affiliation></affiliation></author><author><name sortKey="Ye, R" sort="Ye, R" uniqKey="Ye R" first="R" last="Ye">R. Ye</name><affiliation><nlm:affiliation>School of Basic Medical Sciences, Fudan University, Shanghai, China.</nlm:affiliation></affiliation></author><author><name sortKey="Xia, Y L" sort="Xia, Y L" uniqKey="Xia Y" first="Y L" last="Xia">Y L Xia</name><affiliation><nlm:affiliation>Department of Pediatrics, First Hospital of Jiaxing, Jiaxing, China.</nlm:affiliation></affiliation></author></analytic><series><title level="j">Genetics and molecular research : GMR</title><idno type="eISSN">1676-5680</idno><imprint><date when="2015" type="published">2015</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Case-Control Studies</term><term>Coronavirus (classification)</term><term>Coronavirus (genetics)</term><term>Coronavirus Infections (diagnosis)</term><term>Coronavirus Infections (virology)</term><term>Humans</term><term>Odds Ratio</term><term>Publication Bias</term><term>Real-Time Polymerase Chain Reaction (methods)</term><term>Sensitivity and Specificity</term></keywords><keywords scheme="MESH" qualifier="classification" xml:lang="en"><term>Coronavirus</term></keywords><keywords scheme="MESH" qualifier="diagnosis" xml:lang="en"><term>Coronavirus Infections</term></keywords><keywords scheme="MESH" qualifier="genetics" xml:lang="en"><term>Coronavirus</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Real-Time Polymerase Chain Reaction</term></keywords><keywords scheme="MESH" qualifier="virology" xml:lang="en"><term>Coronavirus Infections</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Case-Control Studies</term><term>Humans</term><term>Odds Ratio</term><term>Publication Bias</term><term>Sensitivity and Specificity</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Novel coronavirus (nCoV) belongs to the Coronaviridae family, which includes the virus that causes SARS, or severe acute respiratory syndrome. However, infection source, transmission route, and host of nCoV have not yet been thoroughly characterized. In some cases, nCoV presented a limited person-to-person transmission. Therefore, early diagnosis of nCoV may be of importance for reducing the spread of disease in public. Methods for nCoV diagnosis involve smear dyeing inspection, culture identification, and real-time PCR detection, all of which are proved highly effective. Here, we performed a meta-analysis to evaluate the effectiveness of real-time PCR for diagnosing nCoV infection. Fifteen articles conformed to the inclusion and exclusion criteria for further meta-analysis on the basis of a wide range of publications searched from databases involving PubMed, EMBASE, Web of Science, Medline, ISI. We analyzed the stability and publication bias as well as examined the heterogeneity inspection of real-time PCR detection in contrast to smear staining and culture identification. The fixed-effect model was adopted in our meta-analysis. Our result demonstrated that the combination of real-time PCR and smear diagnostics yielded an odds ratio (OR) = 1.91, 95% confidence interval (CI) = 1.51-2.41, Z = 5.43, P < 0.05, while the combination of real-time PCR and culture identification yielded OR = 2.44, 95%CI = 1.77-3.37, Z = 5.41, P < 0.05. Therefore, we propose real-time PCR as an efficient method that offers an auxiliary support for future nCoV diagnosis.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">26634531</PMID><DateCompleted><Year>2016</Year><Month>09</Month><Day>15</Day></DateCompleted><DateRevised><Year>2015</Year><Month>12</Month><Day>04</Day></DateRevised><Article PubModel="Electronic"><Journal><ISSN IssnType="Electronic">1676-5680</ISSN><JournalIssue CitedMedium="Internet"><Volume>14</Volume><Issue>4</Issue><PubDate><Year>2015</Year><Month>Dec</Month><Day>02</Day></PubDate></JournalIssue><Title>Genetics and molecular research : GMR</Title><ISOAbbreviation>Genet. Mol. Res.</ISOAbbreviation></Journal><ArticleTitle>A meta-analysis to evaluate the effectiveness of real-time PCR for diagnosing novel coronavirus infections.</ArticleTitle><Pagination><MedlinePgn>15634-41</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.4238/2015.December.1.15</ELocationID><Abstract><AbstractText>Novel coronavirus (nCoV) belongs to the Coronaviridae family, which includes the virus that causes SARS, or severe acute respiratory syndrome. However, infection source, transmission route, and host of nCoV have not yet been thoroughly characterized. In some cases, nCoV presented a limited person-to-person transmission. Therefore, early diagnosis of nCoV may be of importance for reducing the spread of disease in public. Methods for nCoV diagnosis involve smear dyeing inspection, culture identification, and real-time PCR detection, all of which are proved highly effective. Here, we performed a meta-analysis to evaluate the effectiveness of real-time PCR for diagnosing nCoV infection. Fifteen articles conformed to the inclusion and exclusion criteria for further meta-analysis on the basis of a wide range of publications searched from databases involving PubMed, EMBASE, Web of Science, Medline, ISI. We analyzed the stability and publication bias as well as examined the heterogeneity inspection of real-time PCR detection in contrast to smear staining and culture identification. The fixed-effect model was adopted in our meta-analysis. Our result demonstrated that the combination of real-time PCR and smear diagnostics yielded an odds ratio (OR) = 1.91, 95% confidence interval (CI) = 1.51-2.41, Z = 5.43, P < 0.05, while the combination of real-time PCR and culture identification yielded OR = 2.44, 95%CI = 1.77-3.37, Z = 5.41, P < 0.05. Therefore, we propose real-time PCR as an efficient method that offers an auxiliary support for future nCoV diagnosis.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Lin</LastName><ForeName>C</ForeName><Initials>C</Initials><AffiliationInfo><Affiliation>School of Basic Medical Sciences, Fudan University, Shanghai, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Ye</LastName><ForeName>R</ForeName><Initials>R</Initials><AffiliationInfo><Affiliation>School of Basic Medical Sciences, Fudan University, Shanghai, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Xia</LastName><ForeName>Y L</ForeName><Initials>YL</Initials><AffiliationInfo><Affiliation>Department of Pediatrics, First Hospital of Jiaxing, Jiaxing, China.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D017418">Meta-Analysis</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2015</Year><Month>12</Month><Day>02</Day></ArticleDate></Article><MedlineJournalInfo><Country>Brazil</Country><MedlineTA>Genet Mol Res</MedlineTA><NlmUniqueID>101169387</NlmUniqueID><ISSNLinking>1676-5680</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D016022" MajorTopicYN="N">Case-Control Studies</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D017934" MajorTopicYN="N">Coronavirus</DescriptorName><QualifierName UI="Q000145" MajorTopicYN="Y">classification</QualifierName><QualifierName UI="Q000235" MajorTopicYN="Y">genetics</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D018352" MajorTopicYN="N">Coronavirus Infections</DescriptorName><QualifierName UI="Q000175" MajorTopicYN="Y">diagnosis</QualifierName><QualifierName UI="Q000821" MajorTopicYN="Y">virology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D016017" MajorTopicYN="N">Odds Ratio</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D017594" MajorTopicYN="N">Publication Bias</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D060888" MajorTopicYN="Y">Real-Time Polymerase Chain Reaction</DescriptorName><QualifierName UI="Q000379" MajorTopicYN="N">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D012680" MajorTopicYN="N">Sensitivity and Specificity</DescriptorName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="entrez"><Year>2015</Year><Month>12</Month><Day>5</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2015</Year><Month>12</Month><Day>5</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2016</Year><Month>9</Month><Day>16</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>epublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">26634531</ArticleId><ArticleId IdType="pii">gmr6271</ArticleId><ArticleId IdType="doi">10.4238/2015.December.1.15</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
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