The diagnostic value of narrow-band imaging for early and invasive lung cancer: a meta-analysis

Detalhes bibliográficos
Autor(a) principal: Zhu, Juanjuan
Data de Publicação: 2017
Outros Autores: Li, Wei, Zhou, Jihong, Chen, Yuqing, Zhao, Chenling, Zhang, Ting, Peng, Wenjia, Wang, Xiaojing
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Clinics
Texto Completo: https://www.revistas.usp.br/clinics/article/view/135270
Resumo: This study aimed to compare the ability of narrow-band imaging to detect early and invasive lung cancer with that of conventional pathological analysis and white-light bronchoscopy. We searched the PubMed, EMBASE, Sinomed, and China National Knowledge Infrastructure databases for relevant studies. Meta-disc software was used to perform data analysis, meta-regression analysis, sensitivity analysis, and heterogeneity testing, and STATA software was used to determine if publication bias was present, as well as to calculate the relative risks for the sensitivity and specificity of narrow-band imaging vs those of white-light bronchoscopy for the detection of early and invasive lung cancer. A random-effects model was used to assess the diagnostic efficacy of the above modalities in cases in which a high degree of between-study heterogeneity was noted with respect to their diagnostic efficacies. The database search identified six studies including 578 patients. The pooled sensitivity and specificity of narrow-band imaging were 86% (95% confidence interval: 83-88%) and 81% (95% confidence interval: 77-84%), respectively, and the pooled sensitivity and specificity of white-light bronchoscopy were 70% (95% confidence interval: 66-74%) and 66% (95% confidence interval: 62-70%), respectively. The pooled relative risks for the sensitivity and specificity of narrow-band imaging vs the sensitivity and specificity of white-light bronchoscopy for the detection of early and invasive lung cancer were 1.33 (95% confidence interval: 1.07-1.67) and 1.09 (95% confidence interval: 0.84-1.42), respectively, and sensitivity analysis showed that narrow-band imaging exhibited good diagnostic efficacy with respect to detecting early and invasive lung cancer and that the results of the study were stable. Narrow-band imaging was superior to white light bronchoscopy with respect to detecting early and invasive lung cancer; however, the specificities of the two modalities did not differ significantly.
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spelling The diagnostic value of narrow-band imaging for early and invasive lung cancer: a meta-analysisInvasive Lung CancerEarly Lung CancerNarrow-Band ImagingMeta-AnalysisThis study aimed to compare the ability of narrow-band imaging to detect early and invasive lung cancer with that of conventional pathological analysis and white-light bronchoscopy. We searched the PubMed, EMBASE, Sinomed, and China National Knowledge Infrastructure databases for relevant studies. Meta-disc software was used to perform data analysis, meta-regression analysis, sensitivity analysis, and heterogeneity testing, and STATA software was used to determine if publication bias was present, as well as to calculate the relative risks for the sensitivity and specificity of narrow-band imaging vs those of white-light bronchoscopy for the detection of early and invasive lung cancer. A random-effects model was used to assess the diagnostic efficacy of the above modalities in cases in which a high degree of between-study heterogeneity was noted with respect to their diagnostic efficacies. The database search identified six studies including 578 patients. The pooled sensitivity and specificity of narrow-band imaging were 86% (95% confidence interval: 83-88%) and 81% (95% confidence interval: 77-84%), respectively, and the pooled sensitivity and specificity of white-light bronchoscopy were 70% (95% confidence interval: 66-74%) and 66% (95% confidence interval: 62-70%), respectively. The pooled relative risks for the sensitivity and specificity of narrow-band imaging vs the sensitivity and specificity of white-light bronchoscopy for the detection of early and invasive lung cancer were 1.33 (95% confidence interval: 1.07-1.67) and 1.09 (95% confidence interval: 0.84-1.42), respectively, and sensitivity analysis showed that narrow-band imaging exhibited good diagnostic efficacy with respect to detecting early and invasive lung cancer and that the results of the study were stable. Narrow-band imaging was superior to white light bronchoscopy with respect to detecting early and invasive lung cancer; however, the specificities of the two modalities did not differ significantly.Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo2017-07-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://www.revistas.usp.br/clinics/article/view/13527010.6061/clinics/2017(07)09Clinics; Vol. 72 No. 7 (2017); 438-448Clinics; v. 72 n. 7 (2017); 438-448Clinics; Vol. 72 Núm. 7 (2017); 438-4481980-53221807-5932reponame:Clinicsinstname:Universidade de São Paulo (USP)instacron:USPenghttps://www.revistas.usp.br/clinics/article/view/135270/131090Copyright (c) 2017 Clinicsinfo:eu-repo/semantics/openAccessZhu, JuanjuanLi, WeiZhou, JihongChen, YuqingZhao, ChenlingZhang, TingPeng, WenjiaWang, Xiaojing2017-08-08T12:48:50Zoai:revistas.usp.br:article/135270Revistahttps://www.revistas.usp.br/clinicsPUBhttps://www.revistas.usp.br/clinics/oai||clinics@hc.fm.usp.br1980-53221807-5932opendoar:2017-08-08T12:48:50Clinics - Universidade de São Paulo (USP)false
dc.title.none.fl_str_mv The diagnostic value of narrow-band imaging for early and invasive lung cancer: a meta-analysis
title The diagnostic value of narrow-band imaging for early and invasive lung cancer: a meta-analysis
spellingShingle The diagnostic value of narrow-band imaging for early and invasive lung cancer: a meta-analysis
Zhu, Juanjuan
Invasive Lung Cancer
Early Lung Cancer
Narrow-Band Imaging
Meta-Analysis
title_short The diagnostic value of narrow-band imaging for early and invasive lung cancer: a meta-analysis
title_full The diagnostic value of narrow-band imaging for early and invasive lung cancer: a meta-analysis
title_fullStr The diagnostic value of narrow-band imaging for early and invasive lung cancer: a meta-analysis
title_full_unstemmed The diagnostic value of narrow-band imaging for early and invasive lung cancer: a meta-analysis
title_sort The diagnostic value of narrow-band imaging for early and invasive lung cancer: a meta-analysis
author Zhu, Juanjuan
author_facet Zhu, Juanjuan
Li, Wei
Zhou, Jihong
Chen, Yuqing
Zhao, Chenling
Zhang, Ting
Peng, Wenjia
Wang, Xiaojing
author_role author
author2 Li, Wei
Zhou, Jihong
Chen, Yuqing
Zhao, Chenling
Zhang, Ting
Peng, Wenjia
Wang, Xiaojing
author2_role author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Zhu, Juanjuan
Li, Wei
Zhou, Jihong
Chen, Yuqing
Zhao, Chenling
Zhang, Ting
Peng, Wenjia
Wang, Xiaojing
dc.subject.por.fl_str_mv Invasive Lung Cancer
Early Lung Cancer
Narrow-Band Imaging
Meta-Analysis
topic Invasive Lung Cancer
Early Lung Cancer
Narrow-Band Imaging
Meta-Analysis
description This study aimed to compare the ability of narrow-band imaging to detect early and invasive lung cancer with that of conventional pathological analysis and white-light bronchoscopy. We searched the PubMed, EMBASE, Sinomed, and China National Knowledge Infrastructure databases for relevant studies. Meta-disc software was used to perform data analysis, meta-regression analysis, sensitivity analysis, and heterogeneity testing, and STATA software was used to determine if publication bias was present, as well as to calculate the relative risks for the sensitivity and specificity of narrow-band imaging vs those of white-light bronchoscopy for the detection of early and invasive lung cancer. A random-effects model was used to assess the diagnostic efficacy of the above modalities in cases in which a high degree of between-study heterogeneity was noted with respect to their diagnostic efficacies. The database search identified six studies including 578 patients. The pooled sensitivity and specificity of narrow-band imaging were 86% (95% confidence interval: 83-88%) and 81% (95% confidence interval: 77-84%), respectively, and the pooled sensitivity and specificity of white-light bronchoscopy were 70% (95% confidence interval: 66-74%) and 66% (95% confidence interval: 62-70%), respectively. The pooled relative risks for the sensitivity and specificity of narrow-band imaging vs the sensitivity and specificity of white-light bronchoscopy for the detection of early and invasive lung cancer were 1.33 (95% confidence interval: 1.07-1.67) and 1.09 (95% confidence interval: 0.84-1.42), respectively, and sensitivity analysis showed that narrow-band imaging exhibited good diagnostic efficacy with respect to detecting early and invasive lung cancer and that the results of the study were stable. Narrow-band imaging was superior to white light bronchoscopy with respect to detecting early and invasive lung cancer; however, the specificities of the two modalities did not differ significantly.
publishDate 2017
dc.date.none.fl_str_mv 2017-07-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://www.revistas.usp.br/clinics/article/view/135270
10.6061/clinics/2017(07)09
url https://www.revistas.usp.br/clinics/article/view/135270
identifier_str_mv 10.6061/clinics/2017(07)09
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://www.revistas.usp.br/clinics/article/view/135270/131090
dc.rights.driver.fl_str_mv Copyright (c) 2017 Clinics
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2017 Clinics
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo
publisher.none.fl_str_mv Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo
dc.source.none.fl_str_mv Clinics; Vol. 72 No. 7 (2017); 438-448
Clinics; v. 72 n. 7 (2017); 438-448
Clinics; Vol. 72 Núm. 7 (2017); 438-448
1980-5322
1807-5932
reponame:Clinics
instname:Universidade de São Paulo (USP)
instacron:USP
instname_str Universidade de São Paulo (USP)
instacron_str USP
institution USP
reponame_str Clinics
collection Clinics
repository.name.fl_str_mv Clinics - Universidade de São Paulo (USP)
repository.mail.fl_str_mv ||clinics@hc.fm.usp.br
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