The diagnostic value of narrow-band imaging for early and invasive lung cancer: a meta-analysis
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , , , , |
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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oai:revistas.usp.br:article/135270 |
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Clinics |
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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 |
_version_ |
1800222763216011264 |