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Diagnostic accuracy of cervical elastography in predicting preterm delivery: A systematic review and meta-analysis

BACKGROUND: The aim of the study was to evaluate the diagnostic accuracy of cervical elastography in predicting preterm delivery (PTD). METHODS: We searched the PubMed, EMBASE, and Cochrane databases to identify relevant studies that applied ultrasound (US) elastography to assess cervical stiffness...

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Autores principales: Wang, Bo, Zhang, Yong, Chen, Shuangshuang, Xiang, Xiaowei, Wen, Juan, Yi, Mei, He, Baiyun, Hu, Bing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6708731/
https://www.ncbi.nlm.nih.gov/pubmed/31335700
http://dx.doi.org/10.1097/MD.0000000000016449
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author Wang, Bo
Zhang, Yong
Chen, Shuangshuang
Xiang, Xiaowei
Wen, Juan
Yi, Mei
He, Baiyun
Hu, Bing
author_facet Wang, Bo
Zhang, Yong
Chen, Shuangshuang
Xiang, Xiaowei
Wen, Juan
Yi, Mei
He, Baiyun
Hu, Bing
author_sort Wang, Bo
collection PubMed
description BACKGROUND: The aim of the study was to evaluate the diagnostic accuracy of cervical elastography in predicting preterm delivery (PTD). METHODS: We searched the PubMed, EMBASE, and Cochrane databases to identify relevant studies that applied ultrasound (US) elastography to assess cervical stiffness and predict PTD. All the studies were published before December 11, 2018, and only studies published in English were collected. The cervical length (CL) was considered a comparator, and the Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2) tool was applied to assess the quality of the included studies. Summary receiver operating characteristic (SROC) modeling was performed to evaluate the diagnostic performance of cervical elastography in predicting PTD. Subgroup analyses were also performed. RESULTS: Seven studies, including 1488 pregnant women, were included in this meta-analysis. Cervical elastography showed a summary sensitivity of 0.84 [95% confidence interval (CI): 0.68, 0.93], a specificity of 0.82 (95% CI: 0.63, 0.93), a diagnostic odds ratio of 25 (95% CI: 7, 93), and an area under the curve (AUC) of SROC of 0.90 (95% CI: 0.87–0.93). CL measurement showed that the AUC of SROC was 0.60 (95% CI: 0.56–0.64). The results of subgroup analysis showed that the summary sensitivity and specificity were different in the QUADAS-2 score subgroups. CONCLUSION: Cervical elastography is a promising and reliable method to predict PTD. Cervical elastography showed better diagnostic performance to predict PTD than CL measurement.
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spelling pubmed-67087312019-10-01 Diagnostic accuracy of cervical elastography in predicting preterm delivery: A systematic review and meta-analysis Wang, Bo Zhang, Yong Chen, Shuangshuang Xiang, Xiaowei Wen, Juan Yi, Mei He, Baiyun Hu, Bing Medicine (Baltimore) Research Article BACKGROUND: The aim of the study was to evaluate the diagnostic accuracy of cervical elastography in predicting preterm delivery (PTD). METHODS: We searched the PubMed, EMBASE, and Cochrane databases to identify relevant studies that applied ultrasound (US) elastography to assess cervical stiffness and predict PTD. All the studies were published before December 11, 2018, and only studies published in English were collected. The cervical length (CL) was considered a comparator, and the Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2) tool was applied to assess the quality of the included studies. Summary receiver operating characteristic (SROC) modeling was performed to evaluate the diagnostic performance of cervical elastography in predicting PTD. Subgroup analyses were also performed. RESULTS: Seven studies, including 1488 pregnant women, were included in this meta-analysis. Cervical elastography showed a summary sensitivity of 0.84 [95% confidence interval (CI): 0.68, 0.93], a specificity of 0.82 (95% CI: 0.63, 0.93), a diagnostic odds ratio of 25 (95% CI: 7, 93), and an area under the curve (AUC) of SROC of 0.90 (95% CI: 0.87–0.93). CL measurement showed that the AUC of SROC was 0.60 (95% CI: 0.56–0.64). The results of subgroup analysis showed that the summary sensitivity and specificity were different in the QUADAS-2 score subgroups. CONCLUSION: Cervical elastography is a promising and reliable method to predict PTD. Cervical elastography showed better diagnostic performance to predict PTD than CL measurement. Wolters Kluwer Health 2019-07-19 /pmc/articles/PMC6708731/ /pubmed/31335700 http://dx.doi.org/10.1097/MD.0000000000016449 Text en Copyright © 2019 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by-nc-nd/4.0 This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc-nd/4.0
spellingShingle Research Article
Wang, Bo
Zhang, Yong
Chen, Shuangshuang
Xiang, Xiaowei
Wen, Juan
Yi, Mei
He, Baiyun
Hu, Bing
Diagnostic accuracy of cervical elastography in predicting preterm delivery: A systematic review and meta-analysis
title Diagnostic accuracy of cervical elastography in predicting preterm delivery: A systematic review and meta-analysis
title_full Diagnostic accuracy of cervical elastography in predicting preterm delivery: A systematic review and meta-analysis
title_fullStr Diagnostic accuracy of cervical elastography in predicting preterm delivery: A systematic review and meta-analysis
title_full_unstemmed Diagnostic accuracy of cervical elastography in predicting preterm delivery: A systematic review and meta-analysis
title_short Diagnostic accuracy of cervical elastography in predicting preterm delivery: A systematic review and meta-analysis
title_sort diagnostic accuracy of cervical elastography in predicting preterm delivery: a systematic review and meta-analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6708731/
https://www.ncbi.nlm.nih.gov/pubmed/31335700
http://dx.doi.org/10.1097/MD.0000000000016449
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