EndoCuff‐assisted colonoscopy could improve adenoma detection rate: A meta‐analysis of randomized controlled trials

Objective This meta‐analysis aimed to evaluate whether EndoCuff‐assisted colonoscopy (EAC) could improve adenoma detection rate (ADR) compared with standard colonoscopy (SC). Methods PubMed, EMBASE, Scopus, Cochrane Library, and Google Scholar databases were searched for articles published up to Mar...

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Bibliographic Details
Published inJournal of digestive diseases Vol. 20; no. 11; pp. 578 - 588
Main Authors Jian, Hai Xu, Feng, Bing Cheng, Zhang, Yan, Qu, Jun Yan, Li, Yue Yue, Zuo, Xiu Li
Format Journal Article
LanguageEnglish
Published Melbourne Wiley Publishing Asia Pty Ltd 01.11.2019
Wiley Subscription Services, Inc
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Summary:Objective This meta‐analysis aimed to evaluate whether EndoCuff‐assisted colonoscopy (EAC) could improve adenoma detection rate (ADR) compared with standard colonoscopy (SC). Methods PubMed, EMBASE, Scopus, Cochrane Library, and Google Scholar databases were searched for articles published up to March 2019. All pure randomized controlled trials comparing ADR between EAC and SC groups were included. Dichotomous data were pooled to obtain the odds ratio with a 95% confidence interval (CI), whereas continuous data were pooled using a mean difference with 95% CI. Review Manager Version 5.3 was used for data analysis. Results Thirteen randomized controlled trials consisting of 9038 patients (EAC: 4574; SC: 4464) were included. The EAC group showed significant superiority over the SC group in ADR (odds ratio 1.37, 95% CI 1.15–1.62). However, there were no differences between the EAC and SC groups in adverse events, cecal intubation rate, and cecal intubation time. Conclusions EAC could significantly improve ADR without increasing adverse events, especially for operators with low ADRs. In addition, no significant difference was observed in cecal intubation time and cecal intubation rate between EAC and SC.
Bibliography:Funding information
Key Research and Development Program of Shandong Province, Grant/Award Number: 2017CXGC1215; National Natural Science Foundation of China, Grant/Award Numbers: 81570485, 81770538
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ISSN:1751-2972
1751-2980
1751-2980
DOI:10.1111/1751-2980.12814