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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Published in | Journal of digestive diseases Vol. 20; no. 11; pp. 578 - 588 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
Melbourne
Wiley Publishing Asia Pty Ltd
01.11.2019
Wiley Subscription Services, Inc |
Subjects | |
Online Access | Get full text |
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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. |
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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 ObjectType-Article-2 SourceType-Scholarly Journals-1 content type line 14 ObjectType-Feature-3 ObjectType-Evidence Based Healthcare-1 ObjectType-Article-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 1751-2972 1751-2980 1751-2980 |
DOI: | 10.1111/1751-2980.12814 |