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Interventions to improve the quality of screening-related colonoscopy: protocol for a systematic review and network meta-analysis of randomised controlled trials

INTRODUCTION: Colonoscopy quality can vary depending on endoscopist-related factors. Quality indicators, such as adenoma detection rate (ADR), have been adopted to reduce variations in care. Several interventions aim to improve ADR, but these fall into several domains that have traditionally been di...

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Autores principales: Khan, Rishad, Vaska, Marcus, Ruan, Yibing, Bansal, Rishi, Gimpaya, Nikko, Scaffidi, Michael A, Brenner, Darren, Leontiadis, G I, Grover, Samir C, Forbes, Nauzer
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9693885/
https://www.ncbi.nlm.nih.gov/pubmed/36424103
http://dx.doi.org/10.1136/bmjopen-2022-061855
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author Khan, Rishad
Vaska, Marcus
Ruan, Yibing
Bansal, Rishi
Gimpaya, Nikko
Scaffidi, Michael A
Brenner, Darren
Leontiadis, G I
Grover, Samir C
Forbes, Nauzer
author_facet Khan, Rishad
Vaska, Marcus
Ruan, Yibing
Bansal, Rishi
Gimpaya, Nikko
Scaffidi, Michael A
Brenner, Darren
Leontiadis, G I
Grover, Samir C
Forbes, Nauzer
author_sort Khan, Rishad
collection PubMed
description INTRODUCTION: Colonoscopy quality can vary depending on endoscopist-related factors. Quality indicators, such as adenoma detection rate (ADR), have been adopted to reduce variations in care. Several interventions aim to improve ADR, but these fall into several domains that have traditionally been difficult to compare. We will conduct a systematic review and network meta-analysis of randomised controlled trials evaluating the efficacies of interventions to improve colonoscopy quality and report our findings according to clinically relevant interventional domains. METHODS AND ANALYSIS: We will search MEDLINE (Ovid), PubMed, EMBASE, CINAHL, Web of Science, Scopus and Evidence-Based Medicine from inception to September 2022. Four reviewers will screen for eligibility and abstract data in parallel, with two accordant entries establishing agreement and with any discrepancies resolved by consensus. The primary outcome will be ADR. Two authors will independently conduct risk of bias assessments. The analyses of the network will be conducted under a Bayesian random-effects model using Markov-chain Monte-Carlo simulation, with 10 000 burn-ins and 100 000 iterations. We will calculate the ORs and corresponding 95% credible intervals of network estimates with a consistency model. We will report the impact of specific interventions within each domain against standard colonoscopy. We will perform a Bayesian random-effects pairwise meta-analysis to assess heterogeneity based on the I(2) statistic. We will assess the certainty of evidence using the Grading of Recommendations Assessment, Development and Evaluation framework for network meta-analyses. ETHICS AND DISSEMINATION: Our study does not require research ethics approval given the lack of patient-specific data being collected. The results will be disseminated at national and international gastroenterology conferences and peer-reviewed journals. PROSPERO REGISTRATION NUMBER: CRD42021291814.
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spelling pubmed-96938852022-11-26 Interventions to improve the quality of screening-related colonoscopy: protocol for a systematic review and network meta-analysis of randomised controlled trials Khan, Rishad Vaska, Marcus Ruan, Yibing Bansal, Rishi Gimpaya, Nikko Scaffidi, Michael A Brenner, Darren Leontiadis, G I Grover, Samir C Forbes, Nauzer BMJ Open Gastroenterology and Hepatology INTRODUCTION: Colonoscopy quality can vary depending on endoscopist-related factors. Quality indicators, such as adenoma detection rate (ADR), have been adopted to reduce variations in care. Several interventions aim to improve ADR, but these fall into several domains that have traditionally been difficult to compare. We will conduct a systematic review and network meta-analysis of randomised controlled trials evaluating the efficacies of interventions to improve colonoscopy quality and report our findings according to clinically relevant interventional domains. METHODS AND ANALYSIS: We will search MEDLINE (Ovid), PubMed, EMBASE, CINAHL, Web of Science, Scopus and Evidence-Based Medicine from inception to September 2022. Four reviewers will screen for eligibility and abstract data in parallel, with two accordant entries establishing agreement and with any discrepancies resolved by consensus. The primary outcome will be ADR. Two authors will independently conduct risk of bias assessments. The analyses of the network will be conducted under a Bayesian random-effects model using Markov-chain Monte-Carlo simulation, with 10 000 burn-ins and 100 000 iterations. We will calculate the ORs and corresponding 95% credible intervals of network estimates with a consistency model. We will report the impact of specific interventions within each domain against standard colonoscopy. We will perform a Bayesian random-effects pairwise meta-analysis to assess heterogeneity based on the I(2) statistic. We will assess the certainty of evidence using the Grading of Recommendations Assessment, Development and Evaluation framework for network meta-analyses. ETHICS AND DISSEMINATION: Our study does not require research ethics approval given the lack of patient-specific data being collected. The results will be disseminated at national and international gastroenterology conferences and peer-reviewed journals. PROSPERO REGISTRATION NUMBER: CRD42021291814. BMJ Publishing Group 2022-11-23 /pmc/articles/PMC9693885/ /pubmed/36424103 http://dx.doi.org/10.1136/bmjopen-2022-061855 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Gastroenterology and Hepatology
Khan, Rishad
Vaska, Marcus
Ruan, Yibing
Bansal, Rishi
Gimpaya, Nikko
Scaffidi, Michael A
Brenner, Darren
Leontiadis, G I
Grover, Samir C
Forbes, Nauzer
Interventions to improve the quality of screening-related colonoscopy: protocol for a systematic review and network meta-analysis of randomised controlled trials
title Interventions to improve the quality of screening-related colonoscopy: protocol for a systematic review and network meta-analysis of randomised controlled trials
title_full Interventions to improve the quality of screening-related colonoscopy: protocol for a systematic review and network meta-analysis of randomised controlled trials
title_fullStr Interventions to improve the quality of screening-related colonoscopy: protocol for a systematic review and network meta-analysis of randomised controlled trials
title_full_unstemmed Interventions to improve the quality of screening-related colonoscopy: protocol for a systematic review and network meta-analysis of randomised controlled trials
title_short Interventions to improve the quality of screening-related colonoscopy: protocol for a systematic review and network meta-analysis of randomised controlled trials
title_sort interventions to improve the quality of screening-related colonoscopy: protocol for a systematic review and network meta-analysis of randomised controlled trials
topic Gastroenterology and Hepatology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9693885/
https://www.ncbi.nlm.nih.gov/pubmed/36424103
http://dx.doi.org/10.1136/bmjopen-2022-061855
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