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Comparison of different transcatheter interventions for treatment of mitral regurgitation: A protocol for a network meta-analysis
BACKGROUND: The arrival of transcatheter mitral valve therapies has provided feasible and safe alternatives to medical and surgical treatments for mitral regurgitation. The aim of this study is to estimate the relative efficacy and safety of different transcatheter mitral valve therapies for mitral...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7738030/ https://www.ncbi.nlm.nih.gov/pubmed/33327338 http://dx.doi.org/10.1097/MD.0000000000023623 |
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author | Zhang, Bowen Li, Muyang Kang, Yingying Xing, Lina Zhang, Yu |
author_facet | Zhang, Bowen Li, Muyang Kang, Yingying Xing, Lina Zhang, Yu |
author_sort | Zhang, Bowen |
collection | PubMed |
description | BACKGROUND: The arrival of transcatheter mitral valve therapies has provided feasible and safe alternatives to medical and surgical treatments for mitral regurgitation. The aim of this study is to estimate the relative efficacy and safety of different transcatheter mitral valve therapies for mitral regurgitation patients through network meta-analysis. METHODS: A systematic search will be performed using PubMed, EMBASE, the Cochrane Library, Web of Science, Chinese Biomedical Literature Database, and China National Knowledge Infrastructure to include random controlled trials and nonrandom controlled trials comparing the efficacy and safety of different transcatheter mitral valve techniques. The risk of bias for the included nonrandom controlled studies will be evaluated according to Risk of Bias in Non-randomized Studies - of Interventions. For random controlled trials, we will use Cochrane Handbook version 5.1.0 as the risk of bias tool. A Bayesian network meta-analysis will be conducted using R-4.0.3 software. Grading of recommendations assessment, development, and evaluation will be used to assess the quality of evidence. RESULTS: The results of this network meta-analysis will be submitted to a peer-reviewed journal for publication. CONCLUSION: This study will provide broad evidence of efficacy and safety of different transcatheter mitral valve therapies for treatment of mitral regurgitation and provide suggestions for clinical practice and future research. PROTOCOL REGISTRATION NUMBER: INPLASY2020110034. |
format | Online Article Text |
id | pubmed-7738030 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-77380302020-12-16 Comparison of different transcatheter interventions for treatment of mitral regurgitation: A protocol for a network meta-analysis Zhang, Bowen Li, Muyang Kang, Yingying Xing, Lina Zhang, Yu Medicine (Baltimore) 3400 BACKGROUND: The arrival of transcatheter mitral valve therapies has provided feasible and safe alternatives to medical and surgical treatments for mitral regurgitation. The aim of this study is to estimate the relative efficacy and safety of different transcatheter mitral valve therapies for mitral regurgitation patients through network meta-analysis. METHODS: A systematic search will be performed using PubMed, EMBASE, the Cochrane Library, Web of Science, Chinese Biomedical Literature Database, and China National Knowledge Infrastructure to include random controlled trials and nonrandom controlled trials comparing the efficacy and safety of different transcatheter mitral valve techniques. The risk of bias for the included nonrandom controlled studies will be evaluated according to Risk of Bias in Non-randomized Studies - of Interventions. For random controlled trials, we will use Cochrane Handbook version 5.1.0 as the risk of bias tool. A Bayesian network meta-analysis will be conducted using R-4.0.3 software. Grading of recommendations assessment, development, and evaluation will be used to assess the quality of evidence. RESULTS: The results of this network meta-analysis will be submitted to a peer-reviewed journal for publication. CONCLUSION: This study will provide broad evidence of efficacy and safety of different transcatheter mitral valve therapies for treatment of mitral regurgitation and provide suggestions for clinical practice and future research. PROTOCOL REGISTRATION NUMBER: INPLASY2020110034. Lippincott Williams & Wilkins 2020-12-11 /pmc/articles/PMC7738030/ /pubmed/33327338 http://dx.doi.org/10.1097/MD.0000000000023623 Text en Copyright © 2020 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by/4.0 This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/licenses/by/4.0 |
spellingShingle | 3400 Zhang, Bowen Li, Muyang Kang, Yingying Xing, Lina Zhang, Yu Comparison of different transcatheter interventions for treatment of mitral regurgitation: A protocol for a network meta-analysis |
title | Comparison of different transcatheter interventions for treatment of mitral regurgitation: A protocol for a network meta-analysis |
title_full | Comparison of different transcatheter interventions for treatment of mitral regurgitation: A protocol for a network meta-analysis |
title_fullStr | Comparison of different transcatheter interventions for treatment of mitral regurgitation: A protocol for a network meta-analysis |
title_full_unstemmed | Comparison of different transcatheter interventions for treatment of mitral regurgitation: A protocol for a network meta-analysis |
title_short | Comparison of different transcatheter interventions for treatment of mitral regurgitation: A protocol for a network meta-analysis |
title_sort | comparison of different transcatheter interventions for treatment of mitral regurgitation: a protocol for a network meta-analysis |
topic | 3400 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7738030/ https://www.ncbi.nlm.nih.gov/pubmed/33327338 http://dx.doi.org/10.1097/MD.0000000000023623 |
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