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Acupuncture therapy strategy options in postoperative management after laparoscopic cholecystectomy: A protocol for systematic review and Bayesian meta-analysis
BACKGROUND: Laparoscopic cholecystectomy (LC) is a common surgery accompanied by some unpleasant adverse effects. Clinical trials indicated that acupuncture therapy may help reduce complications in LC. However, no systematic reviews have been conducted on the topic. Therefore, we will evaluate the c...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7793448/ https://www.ncbi.nlm.nih.gov/pubmed/33429810 http://dx.doi.org/10.1097/MD.0000000000024199 |
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author | Zhao, Dong-qin Qian, Guang-yu Jin, Jing Yao, Yin-ping Bian, Xing-mao Zhang, Wei-ping |
author_facet | Zhao, Dong-qin Qian, Guang-yu Jin, Jing Yao, Yin-ping Bian, Xing-mao Zhang, Wei-ping |
author_sort | Zhao, Dong-qin |
collection | PubMed |
description | BACKGROUND: Laparoscopic cholecystectomy (LC) is a common surgery accompanied by some unpleasant adverse effects. Clinical trials indicated that acupuncture therapy may help reduce complications in LC. However, no systematic reviews have been conducted on the topic. Therefore, we will evaluate the current evidence and provide a rank for the efficacy of acupuncture therapy in LC by performing Bayesian network meta-analysis. METHODS: A total of 9 databases will be searched from inception to 10 December 2020. Randomized control trails met the criterion will be included. Quality evaluation of included studies will be performed using Cochrane risk-of-bias tool. STATA 14.0, Addis 1.16.8, R 3.6.3, and OpenBUGS 3.2.3 will be used to conduct pairwise meta-analysis and network meta-analysis. The evidence will be assessed by the Grades of Recommendations Assessment Development and Evaluation. RESULTS: This review will be based on clinical evidence to choose the best choice of acupuncture treatment for LC. And the results will be submitted to a peer-reviewed journal for publication. CONCLUSION: Through this systematic review, we will summarize the best available evidence of acupuncture therapy in LC and help to improve the clinical decision-making ability in LC domain. SYSTEMATIC REVIEW REGISTRATION: The protocol has been registered on INPLASY2020120056. |
format | Online Article Text |
id | pubmed-7793448 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-77934482021-01-11 Acupuncture therapy strategy options in postoperative management after laparoscopic cholecystectomy: A protocol for systematic review and Bayesian meta-analysis Zhao, Dong-qin Qian, Guang-yu Jin, Jing Yao, Yin-ping Bian, Xing-mao Zhang, Wei-ping Medicine (Baltimore) 3800 BACKGROUND: Laparoscopic cholecystectomy (LC) is a common surgery accompanied by some unpleasant adverse effects. Clinical trials indicated that acupuncture therapy may help reduce complications in LC. However, no systematic reviews have been conducted on the topic. Therefore, we will evaluate the current evidence and provide a rank for the efficacy of acupuncture therapy in LC by performing Bayesian network meta-analysis. METHODS: A total of 9 databases will be searched from inception to 10 December 2020. Randomized control trails met the criterion will be included. Quality evaluation of included studies will be performed using Cochrane risk-of-bias tool. STATA 14.0, Addis 1.16.8, R 3.6.3, and OpenBUGS 3.2.3 will be used to conduct pairwise meta-analysis and network meta-analysis. The evidence will be assessed by the Grades of Recommendations Assessment Development and Evaluation. RESULTS: This review will be based on clinical evidence to choose the best choice of acupuncture treatment for LC. And the results will be submitted to a peer-reviewed journal for publication. CONCLUSION: Through this systematic review, we will summarize the best available evidence of acupuncture therapy in LC and help to improve the clinical decision-making ability in LC domain. SYSTEMATIC REVIEW REGISTRATION: The protocol has been registered on INPLASY2020120056. Lippincott Williams & Wilkins 2021-01-08 /pmc/articles/PMC7793448/ /pubmed/33429810 http://dx.doi.org/10.1097/MD.0000000000024199 Text en Copyright © 2021 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 | 3800 Zhao, Dong-qin Qian, Guang-yu Jin, Jing Yao, Yin-ping Bian, Xing-mao Zhang, Wei-ping Acupuncture therapy strategy options in postoperative management after laparoscopic cholecystectomy: A protocol for systematic review and Bayesian meta-analysis |
title | Acupuncture therapy strategy options in postoperative management after laparoscopic cholecystectomy: A protocol for systematic review and Bayesian meta-analysis |
title_full | Acupuncture therapy strategy options in postoperative management after laparoscopic cholecystectomy: A protocol for systematic review and Bayesian meta-analysis |
title_fullStr | Acupuncture therapy strategy options in postoperative management after laparoscopic cholecystectomy: A protocol for systematic review and Bayesian meta-analysis |
title_full_unstemmed | Acupuncture therapy strategy options in postoperative management after laparoscopic cholecystectomy: A protocol for systematic review and Bayesian meta-analysis |
title_short | Acupuncture therapy strategy options in postoperative management after laparoscopic cholecystectomy: A protocol for systematic review and Bayesian meta-analysis |
title_sort | acupuncture therapy strategy options in postoperative management after laparoscopic cholecystectomy: a protocol for systematic review and bayesian meta-analysis |
topic | 3800 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7793448/ https://www.ncbi.nlm.nih.gov/pubmed/33429810 http://dx.doi.org/10.1097/MD.0000000000024199 |
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