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      Acupuncture for biliary colic: a systematic review protocol

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          Biliary colic (BC) is a severe pain associated with nausea and vomiting, which is the most common symptom among the gallstone population. This protocol proposes a methodology for conducting a systematic review and meta-analysis that aims to assess the benefits and safety of acupuncture in patients with BC.

          Methods and analysis

          Clinical trials will be identified through nine databases from inception to December 2020, using Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE, Embase, Allied and Complementary Medicine Database (AMED), CINAHL, China National Knowledge Infrastructure (CNKI), Chinese Biomedical Literature Database (CBM), VIP Database and Wanfang Database. Search words will be used for the BC and acupuncture. The analysis would include randomised, controlled, clinical trials of adults with BC that were published in either Chinese or English. The primary outcome is to measure pain relief. Two or three reviewers should be in charge of study selection, data extraction and evaluating the risk of bias. RevMan software (V.5.4) will be used to perform the assessment of the risk of bias and data synthesis.

          Ethics and dissemination

          Ethics approval will not be required for this review, as it will only involve the collection of literature previously published. The results of this meta-analysis will be disseminated in a peer-reviewed journal or relevant conference, through publication.

          Trial registration number


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          Most cited references 29

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          The Cochrane Collaboration’s tool for assessing risk of bias in randomised trials

          Flaws in the design, conduct, analysis, and reporting of randomised trials can cause the effect of an intervention to be underestimated or overestimated. The Cochrane Collaboration’s tool for assessing risk of bias aims to make the process clearer and more accurate
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            GRADE: an emerging consensus on rating quality of evidence and strength of recommendations.

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              GRADE guidelines: a new series of articles in the Journal of Clinical Epidemiology.

              The "Grades of Recommendation, Assessment, Development, and Evaluation" (GRADE) approach provides guidance for rating quality of evidence and grading strength of recommendations in health care. It has important implications for those summarizing evidence for systematic reviews, health technology assessment, and clinical practice guidelines. GRADE provides a systematic and transparent framework for clarifying questions, determining the outcomes of interest, summarizing the evidence that addresses a question, and moving from the evidence to a recommendation or decision. Wide dissemination and use of the GRADE approach, with endorsement from more than 50 organizations worldwide, many highly influential (http://www.gradeworkinggroup.org/), attests to the importance of this work. This article introduces a 20-part series providing guidance for the use of GRADE methodology that will appear in the Journal of Clinical Epidemiology. Copyright © 2011 Elsevier Inc. All rights reserved.

                Author and article information

                BMJ Open
                BMJ Open
                BMJ Open
                BMJ Publishing Group (BMA House, Tavistock Square, London, WC1H 9JR )
                17 January 2021
                : 11
                : 1
                [1 ]departmentAcupuncture and Tuina School/The 3rd Teaching Hospital , Chengdu University of Traditional Chinese Medicine , Chengdu, China
                [2 ]departmentDepartment of General Surgery , The First Affiliated Hospital of Chengdu University of Traditional Chinese Medicine , Chengdu, China
                Author notes
                [Correspondence to ] Dr Ruirui Sun; sunruirui@ 123456cdutcm.edu.cn ; Dr Fanrong Liang; acuresearch@ 123456126.com

                NS, WZ and YZ are joint first authors.

                © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

                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/.

                Funded by: Special Project of “Central Government Guides Local Science and Technology Development“ in Sichuan Provincial Department of Science and Technology;
                Award ID: 2020ZYD046
                Complementary Medicine
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                complementary medicine, pain management, health & safety, clinical trials


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