Background: Overweight and obesity characterized by abnormal or excessive fat accumulation, can cause many complications. Auriculotherapy, as the traditional Chinese technique, is widely applied in clinical trials for the management of body weight. The program aims to evaluate the effect and safety of auriculotherapy therapy and intervention types on weight control.
Methods: All randomized controlled trials related to auriculotherapy targeting overweight and obesity will be searched in online databases, such as Medline, EMbase, Cochrane Central Register of Controlled Trials, AMED, CBM, Wanfang Data, and other databases from their inception to July 2019. The primary outcome is the difference in BMI from baseline to the end of studies. Secondary outcomes include the change of weight, percentage of body fat, waist circumference, serum lipid before and after treatment. Study selection, data extraction, and assessment of risk of bias will be performed independently by 2 reviewers. Comprehensive Meta-Analysis software (Version 3; Biostat Inc.) will be used for data synthesis.
Results: This study will provide a comprehensive review of the available evidence for the treatment of obesity with auriculotherapy.
Conclusion: The conclusion of this study will provide evidence to judge whether auriculotherapy is an effective therapeutic intervention for obesity.
Prospero Registration Number: CRD42019136827.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6716699 | PMC |
http://dx.doi.org/10.1097/MD.0000000000016959 | DOI Listing |
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Department of Geographic Information System, Chinese Academy of Surveying and mapping, Beijing, 100036, China.
Geographic entity matching is an important means for multi-source spatial data fusion and information association and sharing. Corresponding matching methods have been designed by existing studies for different types of entity data characteristics, such as line and area. However, these approaches are often limited in the generalization ability for matching heterogeneous data from multiple sources and the accuracy for complex pattern matching.
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