scholarly journals The efficacy and safety of Chinese patent medicines in the treatment of chronic atrophic gastritis: A bayesian network meta-analysis

Author(s):  
Yujing Ma ◽  
Jianping Liu ◽  
Xiaomeng Lang ◽  
Xin Kang ◽  
Xioameng Liu ◽  
...  
Andrologia ◽  
2020 ◽  
Vol 52 (11) ◽  
Author(s):  
Hanchao Liu ◽  
Mingxiao Zhang ◽  
Mingchuan Huang ◽  
Hongcai Cai ◽  
Yadong Zhang ◽  
...  

BMJ Open ◽  
2018 ◽  
Vol 8 (10) ◽  
pp. e022142
Author(s):  
Jun Wang ◽  
Yin Wang ◽  
Hui Zhang ◽  
Ming Lu ◽  
Weilu Gao ◽  
...  

IntroductionOsteoarthritis is a common degenerative joint disease that eventually leads to disability and poor quality of life. The main symptoms are joint pain and mobility disorders. If the patient has severe pain or other analgesics are contraindicated, opioids may be a viable treatment option. To evaluate and compare the efficacy and safety of opioids in the treatment of knee or hip osteoarthritis, we will integrate direct and indirect evidence using a Bayesian network meta-analysis to establish hierarchies of these drugs.Methods and analysisWe will search the Medical Literature Analysis and Retrieval System Online, Excerpta Medica database, Cumulative Index to Nursing and Allied Health Literature, Cochrane Library, Web of Science and PsycINFO databases as well as published and unpublished research in international registries and regulatory agency websites for osteoarthritis reports published prior to 5 January 2018. There will be no restrictions on the language. Randomised clinical trials that compare oral or transdermal opioids with other various opioids, placebo or no treatment for patients with knee or hip osteoarthritis will be included. The primary outcomes of efficacy will be pain and function. We will use pain and function scales to evaluate the main outcomes. The secondary outcomes of safety will be defined as the proportion of patients who have stopped treatment due to side effects. Pairwise meta-analyses and Bayesian network meta-analyses will be performed for all related outcome measures. We will conduct subgroup analyses and sensitivity analyses to assess the robustness of our findings. The Grading of Recommendations, Assessment, Development and Evaluations framework will be used to assess the quality of the evidence contributing to each network assessment.Ethics and disseminationThis study does not require formal ethical approval because individual patient data will not be included. The findings will be disseminated through peer-reviewed publications or conference presentations.PROSPERO registration numberCRD42018085503.


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