Xinyu Hu1, Lulu Li1, Yuanying Song1, Yun Lu2. 1. Chengdu University of Traditional Chinese Medicine, School of Clinical Medicine. 2. Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China.
Abstract
BACKGROUND: Previous review indicate that the effect of traditional Chinese medicines (TCM) on pulmonary heart disease (PHD) remains uncertainty. Therefore, we designed this study to systematically evaluate the effectiveness and safety of TCM in the treatment of PHD. METHODS: Nine online databases will be searched from inception to October 01, 2021, and we will not restrict the language on included trials. Randomized controlled trials that included patients with PHD receiving TCM therapy vs a control group will be included. Two of us will perform independently the selection of studies, risk of bias assessment, and data extraction. The RevMan V.5.2 software with fixed effects model or random effects model will be used to syntheses the data, according to the heterogeneity test to conduct the data synthesis. The dichotomous data and the continuous data will be presented with risk ratios with 95% confidence intervals and weighted mean differences or standardized mean differences with 95% confidence intervals. And we will use the Grading of Recommendations Assessment, Development, and Evaluation system to evaluate the evidence quality. RESULT: This study will assess effects and safety for TCM on PHD. CONCLUSION: The conclusion of this study will provide evidence to prove the safety and effectiveness of TCM on PHD. TRIAL REGISTRATION NUMBER: INPLASY2020120024.
BACKGROUND: Previous review indicate that the effect of traditional Chinese medicines (TCM) on pulmonary heart disease (PHD) remains uncertainty. Therefore, we designed this study to systematically evaluate the effectiveness and safety of TCM in the treatment of PHD. METHODS: Nine online databases will be searched from inception to October 01, 2021, and we will not restrict the language on included trials. Randomized controlled trials that included patients with PHD receiving TCM therapy vs a control group will be included. Two of us will perform independently the selection of studies, risk of bias assessment, and data extraction. The RevMan V.5.2 software with fixed effects model or random effects model will be used to syntheses the data, according to the heterogeneity test to conduct the data synthesis. The dichotomous data and the continuous data will be presented with risk ratios with 95% confidence intervals and weighted mean differences or standardized mean differences with 95% confidence intervals. And we will use the Grading of Recommendations Assessment, Development, and Evaluation system to evaluate the evidence quality. RESULT: This study will assess effects and safety for TCM on PHD. CONCLUSION: The conclusion of this study will provide evidence to prove the safety and effectiveness of TCM on PHD. TRIAL REGISTRATION NUMBER: INPLASY2020120024.
Authors: Gordon H Guyatt; Andrew D Oxman; Holger J Schünemann; Peter Tugwell; Andre Knottnerus Journal: J Clin Epidemiol Date: 2010-12-24 Impact factor: 6.437
Authors: Gordon H Guyatt; Andrew D Oxman; Gunn E Vist; Regina Kunz; Yngve Falck-Ytter; Pablo Alonso-Coello; Holger J Schünemann Journal: BMJ Date: 2008-04-26
Authors: David Moher; Larissa Shamseer; Mike Clarke; Davina Ghersi; Alessandro Liberati; Mark Petticrew; Paul Shekelle; Lesley A Stewart Journal: Syst Rev Date: 2015-01-01