Background: Globally, coronary heart disease (CHD) is a primary cause of morbidity leading to disabilities and mortality. Modern clinical practice adopts several pharmacological methods to treat CHD. Angina pectoris refers to sever chest pain due to CHD, it has a profound impact on the wellbeing of patients. Moreover, angina pectoris is a crucial prognosis predictor. The aim of the current study is to evaluate the effectiveness and safeness of using combined rosuvastatin and atorvastatin to treat CHD patients.
Methods: A systematic literature search for articles will be conducted on several electronic databases from their inception to May 2021. The search will include all randomized controlled trials examining the use of rosuvastatin in combination with atorvastatin to treat CHD patients. The databases are as follows: MEDLINE, Web of Science, the Cochrane Library, WanFang database, China National Knowledge Infrastructure, and EMBASE. A couple of authors will independently assess the eligibility, extract study data, and assess the possibility of bias. Moreover, depending on the type of data and heterogeneity of the included studies, either the Mantel-Haensel fixed-effect model or the DerSimonian-Laird random-effect model will be used to estimate the relative risk, mean differences, or standardized mean differences and 95% confidence intervals. All differences in opinion shall be decided by involving an additional author in the discussion. Lastly, the RevMan software (version: 5.3) will be used to perform sensitivity analysis, data synthesis, and risk of bias assessment.
Results: The effectiveness and security of using rosuvastatin in combination with atorvastatin to treat CHD patients will be systematically evaluated.
Conclusion: This study will provide evidence to evaluate the efficacy and security of using a combination of rosuvastatin and atorvastatin to treat CHD patients.
Ethics And Dissemination: Ethical approval will not be required since it is based on already published data.
Registration Number: DOI 10.17605/OSF.IO/VYBDR (https://osf.io/vybdr/).
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| http://dx.doi.org/10.1097/MD.0000000000026340 | DOI Listing |
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