Systematic Review and Meta-Analysis Protocol: Beta adrenoreceptor drugs and risk of Parkinson’s disease

Abstract

AbstractParkinson’s disease (PD) is a progressive nervous system disorder characterised by the loss of dopaminergic neurons leading to motor and non-motor symptoms. Accumulation of α-synuclein protein (SNCA) in the form of Lewy bodies has been observed in dopaminergic neurons of PD patients. Potential relationships between β-adrenergic drugs (agonists and antagonist) and SNCA synthesis in PD have been recently suggested. This study aims to systematically review the evidence from various epidemiological studies that analysed the association between beta-adrenoceptors (agonists and antagonists) and the risk of PD. Biomedical databases such as PubMed and Embase will be searched to identify the individual studies that reported the relationship between beta-adrenoceptors and the risk of PD. JBI critical appraisal tool scale will be used to assess the quality of included studies. The primary outcome will be to compute the pooled risk of PD among beta-agonist and antagonist users. Furthermore, we will consider the pooled risk of PD based on study design, types of beta-agonist or antagonist exposure under secondary outcomes. RevMan 5, STATA 16, and ProMeta 3.0 will be used to conduct the statistical analysis.