Agnieszka Szmigiel, Miguel Monteiro da Rocha, Kate Browne, Daniel Morales, David Benee Olsen, Charlotte Warren-Gash, Ian Douglas, Krishnan Bhaskaran, Helena Carreira
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引用次数: 0
Abstract
Background: β-agonists and β-antagonists are among the most prescribed drugs worldwide. In 2018, studies suggesting a harmful association between propranolol and Parkinson's disease (PD) prompted a signal procedure by the European Medicines Agency's safety committee, which concluded with no update of product information. Several studies have been published since then. We aimed to systematically review, critically appraise, and meta-analyse all studies on the association between the use of β-antagonists (including propranolol) and β-agonists, and the risk of PD.
Methods: We searched Embase and Medline up to December 2024 for observational and intervention studies that reported relative risk estimates of the association between use of these medicines and PD. Two reviewers screened the records, extracted the data, and assessed the risk of bias. The restricted maximum likelihood method was used to compute pooled effect estimates and 95% confidence intervals (CIs).
Results: Twenty-two studies were eligible. Overall, 20 had a high risk of bias in at least one domain. Twelve studies had medium to high risk of outcome misclassification. Of the 14 studies concerning β-antagonists, eleven had an unclear or high risk of protopathic bias, as propranolol is indicated for the treatment of essential tremor. Control for confounding by socio-economic status, area of residence (urban/rural), and smoking (a protective factor against PD) was deficient or lacking in 9/22, 15/22, and 12/22 studies, respectively. Lag times were applied in 9/22 studies. In meta-analysis, the summary relative risk (RR) of PD was 1.41 (95% CI: 1.18-1.68) for the class of β-antagonists (12 studies) and 0.93 (0.84-1.03) for β2-agonists (11 studies). Among specific β-antagonists, the summary RR of PD was 2.36 (1.66-3.36) for propranolol (7 studies), 0.84 (0.80-0.88) for carvedilol (3 studies) and 1.02 (0.87-1.18) for metoprolol (4 studies). For specific β2-agonists, summary RR was 0.88 (0.77-1.01) for salbutamol (7 studies), 0.91 (0.88-0.95) for short-acting β2-agonists (6 studies), and 0.85 (0.76-0.96) for long-acting β2 agonists (5 studies). Restricting to subgroups based on quality criteria resulted in weaker or non-statistically significant associations.
Conclusion: The quality and quantity of the available evidence do not support a causal association between use of β-adrenoreceptor modulators and PD. Significant associations are most likely explained by protopathic bias and confounding.
期刊介绍:
The aim of Pharmacoepidemiology and Drug Safety is to provide an international forum for the communication and evaluation of data, methods and opinion in the discipline of pharmacoepidemiology. The Journal publishes peer-reviewed reports of original research, invited reviews and a variety of guest editorials and commentaries embracing scientific, medical, statistical, legal and economic aspects of pharmacoepidemiology and post-marketing surveillance of drug safety. Appropriate material in these categories may also be considered for publication as a Brief Report.
Particular areas of interest include:
design, analysis, results, and interpretation of studies looking at the benefit or safety of specific pharmaceuticals, biologics, or medical devices, including studies in pharmacovigilance, postmarketing surveillance, pharmacoeconomics, patient safety, molecular pharmacoepidemiology, or any other study within the broad field of pharmacoepidemiology;
comparative effectiveness research relating to pharmaceuticals, biologics, and medical devices. Comparative effectiveness research is the generation and synthesis of evidence that compares the benefits and harms of alternative methods to prevent, diagnose, treat, and monitor a clinical condition, as these methods are truly used in the real world;
methodologic contributions of relevance to pharmacoepidemiology, whether original contributions, reviews of existing methods, or tutorials for how to apply the methods of pharmacoepidemiology;
assessments of harm versus benefit in drug therapy;
patterns of drug utilization;
relationships between pharmacoepidemiology and the formulation and interpretation of regulatory guidelines;
evaluations of risk management plans and programmes relating to pharmaceuticals, biologics and medical devices.