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Safety of antipsychotic drugs: A systematic review of disproportionality analysis studies

机译:抗精神病药物的安全性:对不成比例分析研究的系统综述

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Antipsychotic drugs are commonly prescribed, mainly for the treatment of schizophrenia and other psychotic disorders. Disproportionality analysis of pharmacovigilance data from national and international databases have been recently utilized to investigate the side-effect profiles of antipsychotics and have provided unique insights of their safety. Among several national and international spontaneous reporting databases the databases of the World Health Organization (VigiBase), of the European Medicines Agency (EudraVigilance) and the US Food and Drug Administration (FAERS) incorporate millions of Individual Case Safety Reports. The aim of our study was to systematically review published disproportionality analyses on antipsychotic drugs, in order to summarize the current state of methodology and potential strengths of this analysis while highlighting safety signal generated for these pharmacological group. PubMed was searched using a search algorithm combining terms for anti psychotic drugs and disproportionality analysis. A total of 39 articles were found to be eligible corresponding to 38 original disproportionality studies. Different measures of disproportionality were used in each study: reporting odds ratio (ROR), proportional reporting ratio (PRR), empirical Bayes geometric mean (EBGM) and the information component (IC). Despite the inherent limitations of the pharmacovigilance databases disproportionality analysis provides complemented evidence from RCTs on the safety of antipsychotics, especially regarding participants often excluded from RCTs, such as pregnant and breastfeeding women, children and participants with drug abuse, comorbidities or concomitant medications.
机译:抗精神病药物是常见的处方药,主要用于治疗精神分裂症和其他精神疾病。最近,对来自国家和国际数据库的药物警戒数据进行了不均衡性分析,以调查抗精神病药物的副作用,并对其安全性提供了独特的见解。在几个国家和国际自发报告数据库中,世界卫生组织(VigiBase)、欧洲药品监督管理局(EudraVigilance)和美国食品和药物管理局(FAERS)的数据库包含了数百万份个案安全报告。我们研究的目的是系统地回顾已发表的抗精神病药物的不均衡性分析,以总结该分析的方法学现状和潜在优势,同时强调这些药物组产生的安全信号。PubMed的搜索算法结合了抗精神病药物和不均衡性分析。共有39篇文章被发现符合条件,与38项原始不相称性研究相对应。在每项研究中使用了不同的不成比例度量:报告优势比(ROR)、比例报告比(PRR)、经验贝叶斯几何平均数(EBGM)和信息成分(IC)。尽管药物警戒数据库存在固有的局限性,但不均衡性分析从RCT中提供了关于抗精神病药物安全性的补充证据,尤其是关于经常被排除在RCT之外的参与者,如孕妇和哺乳期妇女、儿童和药物滥用、共病或伴随药物的参与者。

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