Rietbergen Charlotte, Stefansdottir Gudrun, Leufkens Hubert G, Knol Mirjam J, De Bruin Marie L, Klugkist Irene
Department of Methodology and Statistics, Faculty of Social and Behavioural Sciences, Utrecht University, Utrecht, Netherlands.
Astellas Pharma (Europe), Leiden, Netherlands.
Front Med (Lausanne). 2018 Feb 22;4:228. doi: 10.3389/fmed.2017.00228. eCollection 2017.
The current system of harm assessment of medicines has been criticized for relying on intuitive expert judgment. There is a call for more quantitative approaches and transparency in decision-making. Illustrated with the case of cardiovascular safety concerns for rosiglitazone, we aimed to explore a structured procedure for the collection, quality assessment, and statistical modeling of safety data from observational and randomized studies. We distinguished five stages in the synthesis process. In Stage I, the general research question, population and outcome, and general inclusion and exclusion criteria are defined and a systematic search is performed. Stage II focusses on the identification of sub-questions examined in the included studies and the classification of the studies into the different categories of sub-questions. In Stage III, the quality of the identified studies is assessed. Coding and data extraction are performed in Stage IV. Finally, meta-analyses on the study results per sub-question are performed in Stage V. A Pubmed search identified 30 randomized and 14 observational studies meeting our search criteria. From these studies, we identified 4 higher level sub-questions and 4 lower level sub-questions. We were able to categorize 29 individual treatment comparisons into one or more of the sub-question categories, and selected study duration as an important covariate. We extracted covariate, outcome, and sample size information at the treatment arm level of the studies. We extracted absolute numbers of myocardial infarctions from the randomized study, and adjusted risk estimates with 95% confidence intervals from the observational studies. Overall, few events were observed in the randomized studies that were frequently of relatively short duration. The large observational studies provided more information since these were often of longer duration. A Bayesian random effects meta-analysis on these data showed no significant increase in risk of rosiglitazone for any of the sub-questions. The proposed procedure can be of additional value for drug safety assessment because it provides a stepwise approach that guides the decision-making in increasing process transparency. The procedure allows for the inclusion of results from both randomized an observational studies, which is especially relevant for this type of research.
当前的药品危害评估体系因依赖专家直观判断而受到批评。人们呼吁在决策过程中采用更多定量方法并提高透明度。以罗格列酮心血管安全性问题为例,我们旨在探索一种结构化程序,用于收集、质量评估以及对观察性研究和随机对照研究的安全数据进行统计建模。我们在综合过程中区分了五个阶段。在第一阶段,定义总体研究问题、人群和结局,以及一般纳入和排除标准,并进行系统检索。第二阶段专注于确定纳入研究中所考察的子问题,并将研究分类到不同类别的子问题中。在第三阶段,评估所确定研究的质量。第四阶段进行编码和数据提取。最后,在第五阶段对每个子问题的研究结果进行荟萃分析。通过PubMed检索,我们找到了30项随机对照研究和14项观察性研究,这些研究符合我们的检索标准。从这些研究中,我们确定了4个高层次子问题和4个低层次子问题。我们能够将29个个体治疗比较归入一个或多个子问题类别,并选择研究持续时间作为一个重要协变量。我们在研究的治疗组层面提取了协变量、结局和样本量信息。我们从随机对照研究中提取了心肌梗死的绝对病例数,并从观察性研究中提取了调整后的风险估计值及95%置信区间。总体而言,在随机对照研究中观察到的事件较少,且这些研究的持续时间通常较短。大型观察性研究提供了更多信息,因为它们的持续时间往往更长。对这些数据进行的贝叶斯随机效应荟萃分析表明,对于任何子问题,罗格列酮的风险均未显著增加。所提出的程序对于药物安全性评估可能具有额外价值,因为它提供了一种逐步方法,有助于在提高过程透明度的同时指导决策。该程序允许纳入随机对照研究和观察性研究的结果,这对于此类研究尤为重要。