Overview of CDISC standard and implementation in China / 药学学报

CDISC standard has become a set of global data standards that can be used in clinical study, covering the full life cycle of clinical researches. After nearly 20 years of development and continuous version upgrades, CDISC standard can improve the quality and efficiency of clinical research and drug review, and to facilitate all stakeholders involved in researches to exchange the study data and communicate the outcomes. CDISC standard has been or is to be adopted as standard format in data submission by multiple regulatory authorities, and more widely implemented by the global pharmaceutical community. CDISC standard is gradually adopted in China. The feasibility and roadmap of CDISC standard as the Chinese data submission format requirements are undergoing exploration and piloting further.

Statistical and graphical approaches for disproportionality analysis of spontaneously-reported adverse events in pharmacovigilance / 中国天然药物

AIM@#Combine disproportionality analysis with dynamically interactive graphics to understand spontaneously-reported adverse events in pharmacovigilance.@*METHODS@#Four statistical methods, including Reporting Odds Ratio, Proportional Reporting Ratio, Multi-Item Gamma Poisson Shrinker and Bayesian Confidence Propagation Neural Network that are used for computing disproportionality are described. Tree maps and other graphical techniques are used to display the disproportionality results.@*RESULTS@#Spontaneously-reported adverse events in pharmacovigilance are collected from physicians, patients, or the medical literature by regulatory agencies, pharmaceutical companies and device manufacturers to monitor the safety of a product once it reaches the market. In order to identify potential safety-signals, disproportionality analysis methods compare the rate at which a particular event of interest co-occurs with a given drug with the rate this event occurs without the drug in the event database. Tree maps are employed to interactively display the adverse events for particular drugs and compare the adverse events among the drugs.@*CONCLUSION@#Interactive graphical displays of disproportionality allow the analyst to quickly identify safety signals and perform additional follow-up analyses. Combining statistical methods with dynamically interactive graphics affords insights into the data inaccessible by traditional analysis methods.