TY - JOUR AU - Kürzinger, Marie-Laure AU - Schück, Stéphane AU - Texier, Nathalie AU - Abdellaoui, Redhouane AU - Faviez, Carole AU - Pouget, Julie AU - Zhang, Ling AU - Tcherny-Lessenot, Stéphanie AU - Lin, Stephen AU - Juhaeri, Juhaeri PY - 2018 DA - 2018/11/20 TI -基于网络的信号检测使用法国医学论坛数据:对比分析JO - J医学互联网Res SP - e10466 VL - 20 IS - 11 KW -不良事件KW -互联网KW -医疗论坛KW -药物警戒KW -信号检测KW -不比例报告信号KW -社交媒体AB -背景:虽然传统的药物警戒信号检测方法是基于自发报告，但社交媒体的使用正在兴起。基于web的数据的潜在优势取决于其数量和实时可用性，能够及早发现不相称报告(sdr)的信号。目的:本研究旨在(1)评估从法国患者医疗论坛检测到的特别提款权与传统报告系统检测到的特别提款权的一致性;(2)评估特别提款权比传统报告系统更早识别的能力。方法:使用2005年至2015年在患者论坛上发布的信息。我们保留了8个歧化定义。通过描述敏感性、特异性、阳性预测值(PPV)、阴性预测值(NPV)、准确性、接受者工作特征曲线和曲线下面积(AUC)，将论坛中的sdr与VigiBase中检测到的sdr进行比较。提供了论坛和VigiBase检测到sdr的日期之间以月为单位的时间差。结果:比较分析显示，敏感性为29% ~ 50.6%，特异性为86.1% ~ 95.5%，PPV为51.2% ~ 75.4%，NPV为68.5% ~ 91.6%，准确度为68% ~ 87.7%。使用度量经验贝叶斯几何平均，AUC达到0.85。 Up to 38% (12/32) of the SDRs were detected earlier in the forums than that in VigiBase. Conclusions: The specificity, PPV, and NPV were high. The overall performance was good, showing that data from medical forums may be a valuable source for signal detection. In total, up to 38% (12/32) of the SDRs could have been detected earlier, thus, ensuring the increased safety of patients. Further enhancements are needed to investigate the reliability and validation of patients’ medical forums worldwide, the extension of this analysis to all possible drugs or at least to a wider selection of drugs, as well as to further assess performance against established signals. SN - 1438-8871 UR - //www.mybigtv.com/2018/11/e10466/ UR - https://doi.org/10.2196/10466 UR - http://www.ncbi.nlm.nih.gov/pubmed/30459145 DO - 10.2196/10466 ID - info:doi/10.2196/10466 ER -