Sauthier Philippe, Breguet Magali, Rozenholc Alexandre, Sauthier Michaël
Centre Hospitalier de l'Université de Montréal, Montreal University, Montreal, Quebec, Canada.
Int J Gynecol Cancer. 2015 May;25(4):729-33. doi: 10.1097/IGC.0000000000000401.
To create an easy-to-use dynamic database designed specifically for the Quebec Trophoblastic Disease Registry (RMTQ).
It is now well established that much of the success in managing trophoblastic diseases comes from the development of national and regional reference centers. Computerized databases allow the optimal use of data stored in these centers.
We have created an electronic data registration system by producing a database using FileMaker Pro 12. It uses 11 external tables associated with a unique identification number for each patient. Each table allows specific data to be recorded, incorporating demographics, diagnosis, automated staging, laboratory values, pathological diagnosis, and imaging parameters.
From January 1, 2009, to December 31, 2013, we used our database to register 311 patients with 380 diseases and have seen a 39.2% increase in registrations each year between 2009 and 2012. This database allows the automatic generation of semilogarithmic curves, which take into account β-hCG values as a function of time, complete with graphic markers for applied treatments (chemotherapy, radiotherapy, or surgery). It generates a summary sheet for a synthetic vision in real time.
We have created, at a low cost, an easy-to-use database specific to trophoblastic diseases that dynamically integrates staging and monitoring. We propose a 10-step procedure for a successful trophoblastic database. It improves patient care, research, and education on trophoblastic diseases in Quebec and leads to an opportunity for collaboration on a national Canadian registry.
创建一个专门为魁北克滋养细胞疾病登记处(RMTQ)设计的易于使用的动态数据库。
现在已经明确,滋养细胞疾病管理的许多成功都来自于国家和地区参考中心的发展。计算机化数据库能够优化这些中心所存储数据的使用。
我们通过使用FileMaker Pro 12制作数据库创建了一个电子数据登记系统。它使用11个外部表,每个患者都有一个唯一的识别号码。每个表允许记录特定数据,包括人口统计学、诊断、自动分期、实验室值、病理诊断和影像参数。
从2009年1月1日至2013年12月31日,我们使用该数据库登记了311例患者的380种疾病,并且在2009年至2012年期间每年的登记数量增长了39.2%。该数据库允许自动生成半对数曲线,该曲线将β - hCG值作为时间的函数进行考虑,并配有针对所应用治疗(化疗、放疗或手术)的图形标记。它实时生成一份综合视图的汇总表。
我们以低成本创建了一个专门针对滋养细胞疾病的易于使用的数据库,该数据库动态整合了分期和监测。我们提出了一个成功创建滋养细胞数据库的10步程序。它改善了魁北克滋养细胞疾病的患者护理、研究和教育,并为加拿大国家登记处的合作提供了机会。