Systematic data ingratiation of clinical trial recruitment locations for geographic-based query and visualization.
Systematic data ingratiation of clinical trial recruitment locations for geographic-based query and visualization.
复制标题
临床试验招募地点的系统数据集成，用于基于地理的查询和可视化。
DOI：
10.1016/j.ijmedinf.2017.10.003
复制
发表时间：
2017
影响因子：
4.9
通讯作者：
Weng,Chunhua
中科院分区：
文献类型：
--
作者：
Luo,Jake;Chen,Weiheng;Wu,Min;Weng,Chunhua
背景临床试验计划的先前研究表明，在开始招募参与者之前搜索和筛选招募地点至关重要。然而，目前还没有开发出系统的方法来支持临床研究者根据他们感兴趣的临床试验因素搜索候选招募站点。 目的在本研究中，我们的目标是开发一种新方法来整合存储在临床试验文件中的超过一百万个异构招募站点的位置数据。可以使用基于地图的信息检索方法来搜索和可视化集成的招聘地点数据。该方法能够对大量临床试验中的招募地点进行系统搜索和分析。方法使用地理编码方法对超过183,000个临床试验的超过140万个招募地点的位置数据进行标准化和整合。整合后的数据可用于支持招聘网站的地理信息检索。此外，超过6000个临床试验目标病症和近4000个干预措施的信息也被集成到系统中并链接到招募地点。这种数据集成使得能够构建一种新颖的基于地图的查询系统。该系统将允许临床研究人员根据目标条件和干预措施搜索和可视化临床试验的候选招募地点。结果评估结果显示，140万个招募地点的地理位置测绘覆盖率为99.8%。对随机检索的200个招聘地点进行评价，地理信息测绘正确率为96.5%。还检索并分析了前 30 个国家的招聘强度。数据分析结果表明，不同国家和地区的招募强度存在显着差异。结论本研究提供了一种新的数据处理框架，用于从临床试验文件中提取和整合异构招募地点的位置数据。开发的系统可以支持使用目标临床试验因素有效检索和分析潜在的招募地点。
BackgroundPrior studies of clinical trial planning indicate that it is crucial to search and screen recruitment sites before starting to enroll participants. However, currently there is no systematic method developed to support clinical investigators to search candidate recruitment sites according to their interested clinical trial factors.ObjectiveIn this study, we aim at developing a new approach to integrating the location data of over one million heterogeneous recruitment sites that are stored in clinical trial documents. The integrated recruitment location data can be searched and visualized using a map-based information retrieval method. The method enables systematic search and analysis of recruitment sites across a large amount of clinical trials.MethodsThe location data of more than 1.4 million recruitment sites of over 183,000 clinical trials was normalized and integrated using a geocoding method. The integrated data can be used to support geographic information retrieval of recruitment sites. Additionally, the information of over 6000 clinical trial target disease conditions and close to 4000 interventions was also integrated into the system and linked to the recruitment locations. Such data integration enabled the construction of a novel map-based query system. The system will allow clinical investigators to search and visualize candidate recruitment sites for clinical trials based on target conditions and interventions.ResultsThe evaluation results showed that the coverage of the geographic location mapping for the 1.4 million recruitment sites was 99.8%. The evaluation of 200 randomly retrieved recruitment sites showed that the correctness of geographic information mapping was 96.5%. The recruitment intensities of the top 30 countries were also retrieved and analyzed. The data analysis results indicated that the recruitment intensity varied significantly across different countries and geographic areas.ConclusionThis study contributed a new data processing framework to extract and integrate the location data of heterogeneous recruitment sites from clinical trial documents. The developed system can support effective retrieval and analysis of potential recruitment sites using target clinical trial factors.