数据清理和临床试验数据的协调:阿片类药物使用障碍的药物辅助治疗
Raymond R Balise1, Mei-Chen Hu2, Anna R Calderon1
1Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, Florida, United States of America.
PloS one
|November 21, 2024
概括
协调阿片类药物使用障碍 (OUD) 临床试验数据对于比较患者特征至关重要. 这一过程,尽管数据不一致,但为未来的物质使用障碍研究提供了宝贵的见解.
科学领域:
- 临床研究 临床研究
- 数据科学数据科学数据科学
- 成 药物 药物 药物 药物
背景情况:
- 在国家药物滥用治疗临床试验网络 (CTN) 中,针对阿片类药物使用障碍 (OUD) 进行了大规模的临床试验.
- 这些试验的数据仍然不协调,这阻碍了对患者特征的比较分析.
- 这种限制影响了在不同治疗方式和患者群体中得出全面结论的能力.
研究的目的:
- 详细介绍从涉及三个主要OUD临床试验的大规模数据协调过程中学到的经验教训.
- 为生物医学研究人员提供一个框架和最佳实践,为未来的研究进行数据协调.
- 为了能够在不同OUD治疗试验中对患者特征进行比较分析.
主要方法:
- 来自三个CTN试验的协调患者级数据:CTN-0027 (甲与布普伦诺芬),CTN-0030 (处方阿片类药物使用布普伦诺芬) 和CTN-0051 (布普伦诺芬与延长释放纳尔特雷).
- 创建了23个数据库表,包含110多个变量和3个元数据表,涵盖人口统计,病史/精神病史,药物使用,戒断和治疗细节.
- 解决和解决了与数据组织和公开可用的数据集中的忠实性相关的问题.
主要成果:
- 在三个不同的OUD治疗试验中,成功地协调了2,492名患者的数据.
- 生成了涵盖社会,人口,医疗,精神病和物质使用变量的全面数据集.
- 确定并解决了多个临床试验数据固有的数据质量和一致性问题.
结论:
- 即使使用异质编码和分类,也可以实现OUD临床试验数据的系统协调.
- 标准化通常评估的特征是成功数据集成的关键.
- 建议在未来的物质使用障碍临床试验数据集中采用数据库规范化和"整齐数据"原则,以提高可比性和分析.
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