Ann B. Barshinger Cancer Institute, Lancaster General Health, Lancaster, Pennsylvania, USA
Division of Gynecologic Oncology, University of Pennsylvania Health System, Philadelphia, Pennsylvania, USA.
Int J Gynecol Cancer. 2024 Oct 7;34(10):1619-1629. doi: 10.1136/ijgc-2024-005677.
Observational and cohort studies using large databases have made important contributions to gynecologic oncology. Knowledge of the advantages and potential limitations of commonly used databases benefits both readers and reviewers. In this review, researchers familiar with National Cancer Database (NCDB), Surveillance, Epidemiology, and End Results Program (SEER), SEER-Medicare, MarketScan, Healthcare Cost and Utilization Project (HCUP), National Surgical Quality Improvement Program (NSQIP), and Premier, describe each database, its included data, access, management, storage, highlights, and limitations. A better understanding of these commonly used datasets can help readers, reviewers, and researchers to more effectively interpret and apply study results, evaluate new research studies, and develop compelling and practice-changing research.
观察性研究和队列研究利用大型数据库为妇科肿瘤学做出了重要贡献。了解常用数据库的优势和潜在局限性,对读者和审稿人都有益处。在这篇综述中,熟悉国家癌症数据库(NCDB)、监测、流行病学和最终结果计划(SEER)、SEER-医疗保险、市场扫描、医疗保健成本和利用项目(HCUP)、国家外科质量改进计划(NSQIP)和 Premier 的研究人员,描述了每个数据库及其包含的数据、访问、管理、存储、亮点和局限性。更好地理解这些常用数据集可以帮助读者、审稿人和研究人员更有效地解释和应用研究结果、评估新的研究、并开展有说服力和改变实践的研究。