Secondary databases in gynecologic cancer research.

Area of Science:

• Gynecologic Oncology
• Health Services Research
• Data Science

Background:

• Large observational and cohort studies are crucial in gynecologic oncology.
• Understanding the characteristics of commonly used research databases is essential for accurate interpretation of findings.
• Researchers need to be aware of both the strengths and limitations of these data sources.

Purpose of the Study:

• To provide a comprehensive overview of frequently utilized databases in gynecologic oncology research.
• To detail the data content, accessibility, management, and limitations of key databases.
• To enhance the ability of readers, reviewers, and researchers to critically evaluate and utilize study results.

Main Methods:

• Review of established databases including 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.
• Description of data inclusion, access protocols, data management, storage practices, key features, and inherent limitations for each database.
• Expert insights from researchers experienced with these large datasets.

Main Results:

• Each database (NCDB, SEER, SEER-Medicare, MarketScan, HCUP, NSQIP, Premier) has unique data compositions and accessibility.
• Key highlights and specific limitations are identified for each dataset, impacting their applicability.
• A clear understanding of database specifics is vital for robust research outcomes.

Conclusions:

• Familiarity with the nuances of major gynecologic oncology research databases empowers researchers.
• Improved interpretation and evaluation of research studies are direct benefits of this knowledge.
• This understanding facilitates the development of practice-changing research in the field.