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Cancer Survival Analysis01:21

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Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
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Related Experiment Video

Updated: Jun 19, 2025

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
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Secondary databases in gynecologic cancer research.

Katherine Hicks-Courant1,2, Emily Meichun Ko2,3,4, Koji Matsuo5,6

  • 1Ann B. Barshinger Cancer Institute, Lancaster General Health, Lancaster, Pennsylvania, USA katherine.hicks-courant2@pennmedicine.upenn.edu.

International Journal of Gynecological Cancer : Official Journal of the International Gynecological Cancer Society
|July 23, 2024
PubMed
Summary

This review explains the benefits and drawbacks of large databases like NCDB and SEER used in gynecologic oncology research. Understanding these datasets improves the interpretation and application of study findings.

Keywords:
Cost-Benefit AnalysisCost-Effectiveness AnalysisCosts and Cost AnalysisCross-Sectional StudiesRetrospective Study

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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.