Secondary databases in gynecologic cancer research.
Katherine Hicks-CourantEmily Meichun KoKoji MatsuoAlexander MelamedDimitrios NasioudisJose Alejandro Rauh-HainShitanshu UppalJason D WrightPedro T RamirezPublished in: International journal of gynecological cancer : official journal of the International Gynecological Cancer Society (2024)
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.
Keyphrases
- quality improvement
- healthcare
- big data
- patient safety
- papillary thyroid
- public health
- adverse drug
- palliative care
- endometrial cancer
- electronic health record
- risk factors
- emergency department
- machine learning
- artificial intelligence
- squamous cell carcinoma
- risk assessment
- cross sectional
- young adults
- case control
- social media
- drug induced
- health information
- data analysis