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Chan, Norine W

0000-0001-6760-8350

Mayo Clinic

Division of Surgical Oncology, Department of Surgery, Duke University Medical Center, Durham, North Carolina, USA.

Citations 2

Development of Common Data Elements for Organ Transplantation
McElroy, Lisa M. , Rogers, Ursula , Nichols, Liz, Strauss, Alexandra T. , Ross‐Driscoll, Katie , Deirhoi-Reed, Rhiannon, Chan, Norine W. , Henson, Jackie B., Taber, D., Milam, Adam J. , Patzer, Rachel E. , Gagnon, Jennifer, Kirk, Allan D. , McElroy, Lisa M , Chan, Norine W , Milam, Adam J , Bhavsar, Nrupen Anjan , Schappe, Tyler , Harding, Jessica L. , Gordon, Elisa J. , Henson, Jackie B., Ng, Yue‐Harn , Schold, Jesse D , Caicedo, Juan Carlos , Adams, Andrew B. , Berchuck, Samuel I. , Matsouaka, Roland

JAMA Network Open | April 28, 2025 | Volume: 8 | Issue: 4 | Pages: e257704

10.1001/jamanetworkopen.2025.7704 Get It

This cohort study examines the validity of an electronic health record data model for organ transplantation.
A guide to large data sets for population‐based cancer research: Strengths, limitations, and pitfalls
Chan, Norine W. , Cheung, Dillon C., Fong, Zhi Ven , Chan, Norine W , Fong, Zhi Ven , Martin, Allison N.

Cancer | August 19, 2024 | Volume: 130 | Issue: 22 | Pages: 3802-3814

10.1002/cncr.35535 Get It

AbstractWith the proliferation of cancer research based on large databases, misalignment of research questions and data set capabilities is inevitable. Nationally maintained databases are appealing to cancer researchers because of the ease of access to large amounts of patient data available for analysis and risk estimation. Data sets that are commonly used in cancer research include the National Cancer Database, the SEER (Surveillance, Epidemiology, and End Results) program of the National Cancer Institute, the SEER–Medicare database, the American College of Surgeons National Surgical Quality Improvement Program, and the Healthcare Cost and Utilization Project databases, among others. Each data set has pros and cons with respect to variable availability and the ability to analyze cancer‐specific outcomes. It is critical for researchers to understand the strengths and limitations of each database. Changing variable definitions, the length of postoperative data collection, and the availability of patient‐reported outcomes or social determinants of health data are examples of factors that researchers must consider when selecting a data set for research purposes. For the current review, the authors summarized the advantages and disadvantages of various national data sets for cohort studies in cancer populations.