Michael Goodman1, Robert H Fletcher2, V Paul Doria-Rose3, Christopher D Jensen4, Alexis M Zebrowski5, Tracy A Becerra6, Virginia P Quinn6, Ann G Zauber7, Douglas A Corley4, Chyke A Doubeni5. 1. Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA. 2. Department of Population Health, Harvard Medical School, Boston, MA 02115, USA. 3. Division of Cancer Control & Population Sciences, National Cancer Institute, Bethesda, MD 20892, USA. 4. Division of Research, Kaiser Permanente, Oakland, CA, USA. 5. Department of Family Medicine & Community Health, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA. 6. Department of Research & Evaluation, Kaiser Permanente, Pasadena, CA 91107, USA. 7. Department of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
Abstract
AIMS: Screening colonoscopy's effectiveness in reducing risk of death from right colon cancers remains unclear. Methodological challenges of existing observational studies addressing this issue motivated the design of 'Effectiveness of Screening for Colorectal Cancer in Average-Risk Adults (SCOLAR)'. METHODS: SCOLAR is a nested case-control study based on two large integrated health systems. This affords access to a large, well-defined historical cohort linked to integrated data on cancer outcomes, patient eligibility, test indications and important confounders. RESULTS: We found electronic data adequate for excluding ineligible patients (except family history), but not the detailed information needed for test indication assignment. CONCLUSION: The lessons of SCOLAR's design and implementation may be useful for future studies seeking to evaluate the effectiveness of screening tests in community settings.
AIMS: Screening colonoscopy's effectiveness in reducing risk of death from right colon cancers remains unclear. Methodological challenges of existing observational studies addressing this issue motivated the design of 'Effectiveness of Screening for Colorectal Cancer in Average-Risk Adults (SCOLAR)'. METHODS: SCOLAR is a nested case-control study based on two large integrated health systems. This affords access to a large, well-defined historical cohort linked to integrated data on cancer outcomes, patient eligibility, test indications and important confounders. RESULTS: We found electronic data adequate for excluding ineligible patients (except family history), but not the detailed information needed for test indication assignment. CONCLUSION: The lessons of SCOLAR's design and implementation may be useful for future studies seeking to evaluate the effectiveness of screening tests in community settings.
Entities:
Keywords:
cancer screening; case–control study; colorectal cancer; selection bias
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