Faculty Bibliography

BACKGROUND:Patient, physician, and environmental factors were identified, and the authors examined the contribution of these factors to demographic and health variation in colonoscopy follow-up after a positive fecal occult blood test/fecal immunochemical test (FOBT/FIT) screening. METHODS:In total, 76,243 FOBT/FIT-positive patients were identified from 120 Veterans Health Administration (VHA) facilities between August 16, 2009 and March 20, 2011 and were followed for 6 months. Patient demographic (race/ethnicity, sex, age, marital status) and health characteristics (comorbidities), physician characteristics (training level, whether primary care provider) and behaviors (inappropriate FOBT/FIT screening), and environmental factors (geographic access, facility type) were identified from VHA administrative records. Patient behaviors (refusal, private sector colonoscopy use) were estimated with statistical text mining conducted on clinic notes, and follow-up predictors and adjusted rates were estimated using hierarchical logistic regression. RESULTS:Roughly 50% of individuals completed a colonoscopy at a VHA facility within 6 months. Age and comorbidity score were negatively associated with follow-up. Blacks were more likely to receive follow-up than whites. Environmental factors attenuated but did not fully account for these differences. Patient behaviors (refusal, private sector colonoscopy use) and physician behaviors (inappropriate screening) fully accounted for the small reverse race disparity and attenuated variation by age and comorbidity score. Patient behaviors (refusal and private sector colonoscopy use) contributed more to variation in follow-up rates than physician behaviors (inappropriate screening). CONCLUSIONS:In the VHA, blacks are more likely to receive colonoscopy follow-up for positive FOBT/FIT results than whites, and follow-up rates markedly decline with advancing age and comorbidity burden. Patient and physician behaviors explain race variation in follow-up rates and contribute to variation by age and comorbidity burden. Cancer 2017;123:3502-12. Published 2017. This article is a US Government work and is in the public domain in the USA.

BACKGROUND:The relationship between dietary and lifestyle risk factors and long-term mortality from colorectal cancer is poorly understood. Several factors, such as obesity, intakes of red meat, and use of aspirin, have been reported to be associated with risk of colorectal cancer mortality, though these findings have not been replicated in all studies to date. METHODS:In the Minnesota Colon Cancer Control Study, 46,551 participants 50-80 years old were randomly assigned to usual care (control) or annual or biennial screening by fecal occult blood testing. Colon cancer mortality was assessed after 30 years of follow-up. Dietary intake and lifestyle risk factors were assessed by questionnaire at baseline. RESULTS:Age [hazard ratio (HR) 1.09; 95% CI 1.07, -1.11], male sex (HR 1.25; 95% CI 1.01, 1.57), and higher body mass index (BMI) (HR 1.03; 95% CI 1.00-1.05) increased the risk of CRC mortality, while undergoing screening for CRC was associated with a reduced risk of colorectal cancer mortality (HR 0.76; 95% CI 0.61-0.94 and 0.67; 95% CI 0.53-0.83 for biennial and annual screening, respectively). Intakes of grains, meats, proteins, coffee, alcohol, aspirin, fiber, fruits, and vegetables were not associated with colorectal cancer mortality. CONCLUSIONS:Our study confirms the relationship between BMI and long-term colorectal cancer mortality. Modulation of BMI may reduce risk of CRC mortality.

PURPOSE OF REVIEW/OBJECTIVE:The goal of this review is to summarize stool-based testing for colorectal cancer (CRC). The key questions answered in this review were the advantages and limitations of each available stool-based test for CRC and to examine their comparative efficacy. RECENT FINDINGS/RESULTS:Guaiac-based fecal occult blood testing (gFOBT) is no longer a relevant test for CRC screening. fecal immunochemical testing (FIT) tests, especially quantitative assays, are clearly a reliable stool-based test. Multitarget DNA (mtsDNA) stool testing may represent a viable option as well, although cost and test characteristics are yet fully defined. FIT and mtsDNA represent the options for stool-based CRC screening. In larger screening centers, quantitative FIT assays represent an attractive option for stool-based testing. Qualitative FIT has applicability in smaller centers. Although a large validation trial showed promising results for mtsDNA, further head-to-head trials with FIT will help define the ultimate role of mtsDNA. Ultimately, however, the best test for CRC screening is the one performed stool-based CRC screening as an initial or alternative option can increase participation in CRC screening.

BACKGROUND AND AIMS/OBJECTIVE: Accurate sizing of polyps at time of colonoscopy is critical for determining surveillance intervals. Endoscopists routinely over- or underestimate the size of polyps at colonoscopy. We evaluated the variability in sizing of polyps among multiple endoscopists, and the effect of patient and physician related factors on polyp size estimation in a large community-based practice. METHODS: Adult patients who underwent a colonoscopy with polypectomy at five endoscopy centers in Minneapolis/St. Paul by one of 52 endoscopists in 2013 were included in this study. Association of patient, physician, and procedure related factors on polyp sizing was assessed. RESULTS: In the study time frame, 38 624 colonoscopies were performed at five ambulatory endoscopy centers. Of these, 16 336 had one or more polyp removed with size information available, and were included in this analysis. There was significant inter-physician variation for estimating polyp sizes larger than 5 mm (intraclass correlation coefficient [ICC] 0.13). Older patient age (OR 1.08, 95 %CI 1.06 - 1.11), and male physician gender (OR 1.92, 95 %CI 1.26 - 2.94) were associated with increased odds of physicians sizing polyps as larger in size. Surveillance procedures had a higher odds of larger polyp sizing compared to screening (OR 0.91, 95 %CI 0.86 - 0.97) and diagnostic procedures (OR 0.86, 95 %CI 0.78 - 0.94). CONCLUSION/CONCLUSIONS: In a large community setting, variation of polyp sizing estimates exists between physicians. Male physicians were more likely to size polyps as larger in size. Older patients and patients undergoing surveillance procedures were more likely to have polyps that were sized as larger in size.