Scheduled out-patient endoscopy and lack of compliance in a minority serving tertiary institution.

INTRODUCTION: Lack of adherence to appointments wastes resources and portends a poorer outcome for patients. The authors sought to determine whether the type of scheduled endoscopic procedures affect compliance. METHODS: The authors reviewed the final endoscopy schedule from January 2010 to August 2010 in an inner city teaching hospital that serves a predominantly African American population. The final schedule only includes patients who did not cancel, reschedule or notify the facility of their inability to adhere to their care plan up to 24 hours before their procedures. All patients had face to face consultation with gastroenterologists or surgeons before scheduling. The authors identified patients who did not show up for their procedures. They used Poisson regression models to calculate relative risks (RR) and 95% confidence intervals (CI). RESULTS: Of 2183 patients who were scheduled for outpatient endoscopy, 400 (18.3%) patients were scheduled for Esophago-gastro-duodenoscopy (EGD), 1,335 (61.2%) for colonoscopy and 448 (20.5%) for both EGD and colonoscopy. The rate of noncompliance was 17.5%, 22.8% and 22.1%, respectively. When compared with those scheduled for only EGD, patients scheduled for colonoscopy alone (RR = 1.47; 95% CI: 1.13-1.92) and patients scheduled for both EGD and colonoscopy (RR = 1.36; 95% CI: 1.01-1.84) were less likely to show up for their procedures. CONCLUSIONS: This study suggests a high rate of noncompliance with scheduled out-patient endoscopy, particularly for colonoscopy. Because this may be a contributing factor to colorectal cancer disparities, increased community outreach on colorectal cancer education is needed and may help to reduce noncompliance.

The number of lymph nodes examined debate in colon cancer: how much is enough?

BACKGROUND: Much debate exists over the significance of the number of lymph nodes (LN) examined after colon resection. MATERIALS AND METHODS: The Surveillance, Epidemiology and End Results (SEER) database was queried for patients who presented with colonic adenocarcinoma. Multiple Cox proportional hazard regressions were run using successive LN cut-offs (6-26), first controlling for and then stratifying by T-stage. This was repeated in subsets of patients delineated by LN status. Additional variables controlled for in every regression were age, gender, ethnicity, marital status, number of positive LN, grade, metastases, and extent of surgery. After each regression, a Harrell's C statistic and an Akaike's information criterion (AIC) were performed to test the predictive capacity and fit of the model, respectively. RESULTS: 128,071 patients met selection criteria. The highest Harrell's C statistics among all patients were the cutoffs at 14 LN and 15 LN. Between those, the AIC shows that the cutoff at 15 LN fit the data more closely than the 14 LN cutoff. The models with the best predictive ability and best fit by T-stage were T1, 14 LN; T2, 10 LN; T3, 10 LN; T4, 12 LN. CONCLUSIONS: Using a population-based dataset, we show the optimal number of LN examined is dependent upon the patient's tumor stage. Across all T-stages, the highest optimal number of LN resected was 15. Since it is possible to estimate but not perfectly predict the stage of a patient's tumor preoperatively, we believe the recommendation should be based on the most conservative measure.