Adan Z Becerra1,2, Mariana E Berho3, Christian P Probst4, Christopher T Aquina4, Mohamedtaki A Tejani5, Maynor G Gonzalez4, Zhaomin Xu4, Alex A Swanger4, Katia Noyes6,4, John R Monson7, Fergal J Fleming4. 1. Department of Public Health Sciences, University of Rochester Medical Center, 601 Elmwood Avenue, Rochester, NY, 14642, USA. adan_becerra@urmc.rochester.edu. 2. Surgical Health Outcomes and Research Enterprise, Department of Surgery, University of Rochester Medical Center, 601 Elmwood Avenue, Rochester, NY, 14642, USA. adan_becerra@urmc.rochester.edu. 3. Department of Laboratory Medicine, Cleveland Clinic Florida, 2950 Cleveland Clinic Boulevard, Weston, FL, 33331, USA. 4. Surgical Health Outcomes and Research Enterprise, Department of Surgery, University of Rochester Medical Center, 601 Elmwood Avenue, Rochester, NY, 14642, USA. 5. Department of Medicine, Hematology/Oncology, University of Rochester Medical Center, 601 Elmwood Avenue, Rochester, NY, 14642, USA. 6. Department of Public Health Sciences, University of Rochester Medical Center, 601 Elmwood Avenue, Rochester, NY, 14642, USA. 7. Florida Hospital Medical Group, Florida Hospital, Center for Colon and Rectal Surgery, Orlando, FL, USA.
Abstract
BACKGROUND: Little is known about between-hospital differences in the rate of suboptimal lymphadenectomy. This study characterizes variation in hospital-specific rates of suboptimal lymphadenectomy and its effect on overall survival in a national hospital-based registry. METHODS: Stage I-III colon cancer patients were identified from the 2003-2012 National Cancer Data Base. Bayesian multilevel logistic regression models were used to assess the impact of patient- and hospital-level factors on hospital-specific rates of suboptimal lymphadenectomy (<12 lymph nodes), and multilevel Cox models were used to estimate the effect of suboptimal lymphadenectomy at the patient (yes vs. no) and hospital level (quartiles of hospital-specific rates) on overall survival. RESULTS: A total of 360,846 patients across 1345 hospitals in the US met the inclusion criteria, of which 25 % had a suboptimal lymphadenectomy. Wide variation was observed in hospital-specific rates of suboptimal lymphadenectomy (range 0-82 %, median 44 %). Older age, male sex, comorbidity score, no insurance, positive margins, lower tumor grade, lower T and N stage, and sigmoid and left colectomy were associated with higher odds of suboptimal lymphadenectomy. Patients treated at lower-volume and non-academic hospitals had higher odds of suboptimal lymphadenectomy. Patient- and hospital-level factors explained 5 % of the between-hospital variability in suboptimal lymphadenectomy, leaving 95 % unexplained. Higher suboptimal lymphadenectomy rates were associated with worse survival (quartile 4 vs. quartile 1: hazard ratio 1.19, 95 % confidence interval 1.16-1.22). CONCLUSION: Large differences in hospital-specific rates of suboptimal lymphadenectomy were observed, and this variation was associated with survival. Quality improvement initiatives targeting hospital-level adherence to the national standard may improve overall survival among resected colon cancer patients.
BACKGROUND: Little is known about between-hospital differences in the rate of suboptimal lymphadenectomy. This study characterizes variation in hospital-specific rates of suboptimal lymphadenectomy and its effect on overall survival in a national hospital-based registry. METHODS: Stage I-III colon cancerpatients were identified from the 2003-2012 National Cancer Data Base. Bayesian multilevel logistic regression models were used to assess the impact of patient- and hospital-level factors on hospital-specific rates of suboptimal lymphadenectomy (<12 lymph nodes), and multilevel Cox models were used to estimate the effect of suboptimal lymphadenectomy at the patient (yes vs. no) and hospital level (quartiles of hospital-specific rates) on overall survival. RESULTS: A total of 360,846 patients across 1345 hospitals in the US met the inclusion criteria, of which 25 % had a suboptimal lymphadenectomy. Wide variation was observed in hospital-specific rates of suboptimal lymphadenectomy (range 0-82 %, median 44 %). Older age, male sex, comorbidity score, no insurance, positive margins, lower tumor grade, lower T and N stage, and sigmoid and left colectomy were associated with higher odds of suboptimal lymphadenectomy. Patients treated at lower-volume and non-academic hospitals had higher odds of suboptimal lymphadenectomy. Patient- and hospital-level factors explained 5 % of the between-hospital variability in suboptimal lymphadenectomy, leaving 95 % unexplained. Higher suboptimal lymphadenectomy rates were associated with worse survival (quartile 4 vs. quartile 1: hazard ratio 1.19, 95 % confidence interval 1.16-1.22). CONCLUSION: Large differences in hospital-specific rates of suboptimal lymphadenectomy were observed, and this variation was associated with survival. Quality improvement initiatives targeting hospital-level adherence to the national standard may improve overall survival among resected colon cancerpatients.
Authors: Arielle E Kanters; Joceline V Vu; Ari D Schuman; Inga Van Wieren; Ashley Duby; Karin M Hardiman; Samantha K Hendren Journal: Am J Surg Date: 2019-09-28 Impact factor: 2.565
Authors: Christopher T Aquina; Matthew Truong; Carla F Justiniano; Roma Kaur; Zhaomin Xu; Francis P Boscoe; Maria J Schymura; Adan Z Becerra Journal: Ann Surg Oncol Date: 2020-05-06 Impact factor: 5.344