Variation in Hospital-Specific Rates of Suboptimal Lymphadenectomy and Survival in Colon Cancer: Evidence from the National Cancer Data Base

Ann Surg Oncol. 2016 Dec;23(Suppl 5):674-683. doi: 10.1245/s10434-016-5551-2. Epub 2016 Sep 9.

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.

MeSH terms

  • Age Factors
  • Aged
  • Aged, 80 and over
  • Colectomy / statistics & numerical data
  • Colon, Descending / surgery
  • Colon, Sigmoid / surgery
  • Colonic Neoplasms / pathology*
  • Comorbidity
  • Databases, Factual
  • Female
  • Hospitals, High-Volume / standards
  • Hospitals, High-Volume / statistics & numerical data*
  • Hospitals, Low-Volume / standards
  • Hospitals, Low-Volume / statistics & numerical data*
  • Hospitals, Teaching / standards
  • Hospitals, Teaching / statistics & numerical data*
  • Humans
  • Insurance, Health / statistics & numerical data
  • Lymph Node Excision / standards*
  • Lymph Node Excision / statistics & numerical data*
  • Lymphatic Metastasis
  • Male
  • Middle Aged
  • Neoplasm Grading
  • Neoplasm Staging
  • Sex Factors
  • Survival Rate