Abstract
6503 Background: Examined lymph node (ELN) number is an important quality metric in cancer care. This large international cohort study aimed to investigate the associations of ELN number with accurate staging and long-term survival in pancreatic cancer (PaC) and to robustly determine the minimal and optimal ELN thresholds. Methods: Population-based data on patients with stage I-II PaC resected in 2003-2015 from the US Surveillance, Epidemiology, and End Results (SEER)-18 Program and Netherlands National Cancer Registry (NCR) were analyzed. Associations of ELN number with stage migration and survival were evaluated using multivariable-adjusted logistic and Cox regression models, respectively. The series of odds ratios (ORs) for stage migration and hazard ratios (HRs) for survival with more ELNs were fitted using a LOWESS smoother, and structural breakpoints were determined by Chow test. Results: Overall 18,303 patients were analyzed. With increasing ELN number, both cohorts exhibited significant proportional increases from node-negative to node-positive disease (ORSEER-18= 1.05, 95% CI = 1.04-1.05; ORNCR= 1.10, 95% CI = 1.08-1.12) and serial improvements in survival (HRSEER-18= 0.98, 95% CI = 0.98-0.99; HRNCR= 0.98, 95% CI = 0.97-0.99) per additional ELN after controlling for confounders. Associations for stage migration and survival remained significant in most stratifications by patient, tumor, and treatment factors. Cut-point analyses suggested a minimal threshold ELN number of 12 and an optimal number of 19, which were validated both internally in the derivative US cohort and externally in the Dutch cohort with the ability to well discriminate different probabilities of both survival and stage migration. Conclusions: In stage I-II PaC, more ELNs are associated with more precise nodal staging, which might largely explain the survival association. Our results robustly conclude 12 ELNs as the minimal and suggest 19 ELNs as the optimal cut-points, for evaluating quality of lymph node examination and possibly for stratifying postoperative prognosis. Our findings provide important references for defining population-based quality metrics in PaC care.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.