Background: There is significant heterogeneity in the treatment of stage IIIA non–small cell lung cancer (NSCLC). This study evaluated the therapeutic and survival disparities in patients with stage IIIA NSCLC based on the facility volume using the National Cancer Database. Methods: Patients with stage IIIA NSCLC diagnosed from 2004 through 2015 were included. Facilities were classified by tertiles based on mean patients treated per year, with low-volume facilities treating ≤8 patients, intermediate-volume treating 9 to 14 patients, and high-volume treating ≥15 patients. Cox multivariate analysis was used to determine the volume–outcome relationship. Results: Analysis included 83,673 patients treated at 1,319 facilities. Compared with patients treated at low-volume facilities, those treated at high-volume centers were more likely to be treated with surgical (25% vs 18%) and trimodality (12% vs 9%) therapies. In multivariate analysis, facility volume was independently associated with all-cause mortality (P<.0001). Median overall survival by facility volume was 15, 16, and 19 months for low-, intermediate-, and high-volume facilities, respectively (P<.001). Compared with patients treated at high-volume facilities, those treated at intermediate- and low-volume facilities had a significantly higher risk of death (hazard ratio, 1.09 [95% CI, 1.07–1.11] and 1.11 [95% CI, 1.09–1.13], respectively). Conclusions: Patients treated for stage IIIA NSCLC at high-volume facilities were more likely to receive surgical and trimodality therapies and had a significant improvement in survival.
Anuhya Kommalapati, Sri Harsha Tella, Adams Kusi Appiah, Lynette Smith and Apar Kishor Ganti
Sri Harsha Tella, Anuhya Kommalapati, Apar Kishor Ganti and Alissa S. Marr
Background: The advent of targeted therapies and immunomodulatory agents has revolutionized the management of advanced cutaneous malignant melanoma (MMel) by prolonging overall survival. This study evaluated the therapeutic and survival disparities among patients with advanced MMel based on hospital volume using the National Cancer Database (NCDB). Methods: A retrospective analysis using regression models and Kaplan-Meier estimates was performed from the data obtained from the NCDB on patients with MMel diagnosed in 2004 through 2015. Results: A total of 40,676 patients with MMel were treated at 1,260 facilities. Multivariable analysis showed that facility volume was an independent predictor of overall survival (P<.0001). Compared with patients treated at high-volume facilities (tertile 3 [T3]), those with stage III disease (n=27,528) treated at intermediate- and low-volume facilities (T2 and T1, respectively) had a significantly higher risk of death (T2 hazard ratio [HR], 1.15; 95% CI, 1.09–1.20; T1 HR, 1.23; 95% CI, 1.17–1.29). Compared with patients treated at T3 facilities, those with stage IV disease (n=13,148) treated at lower-tertile facilities had a significantly higher risk of death (T2 HR, 1.16; 95% CI, 1.10–1.21; T1 HR, 1.29; 95% CI, 1.23–1.36). Further, patients with stage IV disease treated at T3 facilities (vs T1 facilities) were more likely to receive chemotherapy (38% vs 28%) and immunotherapy (23% vs 10%) (P<.0001). Conclusions: Patients with advanced-stage MMel treated at high-volume facilities had significantly improved survival and were more likely to receive chemotherapy and immunotherapy.
Siddhartha Yadav, Sri Harsha Tella, Anuhya Kommalapati, Kristin Mara, Kritika Prasai, Mohamed Hamdy Mady, Mohamed Hassan, Rory L. Smoot, Sean P. Cleary, Mark J. Truty, Lewis R. Roberts and Amit Mahipal
Background: Current staging systems for gallbladder cancer (GBC) are primarily based on surgical pathology and therefore are not relevant for unresectable patients and those undergoing neoadjuvant chemotherapy. Methods: Patients with a confirmed diagnosis of GBC managed at a tertiary referral center (2000–2016) were included. Independent predictors of overall survival (OS) were identified using multivariable analysis (MVA). A combination of these variables was then assessed to identify a set of factors that provided maximal accuracy in predicting OS, and a nomogram and a new staging system were created based on these factors. Harrell’s C-statistic was calculated to evaluate the predictive accuracy of the nomogram and staging system. Results: A total of 528 patients were included in the final analysis. On MVA, factors predictive of poor OS were older age, ECOG performance status, hemoglobin level <9 g/dL, presence of metastases, and alkaline phosphatase (ALP) level >200 U/L. A nomogram and a 4-tier staging system predictive of OS were created using age at diagnosis, ECOG status, tumor size, presence or absence of metastasis, and ALP level. The C-statistic for this novel staging system was 0.71 compared with 0.69 for the TNM staging system (P=.08). In patients who did not undergo surgery, the C-statistics of the novel and TNM staging systems were 0.60 and 0.51, respectively (P<.001). Conclusions: We created a novel, clinically based staging system for GBC based on nonoperative information at the time of diagnosis that was superior to the TNM staging system in predicting OS in patients who did not undergo surgery, and that performed on par with TNM staging in surgical patients.