Sinonasal adenocarcinoma: Population‐based analysis of demographic and socioeconomic disparities

Abstract

Background Sinonasal adenocarcinoma (SNAC) is a rare tumor. The impact of health disparities on survival, stage at presentation, and utilization of surgery is not well understood in patients with SNAC. Methods The Surveillance, Epidemiology, and End Results database was queried for cases of SNAC from 1973 to 2015. Cases were analyzed to assess for disparities in presentation, treatment, and survival. Results SNAC was identified in 630 patients. In a multivariate model of overall survival, an age increase of 10 years (Hazard Ratio (HR) = 1.37, p < 0.001), male sex (HR = 1.26, p = 0.045), and more recent decade of diagnosis (HR = 0.74, p < 0.001) were significantly related to time‐to‐death. There is a higher rate of SNAC‐related death in counties with more rural populations (p = 0.027). Conclusion Future interventions targeting rural and less well‐educated populations may improve care with the goal of increasing the span of healthy life and reducing survival disparities related to SNAC.

Low-dose nivolumab and cabozantinib in recurrent intestinal-type papillary adenocarcinoma of the sinonasal region

“…Wood dust is recognised as a carcinogen found in association with this malignancy, particularly in cases arising from the ethmoid bone. In contrast, occupational exposure does not strongly associate with maxillary tumours 10–12 14 15. This is consistent with our patient, in whom occupational exposure was not evident.…”

“…Sinonasal adenocarcinoma is further divided into salivary and non-salivary types 10. ITAC, a non-salivary type adenocarcinoma, represents 8%–25% of all sinonasal cancers 11 12. These cancers usually arise from the nasoethmoidal complex, including the ethmoidal roof, cribriform plate, posterior ethmoidal cells, middle turbinate and the posterior superior septum.…”

Long‐term oncologic outcomes in esthesioneuroblastoma: An institutional experience of 143 patients

“…1 Despite these survival outcomes, disease progression is common (≈50%) between 5 and 10 years after primary treatment. 3 Although SEER analysis can be useful and more generalizable by pooling multi-institutional tumor data, it lacks the radiologic data, detailed operative data, patterns of disease progression (only OS is available) and treatment specificity afforded by institutional series and has been reported to lack complete data for RT and CT. [10][11][12][13][14] In fact, SEER now requires investigators to acknowledge the inaccuracies of the RT and CT data before accessing the data, as recent publications have demonstrated an overall sensitivity of 80% for SEER RT data and 68% for SEER CT data when compared with Medicare claims data. 14 Given the rarity of this disease and the challenges associated with using large databases such as SEER to understand the nuances of treatment, it is imperative that high-volume centers publish their data in order to allow future systematic reviews and meta-analyses to be completed.…”

Conflict resolution styles and skills and variation among medical students

“…We were delighted to find no differences in the faculty evaluation of URM and non-URM students especially in light of known racial disparities in student performance evaluations, grades, and membership in the Alpha Omega Alpha Honor Society [36][37][38][39][40][41]. We believe faculty development sessions to develop the evaluation rubric and to practice the rubric contributed to the lack of racial disparities in evaluation by coaches.…”