Response to induction chemotherapy in sinonasal malignancies: A single-institutional experience.

BACKGROUND: Sinonasal malignancy (SNM) is a heterogeneous group of diseases for which induction chemotherapy (IC) may reduce tumor burden. The purpose of this study was to characterize the response to IC in SNM as a prognostic factor through its effect on survival. METHODS: Retrospective cohort of patients undergoing IC for SNM between 2010 and 2019 at our quaternary referral center. RESULTS: Forty-two patients with advanced SNM were included in the analysis. Patients with a favorable response to IC had higher survival rates than those who had an unfavorable response (5-year OS: 66.8% vs. 9.7%; p < 0.001; PFS: 56.8% vs. 0%; p < 0.001). CONCLUSIONS: Response to IC in our patient cohort was a prognostic indicator of overall response to treatment. Further elucidation of predictors of response is needed for appropriate patient selection.

Modifiable risk factors for oral cavity cancer in non-smokers: A systematic review and meta-analysis.

BACKGROUND: Oral cavity cancer (OCC) is traditionally associated with smoking, but there is an increasing prevalence of the disease among non-smokers. This review investigates possible modifiable risk factors in the development of OCC in non-smokers (OCCNS). METHODS: PubMed, EMBASE, Web of Science, and Scopus were searched for publications prior to June 2021. Comparative studies investigating modifiable OCCNS risk factors were identified following PRISMA guidelines. Publication date, population size, and results were indexed. Study quality was assessed using MINORS (Methodological Index for Non-Randomized Studies). Factors examined by multiple studies were analyzed using random-effect meta-analysis framework. RESULTS: Literature search resulted in 1,625 unique publications. 52 records met inclusion criterion, investigating alcohol (n = 22), chewing products (n = 18), diet (n = 7), dental health (n = 11), and medical comorbidities (n = 6). CONCLUSION: This review demonstrates the paucity of large studies investigating OCCNS risk factors. Further investigation is warranted to help clinicians risk-stratify patients without traditional risk factors.

Differences in Tonsillectomy Use by Race/Ethnicity and Type of Health Insurance Before and After the 2011 Tonsillectomy Clinical Practice Guidelines.

OBJECTIVE: To evaluate whether differences in pediatric tonsillectomy use by race/ethnicity and type of insurance were impacted by the American Academy of Otolaryngology-Head and Neck Surgery's 2011 tonsillectomy clinical practice guidelines. STUDY DESIGN: We included children aged <15 years from Florida or South Carolina who underwent tonsillectomy in 2004-2017. Annual tonsillectomy rates within groups defined by race/ethnicity and type of health insurance were calculated using US Census data, and interrupted time series analyses were used to compare the guidelines' impact on utilization across groups. RESULTS: The average annual tonsillectomy rate was greater among non-Hispanic white children (66 procedures per 10 000 children) than non-Hispanic black (38 procedures per 10 000 children) or Hispanic children (41 procedures per 10 000 children) (P < .001). From the year before to the year after the guidelines' release, tonsillectomy use decreased among non-Hispanic white children (-11.1 procedures per 10 000 children), but not among non-Hispanic black (-0.9 procedures per 10 000 children) or Hispanic children (+3.9 procedures per 10 000 children) (P < .05). Use was greater among publicly than privately insured children (75 vs 52 procedures per 10 000 children, P < .001). The guidelines were associated with a reversal of the upward trend in use seen in 2004-2010 among publicly insured children (-5.5 procedures per 10 000 children per year, P < .001). CONCLUSIONS: Tonsillectomy use is greatest among white and publicly insured children. However, the American Academy of Otolaryngology-Head and Neck Surgery's 2011 clinical practice guideline statement was associated with an immediate decrease and change in use trends in these groups, narrowing differences in utilization by race/ethnicity and type of insurance.